Program Details : University Catalogs : University of Minnesota

NR 8107 - Seminar: Natural Resources Science and Management

Credits:	1.0 [max 1.0]
Typically offered:	Every Fall & Spring

A required seminar designed for M.S. and Ph.D. candidates nearing the end of their degree programs. Topics include science communication, presentation design concepts, and related content. Expect assignments focused on data visualization and communication, student presentations, and presentation reviews.

AGRO 5121 - Applied Experimental Design

Credits:	4.0 [max 4.0]
Course Equivalencies:	Agro 5121/Ent 5121
Typically offered:	Every Spring

Principles of sampling methodologies, experimental design, and statistical analyses. Methods/procedures in generating scientific hypotheses. Organizing, initiating, conducting, and analyzing scientific experiments using experimental designs and statistical procedures. prereq: Stat 5021 or equiv or instr consent

APEC 5031 - Methods of Economic Data Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

The course introduces linear statistical economic (econometric) models with and without independent errors. It also introduces econometric models for analyzing discrete response variables, censored response variables, and non-random data samples. It shows how these econometric models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. prereq: APEC 3001, Math 1142 or Math 1272, Stat 3001 or Sco 2550 or grad student or instructor consent

APEC 5032 - Economic Data Analysis for Managerial and Policy Decisions

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

The course covers statistical and econometric methods for the analysis of data to support managerial and policy decisions. It includes methods for organizing, accessing, and ensuring the quality of data. The econometric methods covered by the course are applicable to panel, discrete response, duration, and time series data. prereq: 5031 or instr consent

APEC 8211 - Econometric Analysis I

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are independent and the sample size is large. it shows how linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: ApEc 5031 or equiv OR Ph.D. student OR instr consent

APEC 8212 - Econometric Analysis II

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are dependent because individual units are sampled over regular time intervals (panel data) as well as for other reasons. It shows how these linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: 8211 or equiv or instr consent

CI 8149 - Qualitative Research: Coding, Analysis, Interpretation, and Writing

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall

How to code/analyze field notes. Individual/group interviews, multimedia using NUDIST NVivo software. Students interpret analyzed material and complete an article length document that includes a review of related research/methodology. prereq: [8133, 8148, grad student, completion of a qualitative research study] or instr consent

CSCI 5302 - Analysis of Numerical Algorithms

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Additional topics in numerical analysis. Interpolation, approximation, extrapolation, numerical integration/differentiation, numerical solutions of ordinary differential equations. Introduction to optimization techniques. prereq: 2031 or 2033 or instr consent

CSCI 5707 - Principles of Database Systems

Credits:	3.0 [max 3.0]
Course Equivalencies:	CSci 4707/CSci 5707/INET 4707
Typically offered:	Every Fall

Concepts, database architecture, alternative conceptual data models, foundations of data manipulation/analysis, logical data models, database designs, models of database security/integrity, current trends. prereq: [4041 or instr consent], grad student

DES 8103 - Qualitative Research Methods in Design

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Qualitative Research Methods in Design provides an overview of qualitative research methods in design research. This course reviews a series of qualitative research inquiries (grounded theory, ethnographic research, case studies), data collection (interview, observation, focus groups), and analysis methods (coding). This course discusses how these methodologies and methods are applied to graduate-level research in different design contexts.

ECON 8201 - Econometric Analysis

Credits:	2.0 [max 2.0]
Typically offered:	Every Fall

Basic linear regression model, its variants. Panel data, censored/truncated regression, discrete choice models. Time series, simultaneous equation models. prereq: [[3101 or equiv], [Math 1272 or equiv], Stat 5102] or instr consent

ECON 8203 - Econometric Analysis

Credits:	2.0 [max 2.0]
Typically offered:	Every Spring

Basic linear regression model, its variants. Panel data, censored/truncated regression, discrete choice models. Time series, simultaneous equation models. prereq: 8202

ECON 8204 - Econometric Analysis

Credits:	2.0 [max 2.0]
Typically offered:	Every Spring

Basic linear regression model, its variants. Panel data, censored/truncated regression, discrete choice models. Time series, simultaneous equation models. prereq: 8203

EEB 5068 - Plant Physiological Ecology

Credits:	3.0 [max 3.0]
Course Equivalencies:	EEB 4068/EEB 5068
Grading Basis:	OPT No Aud
Typically offered:	Spring Even Year

Plant function, its plasticity/diversity in ecological context.Impact of environmental stresses on major physiological processes of plants, including photosynthesis, respiration, water uptake/transport, and nutrient uptake/assimilation. Lab, field trip to Cedar Creek. prereq: BIOL 2022 or BIOL 3002 or BIOL 3407 or BIOL 3408W or instr consent

EEB 5609 - Ecosystem Ecology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Regulation of energy and elements cycling through ecosystems. Dependence of cycles on kinds/numbers of species within ecosystems. Effects of human-induced global changes on functioning of ecosystems.

EPSY 5221 - Principles of Educational and Psychological Measurement

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Concepts, principles, and methods in educational/psychological measurement. Reliability, validity, item analysis, scores, score reports (e.g., grades). Modern measurement theories, including item response theory and generalizability theory. Emphasizes construction, interpretation, use, and evaluation of assessments regarding achievement, aptitude, interests, attitudes, personality, and exceptionality.

EPSY 5244 - Survey Design, Sampling, and Implementation

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Survey methods, including mail, phone, and Web-based/e-mail surveys. Principles of measurement, constructing questions/forms, pilot testing, sampling, data analysis, reporting. Students develop a survey proposal and a draft survey, pilot the survey, and develop sampling/data analysis plans. prereq: [5221 or 5231 or 5261 or equiv], [CEHD grad student or MEd student]

EPSY 5247 - Qualitative Methods in Educational Psychology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Introduction to qualitative methods of inquiry. Contrasting different research traditions (e.g., case study, phenomenology, ethnography, social interactionism, critical theory). Practice with field notes, observations, and interviewing. Use of NVIVO to track/code data. prereq: Graduate student or Applied Psychology in Educational and Community Settings Minor

EPSY 5261 - Introductory Statistical Methods

Credits:	3.0 [max 3.0]
Course Equivalencies:	EPsy 3264/5231/5261/5263
Typically offered:	Every Fall, Spring & Summer

EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.

EPSY 5262 - Intermediate Statistical Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Application of statistical concepts/procedures. Analysis of variance, covariance, multiple regression. Experimental design: completely randomized, block, split plot/repeated measures. prereq: 3264 or 5261 or equiv

EPSY 8266 - Statistical Analysis Using Structural Equation Methods

Credits:	3.0 [max 3.0]
Prerequisites:	8265, [8252 or equiv]
Typically offered:	Periodic Spring

Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]

ESPM 5031 - Applied Global Positioning Systems for Geographic Information Systems

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3031/ESPM 5031
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

GPS principles, operations, techniques to improve accuracy. Datum, projections, and coordinate systems. Differential correction, accuracy assessments discussed/applied in lab exercises. Code/carrier phase GPS used in exercises. GPS handheld units, PDA based ArcPad/GPS equipment. Transferring field data to/from desktop systems, integrating GPS data with GIS. prereq: Grad student or instr consent

ESPM 5071 - Ecological Restoration

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 5071/Hort 5071
Typically offered:	Every Fall

Each ecosystem restoration is the product of a myriad of decisions made in response to existing site conditions (biotic and abiotic), anticipated effects from the surrounding landscape, predictions about future events, logistical realities, and, of course, desired conditions. During this course, you will learn about the ecological and social factors that affect ecosystem recovery and how people intervene to reverse ecosystem degradation. The course includes examples from ecosystems around the world, with emphasis on those found in the Midwestern US. Field trips. PREREQUISITES: This course presumes previous courses in basic ecology and plant science.

ESPM 5111 - Hydrology and Water Quality Field Methods

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3111/ESPM 5111
Prerequisites:	Grad student or #
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Integrates water quality, surface/groundwater hydrology. Case studies, hands-on field data collection, calculations of hydrological/water quality parameters. Meteorological data, snow hydrology, stream gauging, well monitoring, automatic water samplers. Designing water quality sampling program. Geomorphology, interception, infiltration. prereq: Grad student or instr consent

ESPM 5211 - Survey, Measurement, and Modeling for Environmental Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3211/ESPM 5211
Typically offered:	Every Spring

Survey, measurement, and modeling concepts/methods for study of natural resources/environmental issues. Emphasizes survey design for data collection, estimation, and analysis for issues encompassing land, water, air, vegetation, wildlife, and human/social variables.

ESPM 5242 - Methods for Environmental and Natural Resource Policy Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 4242/ESPM 5242
Grading Basis:	A-F only
Typically offered:	Fall Even Year

Methods, formal and informal, for analyzing environmental and natural resource policies. How to critically evaluate policies, using economic and non-economic decision-making criteria. Application of policy analysis principles/concepts to environmental/natural resource problems. Recognizing politically-charged environment in which decisions over use, management, and protection of these resources often occur. prereq: grad student

ESPM 5261 - Economics and Natural Resources Management

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 3261/ESPM 5261
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Microeconomic principles and their application to natural resource management problems. Economic and policy tools to address market failures. Discussion of regulatory and market-based instruments. Discounting and compounding concepts. Methods for conducting financial and economic analyses of natural resource management projects. Decision criteria when conducting benefit/cost analysis of natural resource projects. Methods for valuing non-market natural resource goods and services. Economics of managing renewable natural resources such as forests and fisheries. Land economics. Payments for environmental services. Planning and management problems. Case studies.

ESPM 5295 - GIS in Environmental Science and Management

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Application of geographic information science and technologies (GIS) in complex environmental problems. Students gain experience in spatial data collection, database development, and spatial analysis, including GNSS and field attribute collection, image interpretation, and existing data fusion, raster/vector data integration and analysis, information extraction from LiDAR data, DEM conditioning and hydrologic analysis, neighborhood analysis, bulk processing and automation, and scripting. Problems vary depending on topics, often with extra-University partners. *Please note that students should have completed a semester-long, introductory lab/lecture GIS course at the graduate or undergraduate level before enrolling in this course, e.g., FNRM 5131. We do not require any given course because students come from varied universities and backgrounds. That said, we assume a knowledge commensurate with a comprehensive introductory course. Students seeking a first course are directed to FNRM 5131. If you have questions regarding your capabilities, please contact the instructor prior to enrolling.

ESPM 5603 - Environmental Life Cycle Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3603/ESPM 5603
Grading Basis:	A-F only
Typically offered:	Every Fall

Concepts, major issues relating to inventory and subsequent analysis of production systems. Production system from holistic point of view, using term commonly used in industrial ecology: "the metabolic system." prereq: [Math 1142 or [Math 1271, Math 1282]], [Econ 1101 or ApEc 1101]

FNRM 5114 - Hydrology and Watershed Management

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3114/FNRM 5114
Typically offered:	Every Fall

Hydrologic cycle and water processes in upland/riparian systems. Applications of hydrological concepts to evaluate impacts of forest and land management activities on water yield, streamflow, groundwater erosion, sedimentation, and water quality. Concepts, principles, and applications of riparian/watershed management. Regional/national/global examples. Forest ecosystems.

FNRM 5131 - Geographical Information Systems (GIS) for Natural Resources

Credits:	4.0 [max 4.0]
Course Equivalencies:	FNRM 3131/FNRM 5131/FR 3131/
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Geographic information systems (GIS), focusing on spatial data development and analysis in the science and management of natural resources. Basic data structures, sources, collection, and quality; geodesy and map projections; spatial and tabular data analyses; digital elevation data and terrain analyses; cartographic modeling and layout. Lab exercises provide practical experiences complementing theory covered in lecture. prereq: Grad student or instr consent

FNRM 5218 - Measuring and Modeling Forests

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3218/FNRM 5218
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

General sampling design and survey techniques to assess current resource conditions. Application of metrics/sampling methods to forest vegetation. Calculation of tree/stand volume, selection of modeling approaches. Case studies of modeling to project future growth. Landscape processes, characterization, and modeling.

FNRM 5228 - Advanced Topics in Assessment and Modeling of Forests

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Fall Even Year

Application of recently developed mathematics, computer science, and statistics methodologies to natural resource functioning, management, and use problems. Specific topics, software, and methodologies vary. prereq: 3218, Math 1272, Stat 5021

FNRM 5262 - Remote Sensing and Geospatial Analysis of Natural Resources and Environment

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3262/FNRM 5262
Typically offered:	Every Fall & Spring

Introductory principles and techniques of remote sensing and geospatial analysis applied to mapping and monitoring land and water resources from local to global scales. Examples of applications include: Land cover mapping and change detection, forest and natural resource inventory, water quality monitoring, and global change analysis. The lab provides hands-on experience working with satellite, aircraft, and drone imagery, and image processing methods and software. Prior coursework in Geographic Information Systems and introductory Statistics is recommended. prereq: Grad student or instr consent

FNRM 5462 - Advanced Remote Sensing and Geospatial Analysis

Credits:	3.0 [max 6.0]
Course Equivalencies:	FNRM 3462/FNRM 5462
Typically offered:	Every Spring

This course builds on the introductory remote sensing class, FNRM 3262/5262. It provides a detailed treatment of advanced remote sensing and geospatial theory and methods including Object-Based Image Analysis (OBIA), lidar processing and derivatives, advanced classification algorithms (including Random Forest, Neural Networks, Support Vector Machines), biophysics of remote sensing, measurements and sensors, data transforms, data fusion, multi-temporal analysis, and empirical modeling. In-class and independent lab activities will be used to apply the course topics to real-world problems. Prior coursework in Geographic Information Systems, remote sensing, and statistics is necessary. Prereq: grad student or instr consent

FNRM 5471 - Forest Management Planning

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3471/FNRM 5471
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Management science as applied to forest decision-making to help develop better forest management plans. Helps students develop a basic understanding of common analytical tools from operations research and how they are applied to forestry problems to help explore many potential solutions. Also reviews traditional approaches based on simulation. Emphasizes trade-off information, interpretation of model results, and linkages between stand-level economic analysis and forest-wide planning. Reviews recent modeling efforts in Minnesota. Includes synthesis of information from multiple natural resource disciplines. Guest speakers demonstrate value of analyses in planning. Emphasizes homework assignments with some group work. An individual project requires an informal class presentation. prereq: Grad student

FNRM 8101 - Research Problems: Physiological Ecology

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8102 - Research Problems: Forest-Tree Genetics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8103 - Research Problems: Forest Hydrology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8104 - Research Problems: Forest Ecology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8105 - Research Problems: Silviculture

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8106 - Research Problems: Urban Forestry--Biology and Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8201 - Research Problems: Forest Economics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8202 - Research Problems: Forest Biometry and Measurements

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8203 - Research Problems: Forest Recreation

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8204 - Research Problems: Forest Policy

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8205 - Research Problems: Spatial Data Analysis

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8206 - Research Problems: Forest Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8207 - Economic Analysis of Natural Resource Projects

Credits:	1.0 -5.0 [max 5.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8208 - Research Problems: Environmental Learning and Leadership

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FW 8200 - Seminar

Credits:	1.0 -4.0 [max 16.0]
Grading Basis:	S-N or Aud
Typically offered:	Every Fall & Spring

Oral and written student reports on selected topics from current literature in fisheries biology and management and wildlife. Lectures by and discussions with faculty and visiting specialists.

GEOG 5531 - Numerical Spatial Analysis

Credits:	4.0 [max 4.0]
Course Equivalencies:	Geog 3531/5531
Typically offered:	Every Fall

Applied/theoretical aspects of geographical quantitative methods for spatial analysis. Emphasizes analysis of geographical data for spatial problem solving in human/physical areas.

GEOG 5562 - GIS Development Practicum

Credits:	3.0 [max 3.0]
Prerequisites:	GIS 5571 or #
Typically offered:	Periodic Fall

Algorithms/data structures for digital cartographic data, topological relationships, surface modeling, and interpolation. Map projections, geometric transformations, numerical generalization, raster/vector processing. Hands-on experience with software packages. prereq: GIS 5571 or instr consent

GEOG 8260 - Seminar: Physical Geography

Credits:	2.0 [max 3.0]
Typically offered:	Every Spring

Topics of contemporary research. Topics vary with interests of faculty offering course.

GIS 5555 - Basic Spatial Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

How to use spatial data to answer questions on a wide array of social, natural, and information science issues. Exploratory data analysis/visualization. Spatial autocorrelation analysis/regression. prereq: [STAT 3001 or equiv, MGIS student] or instr consent

GIS 5571 - ArcGIS I

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

First of a two-course series focusing on ArcGIS Desktop. Overview of ArcGIS system and its use for spatial data processing. Data capture, editing, geometric transformations, map projections, topology, Python scripting, and map production. prereq: [GEOG 5561 or equiv, status in MGIS program, familiarity with computer operating systems] or instr consent

GIS 5572 - ArcGIS II

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Continues GIS 5571. Raster analysis, dynamic segmentation, geometric networks, geocoding, Python scripting, and data interoperability. Substantial projects include map and poster design and production. prereq: [5571, [GEOG 5561 or equiv], in MGIS program] or instr consent

GIS 5577 - Spatial Database Design and Administration

Credits:	3.0 [max 1.0]
Typically offered:	Every Spring

This semi-synchronous online graduate level course is aimed at students who have a foundation in GIS and spatial analysis methods and applications, and are interested in expanding their knowledge into the area spatial database design and spatial analysis. The course covers the following topics: 1) SQL and spatial-SQL queries, database design, and ArcServer Administration. This is an applied course and the objective is to introduce the fundamentals of databases, learn about how spatial data is treated into databases and apply spatial analysis methods. Students taking the class will have moderate to advanced understanding of GIS classes, but do not have much exposure to databases.

GIS 5578 - GIS Programming

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

This Python-focused GIS course is intended for students who have some Python programming experience, or have experience with other programming language(s) and knowledge transferable to Python. Following a review of Python basics, students will use Python modules for spatial data management, mapping, and analysis, including ArcGIS's ArcPy package; work with classes in Python; develop custom modules; and create development environments. A semester-long programming project applying Python skills to a GIS challenge is a significant component of the course. prereq: instr consent

GRAD 8101 - Teaching in Higher Education

Credits:	3.0 [max 3.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Fall, Spring & Summer

Teaching methods/techniques. Active learning, critical thinking, practice teaching, and preparing a portfolio to document/reflect upon teaching. Readings, discussion, peer teaching, e-mail dialog, reflective writing, co-facilitation of course. prereq: Non-Degree Students: contact pffcollege consentumn.edu with questions about registration. If adding a section after first class meeting, contact your instructor as soon as you enroll.

GRAD 8200 - Teaching and Learning Topics in Higher Education

Credits:	1.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Create course materials for context/discipline. Assess student learning. Write action plan. Topics may include active learning in sciences, teaching with technology, multicultural education, teaching in clinical settings, learning-community course design.

NR 5021 - Statistics for Agricultural and Natural Resource Professionals

Credits:	3.0 [max 3.0]
Course Equivalencies:	AnSc 3011/ESPM 3012/NR 5021/St
Typically offered:	Every Spring

This course is designed for graduate students in the agricultural, environmental, natural resources, and other related programs that require an understanding of statistics and applied quantitative research. Course content focuses on data analysis approaches using common statistical methods, e.g., probability and distributions, simple linear, multiple, and logistic regression, linear models, and analysis of variance. This course is completely online and asynchronous. prereq: College algebra or instructor consent

NR 8100 - Topics in Natural Resources Science and Management

Credits:	1.0 -2.0 [max 2.0]
Grading Basis:	S-N only
Typically offered:	Periodic Fall & Spring

Topics course for NRSM

OLPD 5061 - Ethnographic Research Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall, Spring & Summer

This course introduces students to knowledge and skills appropriate for the conduct of ethnographic research. Underlying purposes, assumptions, and distinctive characteristics of ethnographic methods will be examined as well as appropriate exemplars. Accordingly, the course emphasizes links between research purposes, the conceptualization of ethnographic projects and the development of researchable questions. The course also takes up a variety of ethical and political issues related to working with participants during the research process, as well as contemporary trustworthiness criteria for ethnographic written accounts. The bulk of the course is given to training in observation, generating field notes, developing interview questions, interviewing, collecting material cultural artifacts, using surveys, and analyzing, interpreting, and writing up ethnographic data. The first part of the course focuses on a critical discussion of ethnographic research purposes, epistemological assumptions, and essential features. Students choose and explore a published ethnographic study from their field of interest. The second part of the course is devoted to a very small scale ethnographic project which students design and carry out themselves. This project is supported by relevant readings and in-class activities (including peer review) related to the actual conduct of ethnographic research.

PA 5002 - Introduction to Policy Analysis

Credits:	1.5 [max 1.5]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Process of public policy analysis from problem structuring to communication of findings. Commonly used analytical methods. Alternative models of analytical problem resolution.

PA 5031 - Statistics for Public Affairs

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.

PA 5041 - Qualitative Methods for Policy Analysts

Credits:	4.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Qualitative analysis techniques, examples of application. Meet with researcher. Hands-on experience in designing, gathering, analyzing data.

PA 5920 - Skills Workshop

Credits:	0.5 -4.0 [max 48.0]
Typically offered:	Every Fall & Spring

Topics on public policy or planning skills. Topics specified in Class Schedule.

POL 8126 - Qualitative Methods

Credits:	3.0 [max 3.0]
Typically offered:	Fall Even, Spring Odd Year

Qualitative methods in social science. Hands-on training through fieldwork projects. Interviewing, participant observation, narrative interpretation, ethical problems. Issues of gender/race in fieldwork. prereq: Grad student

PUBH 7250 - Designing and Conducting Focus Group Interviews

Credits:	1.0 [max 1.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Spring & Summer

Interactive, intensive overview of focus group procedures for public/non-profit environments. Practical approaches to determining appropriate use of focus groups. Design options, developing questions, recruiting participants, moderating. Analyzing/reporting results.

PUBH 7407 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Contingency tables, odds ratio, relative risk, chi-square tests, log-linear models, logistic regression, conditional logistic regression, Poisson regression, matching, generalized linear models for independent data. SAS/S-Plus used throughout. prereq: 7405, [Stat 5102 or concurrent registration is required (or allowed) in Stat 5102 or Stat 8102 or concurrent registration is required (or allowed) in Stat 8102]

PUBH 8472 - Spatial Biostatistics

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall & Spring

Spatial data, spatial statistical models, and spatial inference on unknown parameters or unobserved spatial data. Nature of spatial data. Special analysis tools that help to analyze such data. Theory/applications. prereq: [[STAT 5101, STAT 5102] or [STAT 8101, STAT 8102]], some experience with S-plus; STAT 8311 recommended

SOC 5811 - Social Statistics for Graduate Students

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall

In this course, students will learn core statistical and computations principles that will allow them to perform quantitative analyses using social data. The course is designed for social science students at the beginning of their graduate school careers. However, advanced undergraduates can take the course, which will involve a few modifications to the assignment schedule. Sociology 5811 will review basic probability, and then move on to univariate inference, the linear regression model, and introductory lessons of causal inference. In doing so, students will explore statistical concepts and methods that provide the foundation sociologists use to most commonly collect and analyze numerical evidence. Sociology 5811 will also provide the foundation for data management and statistical inference using Stata, a statistical computing environment that is popular in the social sciences. prereq: Undergraduate students are expected to have familiarity with the materials taught in the equivalent of 3811. Students who are unsure of the course requirements should contact the instructor. Undergraduates with a strong math background are encouraged to register for 5811 in lieu of 3811. Soc majors must register A-F. 5811 is a good social statistics foundation course for MA students from other programs. 5811 will not count for credits towards the Soc PhD program requirements.

SOC 8801 - Sociological Research Methods

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall & Spring

Multiple objectives of social research and how they inform research design. Conceptualization and measurement of complex concepts. Broad issues in research design and quantitative and qualitative approaches to data collection and management. prereq: Grad soc major or instr consent

SOC 8811 - Advanced Social Statistics

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Statistical methods for analyzing social data. Sample topics: advanced multiple regression, logistic regression, limited dependent variable analysis, analysis of variance and covariance, log-linear models, structural equations, and event history analysis. Applications to datasets using computers. prereq: recommend 5811 or equiv; graduate student or instr consent

SOIL 5555 - Wetland Soils

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 5555/Soil 5555
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Morphology, chemistry, hydrology, formation of mineral/organic soils in wet environments. Soil morphological indicators of wet conditions, field techniques of identifying hydric soils for wetland delineations. Peatlands. Wetland benefits, preservation, regulation, mitigation. Field trips, lab, field hydric soil delineation project. prereq: SOIL 1125 or 2125 or equiv or instr consent; concurrent registration is required (or allowed) in SOIL 4511 recommended

STAT 5021 - Statistical Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall & Spring

Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011

STAT 5101 - Theory of Statistics I

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall

Logical development of probability, basic issues in statistics. Probability spaces. Random variables, their distributions and expected values. Law of large numbers, central limit theorem, generating functions, multivariate normal distribution. prereq: (MATH 2263 or MATH 2374 or MATH 2573H), (MATH 2142 or CSCI 2033 or MATH 2373 or MATH 2243)

STAT 5102 - Theory of Statistics II

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall & Spring

Sampling, sufficiency, estimation, test of hypotheses, size/power. Categorical data. Contingency tables. Linear models. Decision theory. prereq: [5101 or Math 5651 or instr consent]

STAT 5201 - Sampling Methodology in Finite Populations

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Simple random, systematic, stratified, unequal probability sampling. Ratio, model based estimation. Single stage, multistage, adaptive cluster sampling. Spatial sampling. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5302 - Applied Regression Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications. prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.

STAT 5303 - Designing Experiments

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Analysis of variance. Multiple comparisons. Variance-stabilizing transformations. Contrasts. Construction/analysis of complete/incomplete block designs. Fractional factorial designs. Confounding split plots. Response surface design. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5401 - Applied Multivariate Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall

Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.

STAT 5421 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Varieties of categorical data, cross-classifications, contingency tables. Tests for independence. Combining 2x2 tables. Multidimensional tables/loglinear models. Maximum-likelihood estimation. Tests for goodness of fit. Logistic regression. Generalized linear/multinomial-response models. prereq: STAT 3022 or 3032 or 3301 or 5302 or 4051 or 8051 or 5102 or 4102

STAT 5511 - Time Series Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Characteristics of time series. Stationarity. Second-order descriptions, time-domain representation, ARIMA/GARCH models. Frequency domain representation. Univariate/multivariate time series analysis. Periodograms, non parametric spectral estimation. State-space models. prereq: STAT 4102 or STAT 5102

STAT 5601 - Nonparametric Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Order statistics. Classical rank-based procedures (e.g., Wilcoxon, Kruskal-Wallis). Goodness of fit. Topics may include smoothing, bootstrap, and generalized linear models. prereq: Stat classes 3032 or 3022 or 4102 or 5021 or 5102 or instr consent

STAT 8051 - Advanced Regression Techniques: linear, nonlinear and nonparametric methods

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Linear/generalized linear models, modern regression methods including nonparametric regression, generalized additive models, splines/basis function methods, regularization, bootstrap/other resampling-based inference. prereq: Statistics grad or instr consent

STAT 8052 - Applied Statistical Methods 2: Design of Experiments and Mixed -Effects Modeling

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Design experiments/analyze data with fixed effects, random/mixed effects models. ANOVA for factorial designs. Contrasts, multiple comparisons, power/sample size, confounding, fractional factorials. Computer-generated designs. Response surfaces. Multi-level models. Generalized estimating equations (GEE) for longitudinal data with non-normal errors. prereq: 8051 or instr consent

STAT 8053 - Applied Statistical Methods 3: Multivariate Analysis and Advanced Regression

Credits:	3.0 [max 3.0]
Prerequisites:	PhD student in stat or DGS permission and 8052
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Standard multivariate analysis. Multivariate linear model, classification, clustering, principal components, factor analysis, canonical correlation. Topics in advanced regression. prereq: PhD student in stat or DGS permission and 8052

STAT 8054 - Statistical Methods 4: Advanced Statistical Computing

Credits:	3.0 [max 3.0]
Prerequisites:	STAT 8053 or #
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Optimization, numerical integration, Markov chain Monte Carlo, related topics. prereq: STAT 8053 or instr consent

WRIT 5051 - Graduate Research Writing for International Students

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall, Spring & Summer

Graduate research writing emphasizes writing techniques, structures, style, and formal language for scholarly writing including research proposals and abstracts, critiques/reviews, and thesis/dissertations and publications. Special focus on field-specific scholarly expectations, documentation, structure/style, grammar, formal or scholarly vocabulary, and extensive revising/editing based on instructor and mentor feedback to meet graduate standards. Discussions. prereq: Grad student

AGRO 5121 - Applied Experimental Design

Credits:	4.0 [max 4.0]
Course Equivalencies:	Agro 5121/Ent 5121
Typically offered:	Every Spring

Principles of sampling methodologies, experimental design, and statistical analyses. Methods/procedures in generating scientific hypotheses. Organizing, initiating, conducting, and analyzing scientific experiments using experimental designs and statistical procedures. prereq: Stat 5021 or equiv or instr consent

APEC 5031 - Methods of Economic Data Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

The course introduces linear statistical economic (econometric) models with and without independent errors. It also introduces econometric models for analyzing discrete response variables, censored response variables, and non-random data samples. It shows how these econometric models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. prereq: APEC 3001, Math 1142 or Math 1272, Stat 3001 or Sco 2550 or grad student or instructor consent

APEC 5032 - Economic Data Analysis for Managerial and Policy Decisions

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

The course covers statistical and econometric methods for the analysis of data to support managerial and policy decisions. It includes methods for organizing, accessing, and ensuring the quality of data. The econometric methods covered by the course are applicable to panel, discrete response, duration, and time series data. prereq: 5031 or instr consent

APEC 5151 - Applied Microeconomics: Firm and Household

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

The course provides a mathematical treatment of cost -benefit analysis in terms of the theory of how prices, income, preferences, and other factors affect consumer choices and the demand for goods and services. It also includes treats the theory of how prices, technology, and other important factors affect producer decisions, the supply of goods and services, and the demand for productive resources. This demand and supply analysis is then combined to explore the theory of price determination in competitive and noncompetitive markets. The optimization theories and economic models are developed without and with uncertainty. prereq: (APEC 3001, Math 1142 or Math 1272, and Stat 3011 or Sco 2550) or equiv or grad student or instr consent

APEC 5321 - Regional Economic Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Development patterns. Role of resources, transportation, and institutional constraints. Migration, investments in growth and change. Economic information in investment and location decisions. Economic development policies and tools. Economic impact analysis. prereq: 3006 or ECON 3102 or instr consent

APEC 5721 - Economics of Science and Technology Policy

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

This course covers the economic effects of science and technology policies, such as intellectual property rights. The course considers the effects of policies on: (1) the economic growth and development levels of countries; (2) the international technology transfers that occur between countries through trade, foreign direct investment, and licensing arrangements; and (3) differences in the economic welfare of developed and developing countries. prereq: APEC 3001 or ECON 3101 or instr consent

APEC 8004 - Applied Microeconomic Analysis of Social Choice and Welfare

Credits:	2.0 [max 2.0]
Course Equivalencies:	ApEc 8400/Econ 8400/Econ 8104
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

The course provides a rigorous mathematical treatment of cost-benefit analysis in terms of the theory of how prices of goods and services are determined in competitive markets, and the implications of these prices on social welfare. It shows what happens to the prices of goods and services and social welfare when competitive markets fail. Part of four-course, year-long sequence (APEC 8001-2-3-4). prereq: [[8003 or ECON 8003 or ECON 8103], [[MATH 2243, MATH 2263] or equiv]] or instr consent

APEC 8202 - Mathematical Optimization in Applied Economics

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Economic foundations and applications of mathematical and dynamic programming and optimal control. Mathematical optimization concepts; structures and economic interpretations of various models of the firm, consumer, household, sector, and economy. Model building and solution techniques. prereq: [5151, Econ 5151] or equiv or instr consent

APEC 8203 - Applied Welfare Economics and Public Policy

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Basic concepts underlying measurement of welfare change, problems of market failure and externalities, social welfare functions, and distribution within and across generations. Application of concepts, based on case studies of the environment, returns to research, technical change, and agricultural policy. prereq: calculus, intermediate econ theory

APEC 8211 - Econometric Analysis I

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are independent and the sample size is large. it shows how linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: ApEc 5031 or equiv OR Ph.D. student OR instr consent

APEC 8212 - Econometric Analysis II

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are dependent because individual units are sampled over regular time intervals (panel data) as well as for other reasons. It shows how these linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: 8211 or equiv or instr consent

APEC 8601 - Natural Resource Economics

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall & Spring

Economic analysis of resource use and management. Capital theory, dynamic resource allocation. Applications to renewable and nonrenewable resources. Empirical studies, policy issues. prereq: [5151, 8202, 8206 [ECON 5151 or equiv]] or instr consent

APEC 8602 - Economics of the Environment

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Economic analysis of environmental management, emphasizing environmental policy. Application of microeconomic theory to problems of market failure, market-based pollution control policies, contingent valuation, hedonic models, option value, and other topics. prereq: 8004 or ECON 8004 or ECON 8104 or equiv or instr consent

CI 8149 - Qualitative Research: Coding, Analysis, Interpretation, and Writing

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall

How to code/analyze field notes. Individual/group interviews, multimedia using NUDIST NVivo software. Students interpret analyzed material and complete an article length document that includes a review of related research/methodology. prereq: [8133, 8148, grad student, completion of a qualitative research study] or instr consent

COMM 5441 - Communication in Human Organizations

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall, Spring & Summer

Communication in organizational settings. Organizational structure and dynamics and their effect upon the communication process. Individual projects.

COMM 8452 - Seminar: Methods of Intercultural/Diversity Facilitation

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall, Spring & Summer

Theories of and techniques for managing effective intercultural communication and diversity. Intercultural training. prereq: 4451 or 5452 recommended

DES 8103 - Qualitative Research Methods in Design

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Qualitative Research Methods in Design provides an overview of qualitative research methods in design research. This course reviews a series of qualitative research inquiries (grounded theory, ethnographic research, case studies), data collection (interview, observation, focus groups), and analysis methods (coding). This course discusses how these methodologies and methods are applied to graduate-level research in different design contexts.

ECON 8105 - Macroeconomic Theory

Credits:	2.0 [max 2.0]
Typically offered:	Every Fall

Dynamic general equilibrium models: solving for paths of interest rates, consumption, investment, prices. Models with uncertainty, search, matching, indivisibilities, private information. Implications for measurement and data reporting. Overlapping generations and dynasty models. Variational and recursive methods. This seven-week course meets with 4165. prereq: 5152 or equiv, Math 2243, Math 2263 or equiv or instr consent

ECON 8106 - Macroeconomic Theory

Credits:	2.0 [max 2.0]
Typically offered:	Every Fall

Dynamic general equilibrium models: solving for paths of interest rates, consumption, investment, prices. Models with uncertainty, search, matching, indivisibilities, private information. Implications for measurement and data reporting. Overlapping generations and dynasty models. Variational and recursive methods. This seven-week course meets with 4166. prereq: 8105

EEB 5609 - Ecosystem Ecology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Regulation of energy and elements cycling through ecosystems. Dependence of cycles on kinds/numbers of species within ecosystems. Effects of human-induced global changes on functioning of ecosystems.

EEB 8200 - Sustainability Science Distributed Graduate Seminar

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Theories of sustainability science. Interactions between human/environmental systems. Improving present/future generations. Presentations/papers. Contemporary research from earth systems science, resource economics, institutional analysis, ecology, geography, development studies, health sciences, engineering.

EPSY 5221 - Principles of Educational and Psychological Measurement

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Concepts, principles, and methods in educational/psychological measurement. Reliability, validity, item analysis, scores, score reports (e.g., grades). Modern measurement theories, including item response theory and generalizability theory. Emphasizes construction, interpretation, use, and evaluation of assessments regarding achievement, aptitude, interests, attitudes, personality, and exceptionality.

EPSY 5243 - Principles and Methods of Evaluation

Credits:	3.0 [max 3.0]
Course Equivalencies:	OLPD 5501/EPsy 5243
Typically offered:	Every Fall, Spring & Summer

Introductory course in program evaluation; planning an evaluation study, collecting and analyzing information, reporting results; overview of the field of program evaluation.

EPSY 5244 - Survey Design, Sampling, and Implementation

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Survey methods, including mail, phone, and Web-based/e-mail surveys. Principles of measurement, constructing questions/forms, pilot testing, sampling, data analysis, reporting. Students develop a survey proposal and a draft survey, pilot the survey, and develop sampling/data analysis plans. prereq: [5221 or 5231 or 5261 or equiv], [CEHD grad student or MEd student]

EPSY 5247 - Qualitative Methods in Educational Psychology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Introduction to qualitative methods of inquiry. Contrasting different research traditions (e.g., case study, phenomenology, ethnography, social interactionism, critical theory). Practice with field notes, observations, and interviewing. Use of NVIVO to track/code data. prereq: Graduate student or Applied Psychology in Educational and Community Settings Minor

EPSY 5261 - Introductory Statistical Methods

Credits:	3.0 [max 3.0]
Course Equivalencies:	EPsy 3264/5231/5261/5263
Typically offered:	Every Fall, Spring & Summer

EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.

EPSY 5262 - Intermediate Statistical Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Application of statistical concepts/procedures. Analysis of variance, covariance, multiple regression. Experimental design: completely randomized, block, split plot/repeated measures. prereq: 3264 or 5261 or equiv

EPSY 8266 - Statistical Analysis Using Structural Equation Methods

Credits:	3.0 [max 3.0]
Prerequisites:	8265, [8252 or equiv]
Typically offered:	Periodic Spring

Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]

ESPM 5061 - Water Quality and Natural Resources

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Recent literature in field. Complements 4061. Ecology of aquatic ecosystems, how they are valuable to society and changed by landscape management. Case studies, impaired waters, TMDL process, student engagement in simulating water quality decision making.

ESPM 5071 - Ecological Restoration

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 5071/Hort 5071
Typically offered:	Every Fall

Each ecosystem restoration is the product of a myriad of decisions made in response to existing site conditions (biotic and abiotic), anticipated effects from the surrounding landscape, predictions about future events, logistical realities, and, of course, desired conditions. During this course, you will learn about the ecological and social factors that affect ecosystem recovery and how people intervene to reverse ecosystem degradation. The course includes examples from ecosystems around the world, with emphasis on those found in the Midwestern US. Field trips. PREREQUISITES: This course presumes previous courses in basic ecology and plant science.

ESPM 5108 - Ecology of Managed Systems

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 3108/ESPM 5108
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Analysis of functioning of ecosystems primarily structured by managed plant communities. Managed forests, field-crop agroecosystems, rangelands, aquatic systems. Structure-function relations. Roles of biodiversity in productivity, resource-use efficiency, nutrient cycling, resilience. Emerging principles for design of sustainable managed ecosystems, provision of ecological services. prereq: Sr or grad student

ESPM 5111 - Hydrology and Water Quality Field Methods

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3111/ESPM 5111
Prerequisites:	Grad student or #
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Integrates water quality, surface/groundwater hydrology. Case studies, hands-on field data collection, calculations of hydrological/water quality parameters. Meteorological data, snow hydrology, stream gauging, well monitoring, automatic water samplers. Designing water quality sampling program. Geomorphology, interception, infiltration. prereq: Grad student or instr consent

ESPM 5202 - Environmental Conflict Management, Leadership, and Planning

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3202WESPM /5202
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Negotiation of natural resource management issues. Use of collaborative planning. Case study approach to conflict management, strategic planning, and building leadership qualities. Emphasizes analytical concepts, techniques, and skills.

ESPM 5211 - Survey, Measurement, and Modeling for Environmental Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3211/ESPM 5211
Typically offered:	Every Spring

Survey, measurement, and modeling concepts/methods for study of natural resources/environmental issues. Emphasizes survey design for data collection, estimation, and analysis for issues encompassing land, water, air, vegetation, wildlife, and human/social variables.

ESPM 5241 - Natural Resource and Environmental Policy

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3241W/ESPM 5241
Typically offered:	Every Spring

Political processes at play in management of environment and how disagreements are addressed by different stakeholders, private-sector interests, government agencies and institutions, communities, and nonprofit organizations. prereq: Grad student or instr consent

ESPM 5242 - Methods for Environmental and Natural Resource Policy Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 4242/ESPM 5242
Grading Basis:	A-F only
Typically offered:	Fall Even Year

Methods, formal and informal, for analyzing environmental and natural resource policies. How to critically evaluate policies, using economic and non-economic decision-making criteria. Application of policy analysis principles/concepts to environmental/natural resource problems. Recognizing politically-charged environment in which decisions over use, management, and protection of these resources often occur. prereq: grad student

ESPM 5245 - Sustainable Land Use Planning and Policy

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3245/ESPM 5245
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Planning theories, concepts, and constructs. Policies, processes, and tools for sustainable land use planning. Scientific/technical literature related to land use planning. Skills needed to participate in sustainable land use planning.

ESPM 5251 - Natural Resources in Sustainable International Development

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3251/ESPM 5251/LAS 3251
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

International perspectives on resource use in developing countries. Integration of natural resource issues with social, economic, and policy considerations. Agriculture, forestry, agroforestry, non-timber forest products, water resources, certification, development issues. Latin American case studies. prereq: Grad student or instr consent

ESPM 5256 - Natural Resource Law and the Management of Public Lands and Waters

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 4256/ESPM 5256
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

This course is intended to provide non-law students with an understanding of the role of the judiciary in the management of public lands and public waters. The course will examine Constitutional provisions affecting the management of public resources, the concept of property rights, major principles of water law, the role of the legal system in environmental review, the scope of legal authority granted to administrative agencies, and limitations of private property rights to protect public lands and public waters. The class will introduce students to the concepts of legal reasoning including case synthesis and analysis. The class will be taught using a combination of lecture, guest lectures, written exercises and class participation. prereq: grad student

ESPM 5261 - Economics and Natural Resources Management

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 3261/ESPM 5261
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Microeconomic principles and their application to natural resource management problems. Economic and policy tools to address market failures. Discussion of regulatory and market-based instruments. Discounting and compounding concepts. Methods for conducting financial and economic analyses of natural resource management projects. Decision criteria when conducting benefit/cost analysis of natural resource projects. Methods for valuing non-market natural resource goods and services. Economics of managing renewable natural resources such as forests and fisheries. Land economics. Payments for environmental services. Planning and management problems. Case studies.

ESPM 5602 - Regulations and Corporate Environmental Management

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3602/ESPM 5602
Grading Basis:	A-F only
Typically offered:	Every Spring

Concepts, major issues relating to industrial ecology and industry as they are influenced by current standards/regulations at local, state, and national levels. prereq: APEC 1101 or ECON 1101

ESPM 5603 - Environmental Life Cycle Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3603/ESPM 5603
Grading Basis:	A-F only
Typically offered:	Every Fall

Concepts, major issues relating to inventory and subsequent analysis of production systems. Production system from holistic point of view, using term commonly used in industrial ecology: "the metabolic system." prereq: [Math 1142 or [Math 1271, Math 1282]], [Econ 1101 or ApEc 1101]

ESPM 5604 - Environmental Management Systems and Strategy

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3603/ESPM 5603
Grading Basis:	A-F only
Typically offered:	Every Fall

Environmental problems such as climate change, ozone depletion, and loss of biodiversity.

ESPM 5811 - Environmental Interpretation

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 4811/ESPM 5811
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

This course is designed to be an introduction to the broad field of Environmental Interpretation, Communication Theory, Visitor Information Services (VIS), and Nonformal Education experience's found in parks, nature centers, camps, zoos, museums, arboretums, and free-choice learning environments. Students will understand the definitions, role and scope of interpretation, differences between audiences and/or users of interpretive services, and distinguish between interpretive techniques based on their advantages/disadvantages. Students can also qualify for the National Association for Interpretation's (NAI) Certified Interpretive Guide (CIG) program.

FNRM 5101 - Park and Protected Area Tourism

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3101/FNRM 5101
Grading Basis:	A-F or Aud
Typically offered:	Fall Odd Year

Tourism is a significant industry locally, nationally, and internationally. Park and protected area attractions are among the most visited but also the most vulnerable attractions. This course is designed to familiarize you with the basic concept of park and protected area tourism, including cultural and ecotourism, and then develop your expertise to plan and evaluate sustainable tourism development and operations. Accordingly, you will complete assignments that apply the knowledge gained to planning and evaluation activities. This course is offered partially online. COURSE OBJECTIVES By the end of the class you will be able to: 1. Differentiate and appreciate the complexities involved with defining and developing nature, eco, heritage, geo-, park and protected, cultural & "sustainable tourism." 2. Identify specific social, economic, and environmental impacts associated with park and protected area tourism, how to measure them, and methods to minimize the negative and maximize the positive impacts. 3. Analyze domestic and international case studies of park and protected area tourism. 4. Critically evaluate park and protected area tourism services and effective management and planning. 5. Create elements of a business plan for park and protected area tourism operations that emphasize sustainability.

FNRM 5104 - Forest Ecology

Credits:	4.0 [max 4.0]
Course Equivalencies:	FNRM 3104/FNRM 5104
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Form and function of forests as ecological systems. Characteristics and dynamics of species, populations, communities, landscapes, and ecosystem processes. Examples applying ecology to forest management. Weekly discussions on research topics, exercises, and current issues in forest resource management. Required weekend field trip. Introductory biology course recommended.

FNRM 5114 - Hydrology and Watershed Management

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3114/FNRM 5114
Typically offered:	Every Fall

Hydrologic cycle and water processes in upland/riparian systems. Applications of hydrological concepts to evaluate impacts of forest and land management activities on water yield, streamflow, groundwater erosion, sedimentation, and water quality. Concepts, principles, and applications of riparian/watershed management. Regional/national/global examples. Forest ecosystems.

FNRM 5131 - Geographical Information Systems (GIS) for Natural Resources

Credits:	4.0 [max 4.0]
Course Equivalencies:	FNRM 3131/FNRM 5131/FR 3131/
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Geographic information systems (GIS), focusing on spatial data development and analysis in the science and management of natural resources. Basic data structures, sources, collection, and quality; geodesy and map projections; spatial and tabular data analyses; digital elevation data and terrain analyses; cartographic modeling and layout. Lab exercises provide practical experiences complementing theory covered in lecture. prereq: Grad student or instr consent

FNRM 5203 - Forest Fire and Disturbance Ecology

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3203/FNRM 5203
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Ecology, history, management, control of fire, wind, insect infestation, deer browsing, other disturbances in forests, including disturbance regimes of boreal, northern hardwood, savannas of North America. Influence of disturbance on wildlife habitat, urban/wildland interfaces, forest management, stand/landscape dynamics. Tree mortality in fires, successional patterns created by fires, interactions of life history traits of plants with disturbances. prereq: Grad student or instr consent

FNRM 5204 - Landscape Ecology and Management

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3204/FNRM 5204
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Introduction to landscape ecology at different scales in time/space. Development/implications of broad-scale patterns of ecological phenomena, role of disturbance in ecosystems. Characteristic spatial/temporal scales of ecological events. Principles of landscape ecology as framework for landscape research, analysis, conservation, and management. prereq: Grad student or instr consent

FNRM 5264 - Advanced Forest Management Planning

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Modeling tools for forest planning to better integrate forest resource conditions/uses and better understand trade-offs and potential management strategies. Analyzing facets of forest management that add complexity including multi-market interactions, temporal detail, spatial objectives, planning under uncertainty, and recourse strategies. Optimization models, decomposition and heuristic techniques designed to capitalize on characteristics of forestry problems. Case studies involving recent or ongoing large-scale applications. Student projects with opportunity to tailor to student interests or expertise.

FNRM 5411 - Managing Forest Ecosystems: Silviculture

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3411/FNRM 5411
Grading Basis:	A-F only
Typically offered:	Every Fall

Management of forest ecosystems for sustaining ecological integrity, soil productivity, water quality, wildlife habitat, biological diversity, commodity production in landscape context. Silvics, forest dynamics, disturbances, regeneration, restoration, silvicultural systems. Ramifications of management choices. Weekend field trip. FEMC track students should take FNRM 5413 concurrently. prereq: grad student

FNRM 5462 - Advanced Remote Sensing and Geospatial Analysis

Credits:	3.0 [max 6.0]
Course Equivalencies:	FNRM 3462/FNRM 5462
Typically offered:	Every Spring

This course builds on the introductory remote sensing class, FNRM 3262/5262. It provides a detailed treatment of advanced remote sensing and geospatial theory and methods including Object-Based Image Analysis (OBIA), lidar processing and derivatives, advanced classification algorithms (including Random Forest, Neural Networks, Support Vector Machines), biophysics of remote sensing, measurements and sensors, data transforms, data fusion, multi-temporal analysis, and empirical modeling. In-class and independent lab activities will be used to apply the course topics to real-world problems. Prior coursework in Geographic Information Systems, remote sensing, and statistics is necessary. Prereq: grad student or instr consent

FNRM 5413 - Managing Forest Ecosystems: Silviculture Lab

Credits:	1.0 [max 1.0]
Grading Basis:	A-F only
Typically offered:	Every Fall

Development of silvicultural prescriptions to achieve various landowner objectives. Timber cruise, growth/yield simulations, stand density management diagrams, thinning schedules, use of forest vegetation simulator. This will include mandatory field trips. prereq: FNRM-FEMC track students should take FNRM 3411/5411 concurrently

FNRM 5431 - Timber Harvesting and Road Planning

Credits:	2.0 [max 2.0]
Course Equivalencies:	FNRM 3431/FNRM 5431
Typically offered:	Every Spring

Introduction to forest operations. Terminology, basic engineering, equipment and harvesting system options, productivity/costs. Relationship to forest management and silviculture. Road planning, forest management guidelines, approaches for mitigating potential impacts to forest resources. Environmental implications of method/equipment choices. Selling timber. Sale design, layout, and administration. One all-day field trip. prereq: grad student

FNRM 5471 - Forest Management Planning

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3471/FNRM 5471
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Management science as applied to forest decision-making to help develop better forest management plans. Helps students develop a basic understanding of common analytical tools from operations research and how they are applied to forestry problems to help explore many potential solutions. Also reviews traditional approaches based on simulation. Emphasizes trade-off information, interpretation of model results, and linkages between stand-level economic analysis and forest-wide planning. Reviews recent modeling efforts in Minnesota. Includes synthesis of information from multiple natural resource disciplines. Guest speakers demonstrate value of analyses in planning. Emphasizes homework assignments with some group work. An individual project requires an informal class presentation. prereq: Grad student

FNRM 5501 - Urban Forest Management: Managing Greenspaces for People

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 4501/FNRM 5501
Typically offered:	Every Spring

Management concepts for green infrastructure of cities, towns, and communities. Urban forest as social/biological resource. Emphasizes management of urban forest ecosystem to maximize benefits. Tree selection, risk assessment, cost-benefit analysis, landscape planning, values, perceptions. How urban forestry can be a tool to improve community infrastructure.

FNRM 8101 - Research Problems: Physiological Ecology

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8102 - Research Problems: Forest-Tree Genetics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8103 - Research Problems: Forest Hydrology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8104 - Research Problems: Forest Ecology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8105 - Research Problems: Silviculture

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8106 - Research Problems: Urban Forestry--Biology and Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8201 - Research Problems: Forest Economics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8202 - Research Problems: Forest Biometry and Measurements

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8203 - Research Problems: Forest Recreation

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8204 - Research Problems: Forest Policy

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8205 - Research Problems: Spatial Data Analysis

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8206 - Research Problems: Forest Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8207 - Economic Analysis of Natural Resource Projects

Credits:	1.0 -5.0 [max 5.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8208 - Research Problems: Environmental Learning and Leadership

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FW 4001 - Biometry

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

This course covers the basic foundations of statistical methods. In contrast to traditional methods of teaching statistics based on analytical formulas and hand-calculations, we will initially emphasize simulation-based methods (randomization tests, bootstrapping) for analyzing data. Students will learn how to implement common statistical methods (e.g., one and two sample tests, interval estimation techniques, linear regression) in the R programming language, and gain experience analyzing real data from a variety of fields, with particular emphasis on biological examples and applications.

FW 5003 - Human Dimensions of Biological Conservation

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Survey of social, psychological, economic, policy aspects of managing/conserving wildlife, fisheries, and related resources. prereq: [Biol 1001 or Biol 1009], Biol 3407

FW 8200 - Seminar

Credits:	1.0 -4.0 [max 16.0]
Grading Basis:	S-N or Aud
Typically offered:	Every Fall & Spring

Oral and written student reports on selected topics from current literature in fisheries biology and management and wildlife. Lectures by and discussions with faculty and visiting specialists.

FW 8494 - Research in Wildlife

Credits:	1.0 -4.0 [max 4.0]
Typically offered:	Every Fall

Directed research. prereq: instr consent

GEOG 5561 - Principles of Geographic Information Science

Credits:	4.0 [max 4.0]
Course Equivalencies:	Geog 3561/ Geog 5561
Typically offered:	Every Fall & Spring

Introduction to the study of geographic information systems (GIS) for geography and non-geography students. Topics include GIS application domains, data models and sources, analysis methods and output techniques. Lectures, reading, and hands-on experience with GIS software. prereq: grad

GEOG 8101 - Proseminar: Nature and Society

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall & Spring

Interconnectedness of environment and people, nature and society. Conceptual literature and empirical studies in human/cultural/political ecology. prereq: instr consent

GIS 5555 - Basic Spatial Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

How to use spatial data to answer questions on a wide array of social, natural, and information science issues. Exploratory data analysis/visualization. Spatial autocorrelation analysis/regression. prereq: [STAT 3001 or equiv, MGIS student] or instr consent

GIS 5571 - ArcGIS I

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

First of a two-course series focusing on ArcGIS Desktop. Overview of ArcGIS system and its use for spatial data processing. Data capture, editing, geometric transformations, map projections, topology, Python scripting, and map production. prereq: [GEOG 5561 or equiv, status in MGIS program, familiarity with computer operating systems] or instr consent

GIS 5572 - ArcGIS II

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Continues GIS 5571. Raster analysis, dynamic segmentation, geometric networks, geocoding, Python scripting, and data interoperability. Substantial projects include map and poster design and production. prereq: [5571, [GEOG 5561 or equiv], in MGIS program] or instr consent

GRAD 8101 - Teaching in Higher Education

Credits:	3.0 [max 3.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Fall, Spring & Summer

Teaching methods/techniques. Active learning, critical thinking, practice teaching, and preparing a portfolio to document/reflect upon teaching. Readings, discussion, peer teaching, e-mail dialog, reflective writing, co-facilitation of course. prereq: Non-Degree Students: contact pffcollege consentumn.edu with questions about registration. If adding a section after first class meeting, contact your instructor as soon as you enroll.

GRAD 8200 - Teaching and Learning Topics in Higher Education

Credits:	1.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Create course materials for context/discipline. Assess student learning. Write action plan. Topics may include active learning in sciences, teaching with technology, multicultural education, teaching in clinical settings, learning-community course design.

LAW 6062 - Energy Law

Credits:	3.0 [max 3.0]
Course Equivalencies:	Law 5062/Law 6062
Grading Basis:	A-F only
Typically offered:	Every Fall

This course provides an introduction to U.S. energy law. The first portion of the course introduces the nation's sources of energy: coal, oil, biofuels, natural gas, hydropower, nuclear, wind, solar, geothermal energy, and energy efficiency. In doing so, it explores the physical, market, and legal structures within which these energy sources are extracted, transported, and converted into energy. The second portion of the course turns to the two major sectors of our energy economy--electricity and transportation--and the full range of federal and state regulation of each sector. The third portion of the course explores case studies of hot topics in energy law and policy that highlight the complex transitions taking place in the energy system. These topics include electric grid modernization, electric vehicles, risks and benefits associated with hydraulic fracturing and deepwater drilling for oil and gas, the development of offshore wind energy, and the continued role of nuclear energy. In addition to traditional textbook reading and class discussion, the course will include industry, government, and nonprofit guest speaker presentations. Grading will be based on a final exam given at the end of the semester as well as class discussion and weekly written postings on Canvas for the course.

MGMT 6033 - Strategy Implementation

Credits:	2.0 [max 2.0]
Grading Basis:	A-F only
Typically offered:	Periodic Fall & Spring

This course focuses on strategy execution at both the organizational and functional levels. Specific topics include the relationships between strategy formulation and execution, and between implementation and change. The course goes into depth on the systemic and structural problems that make most of these efforts difficult and often unsuccessful, along with various methods to minimize these problems. prereq: MBA or Mgmt Sci MBA student

MGMT 6055 - Management of Innovation and Change

Credits:	2.0 [max 2.0]
Course Equivalencies:	Mgmt 6050/Mgmt6055
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

How organizations innovate/change. Focuses on innovation in wide variety of new technologies, products, programs, and services. What paths likely to lead to success/failure. prereq: MBA or Mgmt Sci MBA student

NR 5021 - Statistics for Agricultural and Natural Resource Professionals

Credits:	3.0 [max 3.0]
Course Equivalencies:	AnSc 3011/ESPM 3012/NR 5021/St
Typically offered:	Every Spring

This course is designed for graduate students in the agricultural, environmental, natural resources, and other related programs that require an understanding of statistics and applied quantitative research. Course content focuses on data analysis approaches using common statistical methods, e.g., probability and distributions, simple linear, multiple, and logistic regression, linear models, and analysis of variance. This course is completely online and asynchronous. prereq: College algebra or instructor consent

NR 8100 - Topics in Natural Resources Science and Management

Credits:	1.0 -2.0 [max 2.0]
Grading Basis:	S-N only
Typically offered:	Periodic Fall & Spring

Topics course for NRSM

OLPD 5061 - Ethnographic Research Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall, Spring & Summer

This course introduces students to knowledge and skills appropriate for the conduct of ethnographic research. Underlying purposes, assumptions, and distinctive characteristics of ethnographic methods will be examined as well as appropriate exemplars. Accordingly, the course emphasizes links between research purposes, the conceptualization of ethnographic projects and the development of researchable questions. The course also takes up a variety of ethical and political issues related to working with participants during the research process, as well as contemporary trustworthiness criteria for ethnographic written accounts. The bulk of the course is given to training in observation, generating field notes, developing interview questions, interviewing, collecting material cultural artifacts, using surveys, and analyzing, interpreting, and writing up ethnographic data. The first part of the course focuses on a critical discussion of ethnographic research purposes, epistemological assumptions, and essential features. Students choose and explore a published ethnographic study from their field of interest. The second part of the course is devoted to a very small scale ethnographic project which students design and carry out themselves. This project is supported by relevant readings and in-class activities (including peer review) related to the actual conduct of ethnographic research.

OLPD 5104 - Education and the Sustainable Development Goals

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall, Spring & Summer

This course provides a critical analysis of strategies used to improve educational outcomes worldwide. This course examines contemporary trends in educational policy, development, and practice, focusing on how?s and why?s of educational change. Empirical studies, organizational reports, and student experiences all inform class discussion. prereq: Grad student

OLPD 5501 - Principles and Methods of Evaluation

Credits:	3.0 [max 3.0]
Course Equivalencies:	OLPD 5501/EPsy 5243
Typically offered:	Every Fall, Spring & Summer

Introduction to program evaluation. Planning an evaluation study, collecting and analyzing information, reporting results; evaluation strategies; overview of the field of program evaluation.

OLPD 5611 - Facilitation and Meeting Skills

Credits:	1.0 [max 1.0]
Typically offered:	Every Fall, Spring & Summer

Introduction to the disciplines of planning and running effective meetings. Tools and methods for meeting management and evaluation are presented within the context of organization development.

PA 5002 - Introduction to Policy Analysis

Credits:	1.5 [max 1.5]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Process of public policy analysis from problem structuring to communication of findings. Commonly used analytical methods. Alternative models of analytical problem resolution.

PA 5011 - Dynamics of Public Affairs Organizations

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Critical analysis of organizations in the world of public affairs from multiple levels - including the individual, group, organization, and sector - and the dynamics of relationships among them. Develop actionable recommendations to improve organizational effectiveness in the context of multiple (often contested) prosocial purposes and conflicting stakeholder demands. Memo writing, case analyses, simulations, guest speakers, and self-awareness exercises

PA 5021 - Microeconomics for Policy Analysis

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Introduction to tools useful for public policy. Intermediate microeconomics.

PA 5022 - Applications of Economics for Policy Analysis

Credits:	1.5 -3.0 [max 9.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Application of economic reasoning to a wide range of contemporary public policy issues. The following topically-focused courses also fulfill the MPP economics requirement: PA 5431: Public Policies on Work and Pay, PA 5503: Economics of Development, PA 5521: Development Planning and Policy Analysis, PA 5722: Economics of Natural Resource and Environmental Policy, and PA 5805: Global Economics. prereq: 5021 or equiv

PA 5031 - Statistics for Public Affairs

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.

PA 5041 - Qualitative Methods for Policy Analysts

Credits:	4.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Qualitative analysis techniques, examples of application. Meet with researcher. Hands-on experience in designing, gathering, analyzing data.

PA 5101 - Management and Governance of Nonprofit Organizations

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Theories, concepts, and real world examples of managerial challenges. Governance systems, strategic management practices, effect of funding environments, management of multiple constituencies. Types of nonprofits using economic/behavioral approaches. prereq: Grad student or instr consent

PA 5122 - Law and Public Affairs

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Law and public policy in the United States are in a dialogue with each other. This dynamic is reflected in the differing roles of legislatures and courts, as well as the other institutions (for example, executive agencies that adopt regulations) involved in making law and policy. This course aims to give students an understanding of how law and policy interact in the American context using historical materials and examples from other countries to provide a broader perspective on how the interaction works today. Our exploration will necessarily involve the critical role of the United States Constitution and state constitutions in establishing the parameters for both law and policy. We will also examine particular instances of policy and law interactions on topics such as abortion, civil rights, criminal justice, elections, education and speech. Readings will include judicial opinions, legislation examples, policy and legal articles and other materials. Class time will include guest speakers from the disciplines of law, politics and public affairs, discussion in small and large groups and only an occasional short lecture. Grades will be based on written student reflections on the readings, 2-3 short papers exploring how law and policy apply to particular topics, and a longer research paper that examines the interaction of law and policy on a topic important to the student. Instructors have been legal, political and policy practitioners. Some have served in the state legislature.

PA 5242 - Environmental Planning, Policy, and Decision Making

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Theory and practice. Ethical, legal, and institutional frameworks relative to a range of environmental issues. Innovative environmental decision making informed by collaboration, conflict resolution, adaptive management, and resilience thinking. prereq: Grad or instr consent

PA 5251 - Strategic Planning and Management

Credits:	3.0 [max 3.0]
Grading Basis:	OPT No Aud
Typically offered:	Periodic Fall

Theory and practice of strategic planning and management for public and nonprofit organizations and networks. Strategic planning process, management systems; stakeholder analyses. Tools and techniques such as purpose expansions, SWOT analyses, oval mapping, portfolio analyses, and logic models.

PA 5271 - Geographic Information Systems: Applications in Planning and Policy Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Introduction to GIS. Applications in public planning and policy analysis. Operational skills in GIS software. Mapping analysis of U.S. Census material. Local/state government management/planning. Spatial statistical analysis for policy/planning. prereq: Major in urban/regional planning or instr consent

PA 5311 - Program Evaluation

Credits:	3.0 [max 3.0]
Grading Basis:	A-F only
Typically offered:	Periodic Fall & Spring

This course covers the core principals, methods, and implementation of evaluation research. Students will learn through an applied partnership with a nonprofit or state/local government clients. The course is designed for both students interested in a potential career in evaluation and those that want to be better consumers of research. Past programmatic/policy areas included health and human services, education, environment science, economic development, transportation, and evidence-based policymaking.

PA 5501 - Theories and Policies of Development

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

What makes some countries wealthier than others, one group of people healthier and more educated than another? How does the behavior of rich nations affect poor nations? Origins of development thought, contemporary frameworks and policy debates. Economic, human, and sustainable development. prereq: Grad student or instr consent

PA 5503 - Economics of Development

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Economic growth, inequality, poverty, rural/urban labor markets, risk/insurance. Investments in human capital, credit markets, gender/household economics, governance/institutional issues. Microfinance, conditional cash transfers, labor/education policies. prereq: PA 5501 or concurrent registration is required (or allowed) in PA 5501

PA 5721 - Energy Systems and Policy

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Impact of energy production/consumption choices on environmental quality, sustainable development, and other economic/social goals. Emphasizes public policy choices for energy/environment, linkages between them.

PA 5722 - Economics of Environmental Policy

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Introduction to economic principles and methods as they apply to environmental issues such as climate change, biodiversity conservation, and water quality. Course will cover benefit-cost analysis, methods of environmental valuation, as well as critiques of market-based solutions to environmental challenges.

PA 5741 - Risk, Resilience and Decision Making

Credits:	1.5 [max 3.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Spring

Interplay between risk analysis, decision making, and policy in the context of new and emerging technologies, environmental and human well-being, risk and resilience. Assessment methods; risk management processes, issues and methods; role/treatment of uncertainty; factors in decision making; risk-based rule making; public values; risk communication and perception. Scientific, technical, social, political, and ethical issues. prereq: Grad student or instr consent

PA 5790 - Topics in Science, Technology, and Environmental Policy

Credits:	1.0 -3.0 [max 9.0]
Typically offered:	Periodic Fall & Spring

Selected topics.

PA 5890 - Topics in Foreign Policy and International Affairs

Credits:	0.5 -5.0 [max 15.0]
Typically offered:	Periodic Fall & Spring

Selected topics.

PA 5920 - Skills Workshop

Credits:	0.5 -4.0 [max 48.0]
Typically offered:	Every Fall & Spring

Topics on public policy or planning skills. Topics specified in Class Schedule.

PA 8790 - Advanced Topics in Science, Technology, and Environmental Policy

Credits:	1.0 -3.0 [max 6.0]
Typically offered:	Periodic Fall & Spring

Selected topics.

POL 5315 - State Governments: Laboratories of Democracy

Credits:	3.0 [max 4.0]
Course Equivalencies:	Pol 4315W/Pol 5315
Typically offered:	Every Fall & Spring

State governments are rarely at the forefront of the minds of the American public, but in recent years they have made critical decisions about issues like education, health care, climate change, and same-sex marriage. State governments perform a host of vital services, and they regulate and tax a wide array of business activities. Moreover, the states have adopted a very wide range of approaches in addressing these and other policy issues. This course examines the institutional and political changes that sparked the recent ?resurgence of the states,? and it investigates why state policies differ so dramatically from one another. In addition to playing a central and increasingly important role in the U.S. political system, the American states provide an unusually advantageous venue in which to conduct research about political behavior and policymaking. They are broadly similar in many ways, but they also offer significant variation across a range of social, political, economic, and institutional characteristics that are central to theories about politics. As a result, it becomes possible for scholars to evaluate hypotheses about cause-and-effect relationships in a valid way. This course pursues two related objectives. Its first goal is to give students a better understanding of American state governments? substantive significance. Its second goal is to use the states as an analytical venue in which students can hone their research and writing skills. Students will design and complete an original research paper on an aspect of state politics of their choosing. They will develop a research question, gather and critically evaluate appropriate and relevant evidence, and discuss the implications of their research. prereq: grad student or instr consent

POL 8126 - Qualitative Methods

Credits:	3.0 [max 3.0]
Typically offered:	Fall Even, Spring Odd Year

Qualitative methods in social science. Hands-on training through fieldwork projects. Interviewing, participant observation, narrative interpretation, ethical problems. Issues of gender/race in fieldwork. prereq: Grad student

PSY 5202 - Attitudes and Social Behavior

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Spring

Theory/research on social psychology of beliefs/attitudes. Persuasion principles. prereq: 3201 or instr consent

PSY 5960 - Topics in Psychology

Credits:	1.0 -4.0 [max 8.0]
Typically offered:	Periodic Fall, Spring & Summer

Special course or seminar. Topics listed in Class Schedule. prereq: PSY 1001, [jr or sr or grad student]

PUBH 7250 - Designing and Conducting Focus Group Interviews

Credits:	1.0 [max 1.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Spring & Summer

Interactive, intensive overview of focus group procedures for public/non-profit environments. Practical approaches to determining appropriate use of focus groups. Design options, developing questions, recruiting participants, moderating. Analyzing/reporting results.

PUBH 7407 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Contingency tables, odds ratio, relative risk, chi-square tests, log-linear models, logistic regression, conditional logistic regression, Poisson regression, matching, generalized linear models for independent data. SAS/S-Plus used throughout. prereq: 7405, [Stat 5102 or concurrent registration is required (or allowed) in Stat 5102 or Stat 8102 or concurrent registration is required (or allowed) in Stat 8102]

SOC 5811 - Social Statistics for Graduate Students

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall

In this course, students will learn core statistical and computations principles that will allow them to perform quantitative analyses using social data. The course is designed for social science students at the beginning of their graduate school careers. However, advanced undergraduates can take the course, which will involve a few modifications to the assignment schedule. Sociology 5811 will review basic probability, and then move on to univariate inference, the linear regression model, and introductory lessons of causal inference. In doing so, students will explore statistical concepts and methods that provide the foundation sociologists use to most commonly collect and analyze numerical evidence. Sociology 5811 will also provide the foundation for data management and statistical inference using Stata, a statistical computing environment that is popular in the social sciences. prereq: Undergraduate students are expected to have familiarity with the materials taught in the equivalent of 3811. Students who are unsure of the course requirements should contact the instructor. Undergraduates with a strong math background are encouraged to register for 5811 in lieu of 3811. Soc majors must register A-F. 5811 is a good social statistics foundation course for MA students from other programs. 5811 will not count for credits towards the Soc PhD program requirements.

SOC 8701 - Sociological Theory

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Traditions of social theory basic to sociological knowledge, their reflection and expansion in contemporary theory, their applications in selected areas of empirical research. Sample topics: social inequality, social organization and politics, family organization and social reproduction, social order and change, sociology of knowledge and religion.

SOC 8801 - Sociological Research Methods

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall & Spring

Multiple objectives of social research and how they inform research design. Conceptualization and measurement of complex concepts. Broad issues in research design and quantitative and qualitative approaches to data collection and management. prereq: Grad soc major or instr consent

SOC 8811 - Advanced Social Statistics

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Statistical methods for analyzing social data. Sample topics: advanced multiple regression, logistic regression, limited dependent variable analysis, analysis of variance and covariance, log-linear models, structural equations, and event history analysis. Applications to datasets using computers. prereq: recommend 5811 or equiv; graduate student or instr consent

SOIL 5611 - Soil Biology and Fertility

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 3612W/Soil 5611
Typically offered:	Every Fall

Properties of microorganisms that impact soil fertility, structure, and quality. Nutrient requirements of microbes and plants, and mineral transformations in biogeochemical cycling. Symbiotic plant/microbe associations and their role in sustainable agricultural production. Biodegradation of pollutants and bioremediation approaches. prereq: Biol 1009 or equiv, Chem 1021 or equiv; Soil 2125 recommended

STAT 5021 - Statistical Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall & Spring

Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011

STAT 5201 - Sampling Methodology in Finite Populations

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Simple random, systematic, stratified, unequal probability sampling. Ratio, model based estimation. Single stage, multistage, adaptive cluster sampling. Spatial sampling. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5302 - Applied Regression Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications. prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.

STAT 5303 - Designing Experiments

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Analysis of variance. Multiple comparisons. Variance-stabilizing transformations. Contrasts. Construction/analysis of complete/incomplete block designs. Fractional factorial designs. Confounding split plots. Response surface design. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5401 - Applied Multivariate Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall

Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.

STAT 5421 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Varieties of categorical data, cross-classifications, contingency tables. Tests for independence. Combining 2x2 tables. Multidimensional tables/loglinear models. Maximum-likelihood estimation. Tests for goodness of fit. Logistic regression. Generalized linear/multinomial-response models. prereq: STAT 3022 or 3032 or 3301 or 5302 or 4051 or 8051 or 5102 or 4102

STAT 5601 - Nonparametric Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Order statistics. Classical rank-based procedures (e.g., Wilcoxon, Kruskal-Wallis). Goodness of fit. Topics may include smoothing, bootstrap, and generalized linear models. prereq: Stat classes 3032 or 3022 or 4102 or 5021 or 5102 or instr consent

STAT 8051 - Advanced Regression Techniques: linear, nonlinear and nonparametric methods

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Linear/generalized linear models, modern regression methods including nonparametric regression, generalized additive models, splines/basis function methods, regularization, bootstrap/other resampling-based inference. prereq: Statistics grad or instr consent

STAT 8052 - Applied Statistical Methods 2: Design of Experiments and Mixed -Effects Modeling

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Design experiments/analyze data with fixed effects, random/mixed effects models. ANOVA for factorial designs. Contrasts, multiple comparisons, power/sample size, confounding, fractional factorials. Computer-generated designs. Response surfaces. Multi-level models. Generalized estimating equations (GEE) for longitudinal data with non-normal errors. prereq: 8051 or instr consent

STAT 8053 - Applied Statistical Methods 3: Multivariate Analysis and Advanced Regression

Credits:	3.0 [max 3.0]
Prerequisites:	PhD student in stat or DGS permission and 8052
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Standard multivariate analysis. Multivariate linear model, classification, clustering, principal components, factor analysis, canonical correlation. Topics in advanced regression. prereq: PhD student in stat or DGS permission and 8052

STAT 8054 - Statistical Methods 4: Advanced Statistical Computing

Credits:	3.0 [max 3.0]
Prerequisites:	STAT 8053 or #
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Optimization, numerical integration, Markov chain Monte Carlo, related topics. prereq: STAT 8053 or instr consent

WRIT 5051 - Graduate Research Writing for International Students

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall, Spring & Summer

Graduate research writing emphasizes writing techniques, structures, style, and formal language for scholarly writing including research proposals and abstracts, critiques/reviews, and thesis/dissertations and publications. Special focus on field-specific scholarly expectations, documentation, structure/style, grammar, formal or scholarly vocabulary, and extensive revising/editing based on instructor and mentor feedback to meet graduate standards. Discussions. prereq: Grad student

WRS 5101 - Water Policy

Credits:	3.0 [max 3.0]
Course Equivalencies:	PA 5723/WRS 5101
Typically offered:	Every Spring

Socio-cultural, legal, and economic forces that affect water resource use. Water quality, Clean Water Act contrasted with international laws, roles of State and Local agencies. Water supply, drought, flooding, drainage, irrigation, storage. Sulfide mining, Line 3, hypoxia, wildfire, climate, snowpack, extreme events, China south-to-north transfer, CEC?s, AIS, Aral Sea, CAFOs, and more.

AGRO 5121 - Applied Experimental Design

Credits:	4.0 [max 4.0]
Course Equivalencies:	Agro 5121/Ent 5121
Typically offered:	Every Spring

Principles of sampling methodologies, experimental design, and statistical analyses. Methods/procedures in generating scientific hypotheses. Organizing, initiating, conducting, and analyzing scientific experiments using experimental designs and statistical procedures. prereq: Stat 5021 or equiv or instr consent

APEC 5031 - Methods of Economic Data Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

The course introduces linear statistical economic (econometric) models with and without independent errors. It also introduces econometric models for analyzing discrete response variables, censored response variables, and non-random data samples. It shows how these econometric models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. prereq: APEC 3001, Math 1142 or Math 1272, Stat 3001 or Sco 2550 or grad student or instructor consent

APEC 5032 - Economic Data Analysis for Managerial and Policy Decisions

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

The course covers statistical and econometric methods for the analysis of data to support managerial and policy decisions. It includes methods for organizing, accessing, and ensuring the quality of data. The econometric methods covered by the course are applicable to panel, discrete response, duration, and time series data. prereq: 5031 or instr consent

APEC 8211 - Econometric Analysis I

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are independent and the sample size is large. it shows how linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: ApEc 5031 or equiv OR Ph.D. student OR instr consent

APEC 8212 - Econometric Analysis II

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are dependent because individual units are sampled over regular time intervals (panel data) as well as for other reasons. It shows how these linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: 8211 or equiv or instr consent

BBE 5513 - Watershed Engineering

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Application of engineering principles to managing surface runoff from agricultural, range, and urban watersheds. Design of facilities and selection of land use practices for controlling surface runoff to mitigate problems of flooding and degradation of surface-water quality. prereq: 3023, upper div CSE or grad student

BBE 5523 - Ecological Engineering Design

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4523/BBE 5523
Grading Basis:	A-F only
Typically offered:	Every Spring

Application of ecological engineering to design of remediation systems. Artificial ecosystems, ecosystem/wetland restoration, constructed wetlands, biological engineering for slope stability, waste treatments. Restoring ecological service of watersheds. prereq: Graduate student or instr consent

BBE 5535 - Assessment and Diagnosis of Impaired Waters

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4535/BBE 5533/BBE 5535
Grading Basis:	A-F only
Typically offered:	Every Fall

Assessing impaired waters and developing TMDL for conventional pollutants. Preparing/communicating legal, social and policy aspects. TMDL analysis of real-world impaired waters problem. Field trip to impaired waters site. prereq: Grad student or instr consent

BBE 8013 - Parameter Estimation in Biosystems and Agricultural Engineering

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall & Spring

Procedures for estimating parameter values and parameter uncertainty from experimental data. Values and interpretation of linear and nonlinear models using ordinary and weighted least-square methods. Design of experiments. Application to biosystems and agricultural engineering problems. prereq: Stat 3021 or equiv, computer programming course

BBE 8513 - Hydrologic Modeling of Small Watersheds

Credits:	3.0 [max 3.0]
Prerequisites:	[3012 or CEGE 3502], hydrology course
Typically offered:	Spring Even Year

Study/representation of hydrologic processes by mathematical models. Stochastic meteorological variables, infiltration, overland flow, return flow, evapotranspiration, channel flows. Approaches for model calibration/evaluation. prereq: [3012 or CEGE 3502], hydrology course

CEGE 4501 - Hydrologic Design

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Hydrologic cycle: precipitation, evaporation, infiltration runoff. Flood routing through rivers and reservoirs. Statistical analysis of hydrologic data and estimation of design flows. Open channel flow, flow through conduits. Detention basin design, hydraulic structure sizing, estimation of risk of flooding. prereq: CEGE 3502

CEGE 4512 - Open Channel Hydraulics

Credits:	3.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall & Spring

Theories of flow in open channels, including gradually varied and rapidly varied flows, steady and unsteady flows. Computational methods for unsteady open channel flows, applications to flood routing. Introduction to moveable bed mechanics.

CEGE 5541 - Environmental Water Chemistry

Credits:	3.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Introduction to water chemistry. Physical chemical principles, geochemical processes controlling chemical composition of waters, behavior of contaminants that affect the suitability of water for beneficial uses. prereq: CEGE 3501, Chem 1061, Chem 1062, upper division CSE or grad student or instructor consent

CEGE 8506 - Stochastic Hydrology

Credits:	4.0 [max 4.0]
Prerequisites:	Stat 3021 or equiv or #
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall

Analysis and synthesis of hydrologic series and systems; derived distributions; uncertainty and risk analysis; flood frequency analysis; multivariate time series analysis; correlation and spectral analysis; series of long-range dependence; linear estimation; geostatistics; sampling networks; hydrologic forecasting. prereq: Stat 3021 or equiv or instr consent

CEGE 8511 - Mechanics of Sediment Transport

Credits:	3.0 [max 3.0]
Course Equivalencies:	CE 8511/ESci 8511
Prerequisites:	3502 and 4501 or #
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Particle motion in fluids. Criteria for incipient motion. Formulations for bedload and suspended load. Bedform mechanics and hydraulic resistance relations. Channel stability, aggradation and degradation, alluvial stream morphology. prereq: 3502 and 4501 or instr consent

CEGE 8561 - Analysis and Modeling of Aquatic Environments I

Credits:	3.0 [max 3.0]
Prerequisites:	One sem grad work or #
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Introduction to hydrologic transport and water quality simulation in natural water systems. Deterministic, process-oriented water quality model development. Mixed cell models, advection, turbulent diffusion/dispersion. Chemical/biological kinetics in water quality models. Application of water quality models to management problems. prereq: One sem grad work or instr consent

CEGE 8562 - Analysis and Modeling of Aquatic Environments II

Credits:	3.0 [max 6.0]
Prerequisites:	One sem grad work or #
Typically offered:	Periodic Fall & Spring

Models for transport/transformation of pollutants, nutrients, particulates, ecosystems, etc., from recently completed theses, articles, or research in progress. Students review assigned recent papers, make presentations, and analyze a topic of their choice. prereq: One sem grad work or instr consent

CEGE 8601 - Introduction to Stream Restoration

Credits:	3.0 [max 3.0]
Course Equivalencies:	CEGE 8601/EEB 8601/ESci 8601
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall

Background material required to participate in a stream restoration project. How to assimilate geologic, hydrologic, and ecological data at watershed and reach scales to plan a restoration project and evaluate/critique existing stream restoration projects.

CI 8149 - Qualitative Research: Coding, Analysis, Interpretation, and Writing

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall

How to code/analyze field notes. Individual/group interviews, multimedia using NUDIST NVivo software. Students interpret analyzed material and complete an article length document that includes a review of related research/methodology. prereq: [8133, 8148, grad student, completion of a qualitative research study] or instr consent

DES 8103 - Qualitative Research Methods in Design

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Qualitative Research Methods in Design provides an overview of qualitative research methods in design research. This course reviews a series of qualitative research inquiries (grounded theory, ethnographic research, case studies), data collection (interview, observation, focus groups), and analysis methods (coding). This course discusses how these methodologies and methods are applied to graduate-level research in different design contexts.

EEB 5053 - Ecology: Theory and Concepts

Credits:	4.0 [max 4.0]
Typically offered:	Fall Odd Year

Classical and modern mathematical theories of population growth, interspecific interactions, ecosystem dynamics and functioning, with emphasis on underlying assumptions and on effects of added biological reality on robustness of predictions, stability, interspecific interactions, ecosystem structure and functioning. prereq: Biol 3407 or instr consent

EEB 5601 - Limnology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Advanced introduction to description/analysis of interaction of physical, chemical, and biological factors that control functioning of life in lakes and other freshwater aquatic environments. prereq: Grad student or instr consent

EEB 5609 - Ecosystem Ecology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Regulation of energy and elements cycling through ecosystems. Dependence of cycles on kinds/numbers of species within ecosystems. Effects of human-induced global changes on functioning of ecosystems.

EEB 8601 - Introduction to Stream Restoration

Credits:	3.0 [max 3.0]
Course Equivalencies:	CEGE 8601/EEB 8601/ESci 8601
Typically offered:	Fall Even Year

Science/policy behind stream restoration. How to evaluating/critiquing a stream restoration project. Assimilate geomorphic, hydrologic, and ecological data at watershed and reach scales to plan a restoration project. Developing a monitoring/assessment program for an existing or future restoration project. prereq: Grad student in [CE or GEO or EEB or WRS or FW or BAE or FR or HORT or ENR or LA or SRSE] or instr consent

EEB 8602 - Stream Restoration Practice

Credits:	2.0 [max 2.0]
Course Equivalencies:	CEGE 8602/EEB 8602/ESci 8602
Grading Basis:	S-N only
Typically offered:	Fall Odd Year

Field experience, group design project. Students provide a stream restoration context for each other's elective coursework, complete critical assessments of stream restoration projects, and design a stream restoration site. prereq: CE 8601 or GEO 8601

EPSY 5221 - Principles of Educational and Psychological Measurement

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Concepts, principles, and methods in educational/psychological measurement. Reliability, validity, item analysis, scores, score reports (e.g., grades). Modern measurement theories, including item response theory and generalizability theory. Emphasizes construction, interpretation, use, and evaluation of assessments regarding achievement, aptitude, interests, attitudes, personality, and exceptionality.

EPSY 5244 - Survey Design, Sampling, and Implementation

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Survey methods, including mail, phone, and Web-based/e-mail surveys. Principles of measurement, constructing questions/forms, pilot testing, sampling, data analysis, reporting. Students develop a survey proposal and a draft survey, pilot the survey, and develop sampling/data analysis plans. prereq: [5221 or 5231 or 5261 or equiv], [CEHD grad student or MEd student]

EPSY 5247 - Qualitative Methods in Educational Psychology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Introduction to qualitative methods of inquiry. Contrasting different research traditions (e.g., case study, phenomenology, ethnography, social interactionism, critical theory). Practice with field notes, observations, and interviewing. Use of NVIVO to track/code data. prereq: Graduate student or Applied Psychology in Educational and Community Settings Minor

EPSY 5261 - Introductory Statistical Methods

Credits:	3.0 [max 3.0]
Course Equivalencies:	EPsy 3264/5231/5261/5263
Typically offered:	Every Fall, Spring & Summer

EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.

EPSY 5262 - Intermediate Statistical Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Application of statistical concepts/procedures. Analysis of variance, covariance, multiple regression. Experimental design: completely randomized, block, split plot/repeated measures. prereq: 3264 or 5261 or equiv

EPSY 8266 - Statistical Analysis Using Structural Equation Methods

Credits:	3.0 [max 3.0]
Prerequisites:	8265, [8252 or equiv]
Typically offered:	Periodic Spring

Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]

ESCI 4401 - Aqueous Environmental Geochemistry

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESci 4401/ESci 8401
Typically offered:	Periodic Spring

General principles of solution chemistry applied to geology. Solution-mineral equilibria. Redox processes in natural waters. Geochemistry of hydrothermal fluids. Environmental geochemistry.

ESCI 4702 - General Hydrogeology

Credits:	4.0 [max 4.0]
Typically offered:	Every Spring

Theory of groundwater geology, hydrologic cycle, watershed hydrology, Darcy's law, governing equations of groundwater motion, flow net analysis, analog models, groundwater resource evaluation/development. Applied analysis of steady and transient equations of groundwater motion and chemical transport. Chemistry of natural waters. prereq: [concurrent registration is required (or allowed) in CHEM 1062, concurrent registration is required (or allowed) in CHEM 1066, MATH 1271, PHYS 1201] or instr consent

ESCI 4703 - Glacial Geology

Credits:	4.0 [max 4.0]
Typically offered:	Fall Odd Year

Formation and characteristics of modern glaciers; erosional and depositional features of Pleistocene glaciers; history of quaternary environmental changes in glaciated and nonglaciated areas. Field trips and labs. prereq: 1001 or instr consent

ESPM 4216 - Contaminant Hydrology

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Principles of contaminant transport in percolate solution and in overland flow. Hydrologic cycle, percolation/runoff processes, contaminant transport, leachate sampling methods, remediation technologies, scale effects on runoff water quality, tillage technologies, control of sediment/chemical losses. Discussions mostly descriptive, but involve some computations.

ESPM 5061 - Water Quality and Natural Resources

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Recent literature in field. Complements 4061. Ecology of aquatic ecosystems, how they are valuable to society and changed by landscape management. Case studies, impaired waters, TMDL process, student engagement in simulating water quality decision making.

ESPM 5071 - Ecological Restoration

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 5071/Hort 5071
Typically offered:	Every Fall

Each ecosystem restoration is the product of a myriad of decisions made in response to existing site conditions (biotic and abiotic), anticipated effects from the surrounding landscape, predictions about future events, logistical realities, and, of course, desired conditions. During this course, you will learn about the ecological and social factors that affect ecosystem recovery and how people intervene to reverse ecosystem degradation. The course includes examples from ecosystems around the world, with emphasis on those found in the Midwestern US. Field trips. PREREQUISITES: This course presumes previous courses in basic ecology and plant science.

ESPM 5111 - Hydrology and Water Quality Field Methods

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3111/ESPM 5111
Prerequisites:	Grad student or #
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Integrates water quality, surface/groundwater hydrology. Case studies, hands-on field data collection, calculations of hydrological/water quality parameters. Meteorological data, snow hydrology, stream gauging, well monitoring, automatic water samplers. Designing water quality sampling program. Geomorphology, interception, infiltration. prereq: Grad student or instr consent

ESPM 5211 - Survey, Measurement, and Modeling for Environmental Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3211/ESPM 5211
Typically offered:	Every Spring

Survey, measurement, and modeling concepts/methods for study of natural resources/environmental issues. Emphasizes survey design for data collection, estimation, and analysis for issues encompassing land, water, air, vegetation, wildlife, and human/social variables.

ESPM 5241 - Natural Resource and Environmental Policy

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3241W/ESPM 5241
Typically offered:	Every Spring

Political processes at play in management of environment and how disagreements are addressed by different stakeholders, private-sector interests, government agencies and institutions, communities, and nonprofit organizations. prereq: Grad student or instr consent

ESPM 5242 - Methods for Environmental and Natural Resource Policy Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 4242/ESPM 5242
Grading Basis:	A-F only
Typically offered:	Fall Even Year

Methods, formal and informal, for analyzing environmental and natural resource policies. How to critically evaluate policies, using economic and non-economic decision-making criteria. Application of policy analysis principles/concepts to environmental/natural resource problems. Recognizing politically-charged environment in which decisions over use, management, and protection of these resources often occur. prereq: grad student

ESPM 5261 - Economics and Natural Resources Management

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 3261/ESPM 5261
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Microeconomic principles and their application to natural resource management problems. Economic and policy tools to address market failures. Discussion of regulatory and market-based instruments. Discounting and compounding concepts. Methods for conducting financial and economic analyses of natural resource management projects. Decision criteria when conducting benefit/cost analysis of natural resource projects. Methods for valuing non-market natural resource goods and services. Economics of managing renewable natural resources such as forests and fisheries. Land economics. Payments for environmental services. Planning and management problems. Case studies.

ESPM 5295 - GIS in Environmental Science and Management

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Application of geographic information science and technologies (GIS) in complex environmental problems. Students gain experience in spatial data collection, database development, and spatial analysis, including GNSS and field attribute collection, image interpretation, and existing data fusion, raster/vector data integration and analysis, information extraction from LiDAR data, DEM conditioning and hydrologic analysis, neighborhood analysis, bulk processing and automation, and scripting. Problems vary depending on topics, often with extra-University partners. *Please note that students should have completed a semester-long, introductory lab/lecture GIS course at the graduate or undergraduate level before enrolling in this course, e.g., FNRM 5131. We do not require any given course because students come from varied universities and backgrounds. That said, we assume a knowledge commensurate with a comprehensive introductory course. Students seeking a first course are directed to FNRM 5131. If you have questions regarding your capabilities, please contact the instructor prior to enrolling.

ESPM 5402 - Biometeorology

Credits:	3.0 [max 3.0]
Typically offered:	Fall Even Year

This course examines the interactions between the atmosphere and the Earth�s surface. We will discuss the principles of the surface energy and radiation balance, air motion in the atmospheric boundary layer, land surface parameterization for climate models, boundary layer budgets, and field research methods. The course aims to achieve exemplary learning through hands-on activities and examining recent field studies conducted in natural and managed ecosystems. prereq: MATH 1271, PHYS 1201, STAT 3011, [instr consent]

ESPM 5555 - Wetland Soils

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 5555/Soil 5555
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Morphology, chemistry, hydrology, formation of mineral/organic soils in wet environments. Soil morphological indicators of wet conditions, field techniques of identifying hydric soils for wetland delineations. Peatlands. Wetland benefits, preservation, regulation, mitigation. Field trips, lab, field hydric soil delineation project. prereq: SOIL 1125 or 2125 or equiv or instr consent; concurrent registration is required (or allowed) in SOIL 4511 recommended

ESPM 5575 - Wetlands

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3575/ESPM 5575
Typically offered:	Every Spring

Freshwater wetland classification, wetland biota, current/historic status of wetlands, value of wetlands. National, regional, Minnesota wetlands conservation strategies. Ecological principles used in wetland management. prereq: 3575, [sr or grad student or instr consent]

ESPM 5603 - Environmental Life Cycle Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3603/ESPM 5603
Grading Basis:	A-F only
Typically offered:	Every Fall

Concepts, major issues relating to inventory and subsequent analysis of production systems. Production system from holistic point of view, using term commonly used in industrial ecology: "the metabolic system." prereq: [Math 1142 or [Math 1271, Math 1282]], [Econ 1101 or ApEc 1101]

ESPM 5811 - Environmental Interpretation

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 4811/ESPM 5811
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

This course is designed to be an introduction to the broad field of Environmental Interpretation, Communication Theory, Visitor Information Services (VIS), and Nonformal Education experience's found in parks, nature centers, camps, zoos, museums, arboretums, and free-choice learning environments. Students will understand the definitions, role and scope of interpretation, differences between audiences and/or users of interpretive services, and distinguish between interpretive techniques based on their advantages/disadvantages. Students can also qualify for the National Association for Interpretation's (NAI) Certified Interpretive Guide (CIG) program.

FNRM 5114 - Hydrology and Watershed Management

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3114/FNRM 5114
Typically offered:	Every Fall

Hydrologic cycle and water processes in upland/riparian systems. Applications of hydrological concepts to evaluate impacts of forest and land management activities on water yield, streamflow, groundwater erosion, sedimentation, and water quality. Concepts, principles, and applications of riparian/watershed management. Regional/national/global examples. Forest ecosystems.

FNRM 5131 - Geographical Information Systems (GIS) for Natural Resources

Credits:	4.0 [max 4.0]
Course Equivalencies:	FNRM 3131/FNRM 5131/FR 3131/
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Geographic information systems (GIS), focusing on spatial data development and analysis in the science and management of natural resources. Basic data structures, sources, collection, and quality; geodesy and map projections; spatial and tabular data analyses; digital elevation data and terrain analyses; cartographic modeling and layout. Lab exercises provide practical experiences complementing theory covered in lecture. prereq: Grad student or instr consent

FNRM 5153 - Forest Hydrology & Watershed Biogeochemistry

Credits:	3.0 [max 3.0]
Typically offered:	Spring Odd Year

This rigorous course examines hydrology and biogeochemical cycling in forested watersheds. Topics include role of forests in hydrologic processes (precipitation, runoff generation, and streamflow) and exports (sediment, carbon, and nitrogen). Readings from primary literature, active discussion participation, research/review paper. prereq: [Basic hydrology course, one course in ecology, and one course in chemistry [upper div or grad student]] or instr consent

FNRM 8101 - Research Problems: Physiological Ecology

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8102 - Research Problems: Forest-Tree Genetics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8103 - Research Problems: Forest Hydrology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8104 - Research Problems: Forest Ecology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8105 - Research Problems: Silviculture

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8106 - Research Problems: Urban Forestry--Biology and Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8201 - Research Problems: Forest Economics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8202 - Research Problems: Forest Biometry and Measurements

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8203 - Research Problems: Forest Recreation

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8204 - Research Problems: Forest Policy

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8205 - Research Problems: Spatial Data Analysis

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8206 - Research Problems: Forest Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8207 - Economic Analysis of Natural Resource Projects

Credits:	1.0 -5.0 [max 5.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8208 - Research Problems: Environmental Learning and Leadership

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FW 8051 - Statistical Modeling of Ecological Data using R and WinBugs/JAGS

Credits:	4.0 [max 4.0]
Prerequisites:	Graduate-level statistics class, [working knowledge of program R or #]
Typically offered:	Every Spring

Regression methods for modeling ecological data. Real world examples from ecology, as well as environmental/natural resource sciences/management. Computer-based solutions using R/Bayesian modeling software. prereq: Graduate-level statistics class, [working knowledge of program R or instr consent]

GEOG 8260 - Seminar: Physical Geography

Credits:	2.0 [max 3.0]
Typically offered:	Every Spring

Topics of contemporary research. Topics vary with interests of faculty offering course.

GIS 5555 - Basic Spatial Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

How to use spatial data to answer questions on a wide array of social, natural, and information science issues. Exploratory data analysis/visualization. Spatial autocorrelation analysis/regression. prereq: [STAT 3001 or equiv, MGIS student] or instr consent

GIS 5577 - Spatial Database Design and Administration

Credits:	3.0 [max 1.0]
Typically offered:	Every Spring

This semi-synchronous online graduate level course is aimed at students who have a foundation in GIS and spatial analysis methods and applications, and are interested in expanding their knowledge into the area spatial database design and spatial analysis. The course covers the following topics: 1) SQL and spatial-SQL queries, database design, and ArcServer Administration. This is an applied course and the objective is to introduce the fundamentals of databases, learn about how spatial data is treated into databases and apply spatial analysis methods. Students taking the class will have moderate to advanced understanding of GIS classes, but do not have much exposure to databases.

GRAD 8101 - Teaching in Higher Education

Credits:	3.0 [max 3.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Fall, Spring & Summer

Teaching methods/techniques. Active learning, critical thinking, practice teaching, and preparing a portfolio to document/reflect upon teaching. Readings, discussion, peer teaching, e-mail dialog, reflective writing, co-facilitation of course. prereq: Non-Degree Students: contact pffcollege consentumn.edu with questions about registration. If adding a section after first class meeting, contact your instructor as soon as you enroll.

GRAD 8200 - Teaching and Learning Topics in Higher Education

Credits:	1.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Create course materials for context/discipline. Assess student learning. Write action plan. Topics may include active learning in sciences, teaching with technology, multicultural education, teaching in clinical settings, learning-community course design.

LAAS 5311 - Soil Chemistry and Mineralogy

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Structural chemistry, origin/identification of crystalline soil clay minerals. Structure of soil organic matter. Chemical processes in soil: solubility, adsorption/desorption, ion exchange, oxidation/reduction, acidity, alkalinity. Solution of problems related to environmental degradation, plant nutrition, and soil genesis. prereq: [[Chem 1022 or equiv], Phys 1102, grad] or instr consent

NR 5021 - Statistics for Agricultural and Natural Resource Professionals

Credits:	3.0 [max 3.0]
Course Equivalencies:	AnSc 3011/ESPM 3012/NR 5021/St
Typically offered:	Every Spring

This course is designed for graduate students in the agricultural, environmental, natural resources, and other related programs that require an understanding of statistics and applied quantitative research. Course content focuses on data analysis approaches using common statistical methods, e.g., probability and distributions, simple linear, multiple, and logistic regression, linear models, and analysis of variance. This course is completely online and asynchronous. prereq: College algebra or instructor consent

NR 8100 - Topics in Natural Resources Science and Management

Credits:	1.0 -2.0 [max 2.0]
Grading Basis:	S-N only
Typically offered:	Periodic Fall & Spring

Topics course for NRSM

OLPD 5061 - Ethnographic Research Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall, Spring & Summer

This course introduces students to knowledge and skills appropriate for the conduct of ethnographic research. Underlying purposes, assumptions, and distinctive characteristics of ethnographic methods will be examined as well as appropriate exemplars. Accordingly, the course emphasizes links between research purposes, the conceptualization of ethnographic projects and the development of researchable questions. The course also takes up a variety of ethical and political issues related to working with participants during the research process, as well as contemporary trustworthiness criteria for ethnographic written accounts. The bulk of the course is given to training in observation, generating field notes, developing interview questions, interviewing, collecting material cultural artifacts, using surveys, and analyzing, interpreting, and writing up ethnographic data. The first part of the course focuses on a critical discussion of ethnographic research purposes, epistemological assumptions, and essential features. Students choose and explore a published ethnographic study from their field of interest. The second part of the course is devoted to a very small scale ethnographic project which students design and carry out themselves. This project is supported by relevant readings and in-class activities (including peer review) related to the actual conduct of ethnographic research.

PA 5002 - Introduction to Policy Analysis

Credits:	1.5 [max 1.5]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Process of public policy analysis from problem structuring to communication of findings. Commonly used analytical methods. Alternative models of analytical problem resolution.

PA 5031 - Statistics for Public Affairs

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.

PA 5041 - Qualitative Methods for Policy Analysts

Credits:	4.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Qualitative analysis techniques, examples of application. Meet with researcher. Hands-on experience in designing, gathering, analyzing data.

PA 5920 - Skills Workshop

Credits:	0.5 -4.0 [max 48.0]
Typically offered:	Every Fall & Spring

Topics on public policy or planning skills. Topics specified in Class Schedule.

POL 8126 - Qualitative Methods

Credits:	3.0 [max 3.0]
Typically offered:	Fall Even, Spring Odd Year

Qualitative methods in social science. Hands-on training through fieldwork projects. Interviewing, participant observation, narrative interpretation, ethical problems. Issues of gender/race in fieldwork. prereq: Grad student

PUBH 6190 - Environmental Chemistry

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Overview air, water, and soil chemistry. Pertinent environmental problems. Human/ecological multimedia exposures to chemicals in the environment. prereq: One course each in [gen chem, org chem] or instr consent

PUBH 7250 - Designing and Conducting Focus Group Interviews

Credits:	1.0 [max 1.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Spring & Summer

Interactive, intensive overview of focus group procedures for public/non-profit environments. Practical approaches to determining appropriate use of focus groups. Design options, developing questions, recruiting participants, moderating. Analyzing/reporting results.

PUBH 7407 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Contingency tables, odds ratio, relative risk, chi-square tests, log-linear models, logistic regression, conditional logistic regression, Poisson regression, matching, generalized linear models for independent data. SAS/S-Plus used throughout. prereq: 7405, [Stat 5102 or concurrent registration is required (or allowed) in Stat 5102 or Stat 8102 or concurrent registration is required (or allowed) in Stat 8102]

SOC 5811 - Social Statistics for Graduate Students

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall

In this course, students will learn core statistical and computations principles that will allow them to perform quantitative analyses using social data. The course is designed for social science students at the beginning of their graduate school careers. However, advanced undergraduates can take the course, which will involve a few modifications to the assignment schedule. Sociology 5811 will review basic probability, and then move on to univariate inference, the linear regression model, and introductory lessons of causal inference. In doing so, students will explore statistical concepts and methods that provide the foundation sociologists use to most commonly collect and analyze numerical evidence. Sociology 5811 will also provide the foundation for data management and statistical inference using Stata, a statistical computing environment that is popular in the social sciences. prereq: Undergraduate students are expected to have familiarity with the materials taught in the equivalent of 3811. Students who are unsure of the course requirements should contact the instructor. Undergraduates with a strong math background are encouraged to register for 5811 in lieu of 3811. Soc majors must register A-F. 5811 is a good social statistics foundation course for MA students from other programs. 5811 will not count for credits towards the Soc PhD program requirements.

SOC 8801 - Sociological Research Methods

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall & Spring

Multiple objectives of social research and how they inform research design. Conceptualization and measurement of complex concepts. Broad issues in research design and quantitative and qualitative approaches to data collection and management. prereq: Grad soc major or instr consent

SOC 8811 - Advanced Social Statistics

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Statistical methods for analyzing social data. Sample topics: advanced multiple regression, logistic regression, limited dependent variable analysis, analysis of variance and covariance, log-linear models, structural equations, and event history analysis. Applications to datasets using computers. prereq: recommend 5811 or equiv; graduate student or instr consent

SOIL 5232 - Vadose Zone Hydrology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Basic soil physical properties/processes governing transport of mass/energy in soils. Emphasizes water/solute transport through unsaturated root/vadose zones, their impact on subsurface hydrology and on water quality. Lectures, hands-on laboratory exercises, discussion of real world problems, problem solving. prereq: [Math 1271 or equiv], [Phys 1042 or equiv]

STAT 5021 - Statistical Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall & Spring

Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011

STAT 5201 - Sampling Methodology in Finite Populations

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Simple random, systematic, stratified, unequal probability sampling. Ratio, model based estimation. Single stage, multistage, adaptive cluster sampling. Spatial sampling. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5302 - Applied Regression Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications. prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.

STAT 5303 - Designing Experiments

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Analysis of variance. Multiple comparisons. Variance-stabilizing transformations. Contrasts. Construction/analysis of complete/incomplete block designs. Fractional factorial designs. Confounding split plots. Response surface design. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5401 - Applied Multivariate Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall

Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.

STAT 5421 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Varieties of categorical data, cross-classifications, contingency tables. Tests for independence. Combining 2x2 tables. Multidimensional tables/loglinear models. Maximum-likelihood estimation. Tests for goodness of fit. Logistic regression. Generalized linear/multinomial-response models. prereq: STAT 3022 or 3032 or 3301 or 5302 or 4051 or 8051 or 5102 or 4102

STAT 5601 - Nonparametric Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Order statistics. Classical rank-based procedures (e.g., Wilcoxon, Kruskal-Wallis). Goodness of fit. Topics may include smoothing, bootstrap, and generalized linear models. prereq: Stat classes 3032 or 3022 or 4102 or 5021 or 5102 or instr consent

STAT 8051 - Advanced Regression Techniques: linear, nonlinear and nonparametric methods

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Linear/generalized linear models, modern regression methods including nonparametric regression, generalized additive models, splines/basis function methods, regularization, bootstrap/other resampling-based inference. prereq: Statistics grad or instr consent

STAT 8052 - Applied Statistical Methods 2: Design of Experiments and Mixed -Effects Modeling

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Design experiments/analyze data with fixed effects, random/mixed effects models. ANOVA for factorial designs. Contrasts, multiple comparisons, power/sample size, confounding, fractional factorials. Computer-generated designs. Response surfaces. Multi-level models. Generalized estimating equations (GEE) for longitudinal data with non-normal errors. prereq: 8051 or instr consent

STAT 8053 - Applied Statistical Methods 3: Multivariate Analysis and Advanced Regression

Credits:	3.0 [max 3.0]
Prerequisites:	PhD student in stat or DGS permission and 8052
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Standard multivariate analysis. Multivariate linear model, classification, clustering, principal components, factor analysis, canonical correlation. Topics in advanced regression. prereq: PhD student in stat or DGS permission and 8052

STAT 8054 - Statistical Methods 4: Advanced Statistical Computing

Credits:	3.0 [max 3.0]
Prerequisites:	STAT 8053 or #
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Optimization, numerical integration, Markov chain Monte Carlo, related topics. prereq: STAT 8053 or instr consent

WRIT 5051 - Graduate Research Writing for International Students

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall, Spring & Summer

Graduate research writing emphasizes writing techniques, structures, style, and formal language for scholarly writing including research proposals and abstracts, critiques/reviews, and thesis/dissertations and publications. Special focus on field-specific scholarly expectations, documentation, structure/style, grammar, formal or scholarly vocabulary, and extensive revising/editing based on instructor and mentor feedback to meet graduate standards. Discussions. prereq: Grad student

WRS 5101 - Water Policy

Credits:	3.0 [max 3.0]
Course Equivalencies:	PA 5723/WRS 5101
Typically offered:	Every Spring

Socio-cultural, legal, and economic forces that affect water resource use. Water quality, Clean Water Act contrasted with international laws, roles of State and Local agencies. Water supply, drought, flooding, drainage, irrigation, storage. Sulfide mining, Line 3, hypoxia, wildfire, climate, snowpack, extreme events, China south-to-north transfer, CEC?s, AIS, Aral Sea, CAFOs, and more.

AGRO 5121 - Applied Experimental Design

Credits:	4.0 [max 4.0]
Course Equivalencies:	Agro 5121/Ent 5121
Typically offered:	Every Spring

Principles of sampling methodologies, experimental design, and statistical analyses. Methods/procedures in generating scientific hypotheses. Organizing, initiating, conducting, and analyzing scientific experiments using experimental designs and statistical procedures. prereq: Stat 5021 or equiv or instr consent

APEC 5031 - Methods of Economic Data Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

The course introduces linear statistical economic (econometric) models with and without independent errors. It also introduces econometric models for analyzing discrete response variables, censored response variables, and non-random data samples. It shows how these econometric models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. prereq: APEC 3001, Math 1142 or Math 1272, Stat 3001 or Sco 2550 or grad student or instructor consent

APEC 5032 - Economic Data Analysis for Managerial and Policy Decisions

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

The course covers statistical and econometric methods for the analysis of data to support managerial and policy decisions. It includes methods for organizing, accessing, and ensuring the quality of data. The econometric methods covered by the course are applicable to panel, discrete response, duration, and time series data. prereq: 5031 or instr consent

APEC 8211 - Econometric Analysis I

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are independent and the sample size is large. it shows how linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: ApEc 5031 or equiv OR Ph.D. student OR instr consent

APEC 8212 - Econometric Analysis II

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are dependent because individual units are sampled over regular time intervals (panel data) as well as for other reasons. It shows how these linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: 8211 or equiv or instr consent

BBE 5001 - Chemistry of Biomass and Biomass Conversion to Fuels and Products

Credits:	4.0 [max 4.0]
Course Equivalencies:	BBE 4001/BBE 5001/Chem 4001
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Chemistry of biomass. Sustainable utilization for biofuels/bioproducts. Bio-based materials, chemicals, energy. Environmental implications. Chemical principles/reactions underlying the structure, properties, processing, and performance of plant materials. prereq: Grad student or instr consent

BBE 5023 - Process Control and Instrumentation

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4023/BBE 5023/CEGE 4416/CE
Typically offered:	Every Fall

Fundamental principles in system dynamics/control. Emphasizes process systems and problems faced by process engineers. prereq: Grad student or instr consent

BBE 5301 - Applied Surface and Colloid Science

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4301/BBE 5301/Chem 4301
Typically offered:	Every Fall

Introduction to surface/colloid science concepts. Surface tension, wetting, adsorption, capillarity. Formation/stability of sols, emulsions, and foams. Water solubility. Partition coefficients of organic species. Properties of both surfactants and water soluble polymers. Focuses on interdisciplinary applications.

BBE 5302 - Biodegradation of Bioproducts

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4302/BBE 5302/BP 4302/5302
Typically offered:	Every Spring

Organisms and their importance to bio-based products: deterioration, control, bioprocesses for benefit. prereq: Grad student or instr consent

BBE 5303 - Introduction to Bio-based Materials Science

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4303/BBE 5303
Typically offered:	Every Spring

Principles of materials science, their application to bio-based materials. Project required. prereq: Grad student or instr consent

BBE 5401 - Bioproducts Separation and Purification Processes

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4401/BBE 5401
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Unit operations of bioproducts engineering/manufacture. Project required. prereq: Grad student or instr consent

BBE 5402 - Bio-based Products Engineering Lab II

Credits:	2.0 [max 2.0]
Course Equivalencies:	BBE 4402/BBE 5402
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Unit operations laboratory exercises in bio-based products engineering/manufacture.

BBE 5403 - Bio-based Products Engineering Lab I

Credits:	2.0 [max 2.0]
Course Equivalencies:	BBE 4403/BBE 5403
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Laboratory exercises in bio-based products engineering. prereq: Grad student or instr consent

BBE 5404 - Biopolymers and Biocomposites Engineering

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4404/BBE 5404
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Structure/properties of biopolymers. Engineering of composites from biopolymers/plant-based materials. prereq: grad student or instr consent

BBE 5608 - Environmental and Industrial Microbiology

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4608/BBE 5608
Grading Basis:	A-F only
Typically offered:	Every Fall

Microbes, including fungi, bacteria, and other small-scale organisms, are the pioneer life of the planet, shaping and maintaining the ecosystem. Microbiology is the discipline that studies the basic biology and fundamental processes of microbes, with the aim of answering and solving the relevant environmental and industrial questions. Microbiology remains a frontier, but has developed significantly in recent years. Growth in this research area is largely due to vast improvements in molecular tools (for example: genome sequencing and editing, microscopes, data analysis) and other biochemical techniques, often driven by interest in emergent applications for these unique organisms. These applications include those related to protecting environmental quality as well as those related to making novel products, including materials, fuels, and chemicals. These also include understanding the roles of microbes in the natural nutrient cycles and other key natural processes. This course is therefore designed to introduce students to the taxonomy, biology and ecology of microbes, and to focus on key applications for which these microbes can be applied. prereq: Graduate Student

BBE 5713 - Biological Process Engineering

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4713/BBE 5713
Grading Basis:	A-F only
Typically offered:	Every Spring

Material/energy balances. Homogeneous reactions of bioprocess engineering and biological systems. Fermentation engineering, reactor design fundamentals. Filtration, centrifugation, separation, absorption, extraction, chromatography. Biorefining. Conversion of biomass into bioenergy, biochemicals, and biomaterials. prereq: [3033, [4013 or concurrent registration is required (or allowed) in 4013], or instr consent

BBE 5733 - Renewable Energy Technologies

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4733/CEGE 4513/ChEn 5551
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Energy security and its environmental, economic and societal impacts. Current and emerging technologies for production and use, characteristics of renewable energy, key methods for efficient production, current and probable future, and impact on sustainable development. prereq: Grad student or instr consent

BBE 8001 - Seminar I

Credits:	1.0 [max 1.0]
Grading Basis:	A-F only
Typically offered:	Every Fall

Presentation/discussions on current research topics, research philosophy/principles, proposal writing, professional presentations.

BBE 8002 - Seminar II

Credits:	1.0 [max 2.0]
Grading Basis:	A-F only
Typically offered:	Every Spring

Organization/critique of seminars on new developments in biosystems and agricultural engineering. prereq: 8001 or concurrent registration is required (or allowed) in 8001 or equiv

BBE 8013 - Parameter Estimation in Biosystems and Agricultural Engineering

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall & Spring

Procedures for estimating parameter values and parameter uncertainty from experimental data. Values and interpretation of linear and nonlinear models using ordinary and weighted least-square methods. Design of experiments. Application to biosystems and agricultural engineering problems. prereq: Stat 3021 or equiv, computer programming course

CHEM 4214 - Polymers

Credits:	3.0 [max 3.0]
Course Equivalencies:	Chem 4214/ChEn 4214/MatS 4214
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Structure/morphology of crystalline/amorphous states. Crystallization kinetics. Vitrification, glass transition. Mechanical properties, failure, permeability, optical/electrical properties, polymer composites, effect of processing. prereq: [MATS 3011, [CHEN 3101 or CHEN 4101 or MATS 4001], [upper div MatS or ChEn or CHEM]] or instr consent

CHEM 4221 - Introduction to Polymer Chemistry

Credits:	3.0 [max 3.0]
Course Equivalencies:	ChEn 8221/MatS 8221/Chem 8221
Typically offered:	Every Fall

Condensation, radical, ionic, emulsion, ring-opening, metal-catalyzed polymerizations. Chain conformation, solution thermodynamics, molecular weight characterization, physical properties. prereq: [2302, 4501] or instr consent

CHEM 5210 - Materials Characterization

Credits:	4.0 [max 4.0]
Typically offered:	Every Spring

Modern tools/techniques for both bulk- and thin-film characterization. Topics may include ion-solid interactions, Rutherford back scattering, secondary ion mass spectrometry, solid-state NMR, x-ray photoelectron spectroscopy, small-angle x-ray/neutron scattering, transmission/scanning electron/probe microscopy, near-field scanning optical microscopy, porosimetry, adsorption techniques, and ellipsometry. prereq: grad student or instr consent

CI 8149 - Qualitative Research: Coding, Analysis, Interpretation, and Writing

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall

How to code/analyze field notes. Individual/group interviews, multimedia using NUDIST NVivo software. Students interpret analyzed material and complete an article length document that includes a review of related research/methodology. prereq: [8133, 8148, grad student, completion of a qualitative research study] or instr consent

DES 8103 - Qualitative Research Methods in Design

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Qualitative Research Methods in Design provides an overview of qualitative research methods in design research. This course reviews a series of qualitative research inquiries (grounded theory, ethnographic research, case studies), data collection (interview, observation, focus groups), and analysis methods (coding). This course discusses how these methodologies and methods are applied to graduate-level research in different design contexts.

ENTR 6041 - Initiating New Product Design and Business Development

Credits:	4.0 [max 10.0]
Course Equivalencies:	BMEn 8401/Entr 6041/PDes 8221
Grading Basis:	A-F only
Typically offered:	Every Fall

In this course students work on product development projects sponsored by client companies and/or entrepreneurs. Projects run all year, but students may enroll for either or both terms. Coursework includes a series of assignments concerned with identifying, researching, and specifying the market and technical parameters for a new product. Assignments feed into a series of deliverables that are presented to the client. Market research emphasizes interviews with prospective customers and experts as well as business model development. Technical solutions are developed through rapid prototyping and concept rendering. Project work iterates between attention to market and technical considerations. Fall & Spring terms offer similar content, although project scope narrows in the Spring term. prereq: MBA student or non-MBA with instructor + MBA program permission.

EPSY 5221 - Principles of Educational and Psychological Measurement

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Concepts, principles, and methods in educational/psychological measurement. Reliability, validity, item analysis, scores, score reports (e.g., grades). Modern measurement theories, including item response theory and generalizability theory. Emphasizes construction, interpretation, use, and evaluation of assessments regarding achievement, aptitude, interests, attitudes, personality, and exceptionality.

EPSY 5244 - Survey Design, Sampling, and Implementation

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Survey methods, including mail, phone, and Web-based/e-mail surveys. Principles of measurement, constructing questions/forms, pilot testing, sampling, data analysis, reporting. Students develop a survey proposal and a draft survey, pilot the survey, and develop sampling/data analysis plans. prereq: [5221 or 5231 or 5261 or equiv], [CEHD grad student or MEd student]

EPSY 5247 - Qualitative Methods in Educational Psychology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Introduction to qualitative methods of inquiry. Contrasting different research traditions (e.g., case study, phenomenology, ethnography, social interactionism, critical theory). Practice with field notes, observations, and interviewing. Use of NVIVO to track/code data. prereq: Graduate student or Applied Psychology in Educational and Community Settings Minor

EPSY 5261 - Introductory Statistical Methods

Credits:	3.0 [max 3.0]
Course Equivalencies:	EPsy 3264/5231/5261/5263
Typically offered:	Every Fall, Spring & Summer

EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.

EPSY 5262 - Intermediate Statistical Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Application of statistical concepts/procedures. Analysis of variance, covariance, multiple regression. Experimental design: completely randomized, block, split plot/repeated measures. prereq: 3264 or 5261 or equiv

EPSY 8266 - Statistical Analysis Using Structural Equation Methods

Credits:	3.0 [max 3.0]
Prerequisites:	8265, [8252 or equiv]
Typically offered:	Periodic Spring

Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]

ESPM 5211 - Survey, Measurement, and Modeling for Environmental Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3211/ESPM 5211
Typically offered:	Every Spring

Survey, measurement, and modeling concepts/methods for study of natural resources/environmental issues. Emphasizes survey design for data collection, estimation, and analysis for issues encompassing land, water, air, vegetation, wildlife, and human/social variables.

ESPM 5242 - Methods for Environmental and Natural Resource Policy Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 4242/ESPM 5242
Grading Basis:	A-F only
Typically offered:	Fall Even Year

Methods, formal and informal, for analyzing environmental and natural resource policies. How to critically evaluate policies, using economic and non-economic decision-making criteria. Application of policy analysis principles/concepts to environmental/natural resource problems. Recognizing politically-charged environment in which decisions over use, management, and protection of these resources often occur. prereq: grad student

ESPM 5603 - Environmental Life Cycle Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3603/ESPM 5603
Grading Basis:	A-F only
Typically offered:	Every Fall

Concepts, major issues relating to inventory and subsequent analysis of production systems. Production system from holistic point of view, using term commonly used in industrial ecology: "the metabolic system." prereq: [Math 1142 or [Math 1271, Math 1282]], [Econ 1101 or ApEc 1101]

FNRM 5131 - Geographical Information Systems (GIS) for Natural Resources

Credits:	4.0 [max 4.0]
Course Equivalencies:	FNRM 3131/FNRM 5131/FR 3131/
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Geographic information systems (GIS), focusing on spatial data development and analysis in the science and management of natural resources. Basic data structures, sources, collection, and quality; geodesy and map projections; spatial and tabular data analyses; digital elevation data and terrain analyses; cartographic modeling and layout. Lab exercises provide practical experiences complementing theory covered in lecture. prereq: Grad student or instr consent

FNRM 8101 - Research Problems: Physiological Ecology

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8102 - Research Problems: Forest-Tree Genetics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8103 - Research Problems: Forest Hydrology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8104 - Research Problems: Forest Ecology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8105 - Research Problems: Silviculture

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8106 - Research Problems: Urban Forestry--Biology and Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8201 - Research Problems: Forest Economics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8202 - Research Problems: Forest Biometry and Measurements

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8203 - Research Problems: Forest Recreation

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8204 - Research Problems: Forest Policy

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8205 - Research Problems: Spatial Data Analysis

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8206 - Research Problems: Forest Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8207 - Economic Analysis of Natural Resource Projects

Credits:	1.0 -5.0 [max 5.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8208 - Research Problems: Environmental Learning and Leadership

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

GIS 5555 - Basic Spatial Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

How to use spatial data to answer questions on a wide array of social, natural, and information science issues. Exploratory data analysis/visualization. Spatial autocorrelation analysis/regression. prereq: [STAT 3001 or equiv, MGIS student] or instr consent

GRAD 8101 - Teaching in Higher Education

Credits:	3.0 [max 3.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Fall, Spring & Summer

Teaching methods/techniques. Active learning, critical thinking, practice teaching, and preparing a portfolio to document/reflect upon teaching. Readings, discussion, peer teaching, e-mail dialog, reflective writing, co-facilitation of course. prereq: Non-Degree Students: contact pffcollege consentumn.edu with questions about registration. If adding a section after first class meeting, contact your instructor as soon as you enroll.

GRAD 8200 - Teaching and Learning Topics in Higher Education

Credits:	1.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Create course materials for context/discipline. Assess student learning. Write action plan. Topics may include active learning in sciences, teaching with technology, multicultural education, teaching in clinical settings, learning-community course design.

ME 5228 - Introduction to Finite Element Modeling, Analysis, and Design

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Finite elements as principal analysis tool in computer-aided design (CAD); theoretical issues and implementation aspects for modeling and analyzing engineering problems encompassing stress analysis, heat transfer, and flow problems for linear situations. One-, two-, and three-dimensional practical engineering applications. prereq: CSE upper div or grad, 3221, AEM 3031, CSci 1113, MatS 2001

NR 5021 - Statistics for Agricultural and Natural Resource Professionals

Credits:	3.0 [max 3.0]
Course Equivalencies:	AnSc 3011/ESPM 3012/NR 5021/St
Typically offered:	Every Spring

This course is designed for graduate students in the agricultural, environmental, natural resources, and other related programs that require an understanding of statistics and applied quantitative research. Course content focuses on data analysis approaches using common statistical methods, e.g., probability and distributions, simple linear, multiple, and logistic regression, linear models, and analysis of variance. This course is completely online and asynchronous. prereq: College algebra or instructor consent

NR 8100 - Topics in Natural Resources Science and Management

Credits:	1.0 -2.0 [max 2.0]
Grading Basis:	S-N only
Typically offered:	Periodic Fall & Spring

Topics course for NRSM

OLPD 5061 - Ethnographic Research Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall, Spring & Summer

This course introduces students to knowledge and skills appropriate for the conduct of ethnographic research. Underlying purposes, assumptions, and distinctive characteristics of ethnographic methods will be examined as well as appropriate exemplars. Accordingly, the course emphasizes links between research purposes, the conceptualization of ethnographic projects and the development of researchable questions. The course also takes up a variety of ethical and political issues related to working with participants during the research process, as well as contemporary trustworthiness criteria for ethnographic written accounts. The bulk of the course is given to training in observation, generating field notes, developing interview questions, interviewing, collecting material cultural artifacts, using surveys, and analyzing, interpreting, and writing up ethnographic data. The first part of the course focuses on a critical discussion of ethnographic research purposes, epistemological assumptions, and essential features. Students choose and explore a published ethnographic study from their field of interest. The second part of the course is devoted to a very small scale ethnographic project which students design and carry out themselves. This project is supported by relevant readings and in-class activities (including peer review) related to the actual conduct of ethnographic research.

PA 5002 - Introduction to Policy Analysis

Credits:	1.5 [max 1.5]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Process of public policy analysis from problem structuring to communication of findings. Commonly used analytical methods. Alternative models of analytical problem resolution.

PA 5031 - Statistics for Public Affairs

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.

PA 5041 - Qualitative Methods for Policy Analysts

Credits:	4.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Qualitative analysis techniques, examples of application. Meet with researcher. Hands-on experience in designing, gathering, analyzing data.

PA 5920 - Skills Workshop

Credits:	0.5 -4.0 [max 48.0]
Typically offered:	Every Fall & Spring

Topics on public policy or planning skills. Topics specified in Class Schedule.

POL 8126 - Qualitative Methods

Credits:	3.0 [max 3.0]
Typically offered:	Fall Even, Spring Odd Year

Qualitative methods in social science. Hands-on training through fieldwork projects. Interviewing, participant observation, narrative interpretation, ethical problems. Issues of gender/race in fieldwork. prereq: Grad student

PUBH 7250 - Designing and Conducting Focus Group Interviews

Credits:	1.0 [max 1.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Spring & Summer

Interactive, intensive overview of focus group procedures for public/non-profit environments. Practical approaches to determining appropriate use of focus groups. Design options, developing questions, recruiting participants, moderating. Analyzing/reporting results.

PUBH 7407 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Contingency tables, odds ratio, relative risk, chi-square tests, log-linear models, logistic regression, conditional logistic regression, Poisson regression, matching, generalized linear models for independent data. SAS/S-Plus used throughout. prereq: 7405, [Stat 5102 or concurrent registration is required (or allowed) in Stat 5102 or Stat 8102 or concurrent registration is required (or allowed) in Stat 8102]

SOC 5811 - Social Statistics for Graduate Students

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall

In this course, students will learn core statistical and computations principles that will allow them to perform quantitative analyses using social data. The course is designed for social science students at the beginning of their graduate school careers. However, advanced undergraduates can take the course, which will involve a few modifications to the assignment schedule. Sociology 5811 will review basic probability, and then move on to univariate inference, the linear regression model, and introductory lessons of causal inference. In doing so, students will explore statistical concepts and methods that provide the foundation sociologists use to most commonly collect and analyze numerical evidence. Sociology 5811 will also provide the foundation for data management and statistical inference using Stata, a statistical computing environment that is popular in the social sciences. prereq: Undergraduate students are expected to have familiarity with the materials taught in the equivalent of 3811. Students who are unsure of the course requirements should contact the instructor. Undergraduates with a strong math background are encouraged to register for 5811 in lieu of 3811. Soc majors must register A-F. 5811 is a good social statistics foundation course for MA students from other programs. 5811 will not count for credits towards the Soc PhD program requirements.

SOC 8801 - Sociological Research Methods

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall & Spring

Multiple objectives of social research and how they inform research design. Conceptualization and measurement of complex concepts. Broad issues in research design and quantitative and qualitative approaches to data collection and management. prereq: Grad soc major or instr consent

SOC 8811 - Advanced Social Statistics

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Statistical methods for analyzing social data. Sample topics: advanced multiple regression, logistic regression, limited dependent variable analysis, analysis of variance and covariance, log-linear models, structural equations, and event history analysis. Applications to datasets using computers. prereq: recommend 5811 or equiv; graduate student or instr consent

SSM 5616 - Building Science I: Fundamentals

Credits:	4.0 [max 4.0]
Course Equivalencies:	SSM 4616/SSM 5616
Typically offered:	Fall Even Year

Building science theory, advanced applications for residential buildings. Focuses on heat/mass transfer. prereq: Grad student or instr consent

SSM 5614 - Building Systems Performance: Testing & Diagnostics

Credits:	2.0 [max 2.0]
Course Equivalencies:	SSM 4614/SSM 5614
Typically offered:	Spring Even Year

Theoretical basis for performance testing. Diagnostics applications for residential structures. Focuses on existing structures and retrofit/remedial applications. Digital differential pressure gauges, blower doors, airflow hoods/grids, duct pressure testing, infrared thermography. Hands-on sessions for equipment use, problem solving. prereq: Grad student or instr consent

STAT 5021 - Statistical Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall & Spring

Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011

STAT 5201 - Sampling Methodology in Finite Populations

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Simple random, systematic, stratified, unequal probability sampling. Ratio, model based estimation. Single stage, multistage, adaptive cluster sampling. Spatial sampling. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5302 - Applied Regression Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications. prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.

STAT 5303 - Designing Experiments

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Analysis of variance. Multiple comparisons. Variance-stabilizing transformations. Contrasts. Construction/analysis of complete/incomplete block designs. Fractional factorial designs. Confounding split plots. Response surface design. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5401 - Applied Multivariate Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall

Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.

STAT 5421 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Varieties of categorical data, cross-classifications, contingency tables. Tests for independence. Combining 2x2 tables. Multidimensional tables/loglinear models. Maximum-likelihood estimation. Tests for goodness of fit. Logistic regression. Generalized linear/multinomial-response models. prereq: STAT 3022 or 3032 or 3301 or 5302 or 4051 or 8051 or 5102 or 4102

STAT 5601 - Nonparametric Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Order statistics. Classical rank-based procedures (e.g., Wilcoxon, Kruskal-Wallis). Goodness of fit. Topics may include smoothing, bootstrap, and generalized linear models. prereq: Stat classes 3032 or 3022 or 4102 or 5021 or 5102 or instr consent

STAT 8051 - Advanced Regression Techniques: linear, nonlinear and nonparametric methods

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Linear/generalized linear models, modern regression methods including nonparametric regression, generalized additive models, splines/basis function methods, regularization, bootstrap/other resampling-based inference. prereq: Statistics grad or instr consent

STAT 8052 - Applied Statistical Methods 2: Design of Experiments and Mixed -Effects Modeling

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Design experiments/analyze data with fixed effects, random/mixed effects models. ANOVA for factorial designs. Contrasts, multiple comparisons, power/sample size, confounding, fractional factorials. Computer-generated designs. Response surfaces. Multi-level models. Generalized estimating equations (GEE) for longitudinal data with non-normal errors. prereq: 8051 or instr consent

STAT 8053 - Applied Statistical Methods 3: Multivariate Analysis and Advanced Regression

Credits:	3.0 [max 3.0]
Prerequisites:	PhD student in stat or DGS permission and 8052
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Standard multivariate analysis. Multivariate linear model, classification, clustering, principal components, factor analysis, canonical correlation. Topics in advanced regression. prereq: PhD student in stat or DGS permission and 8052

STAT 8054 - Statistical Methods 4: Advanced Statistical Computing

Credits:	3.0 [max 3.0]
Prerequisites:	STAT 8053 or #
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Optimization, numerical integration, Markov chain Monte Carlo, related topics. prereq: STAT 8053 or instr consent

WRIT 5051 - Graduate Research Writing for International Students

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall, Spring & Summer

Graduate research writing emphasizes writing techniques, structures, style, and formal language for scholarly writing including research proposals and abstracts, critiques/reviews, and thesis/dissertations and publications. Special focus on field-specific scholarly expectations, documentation, structure/style, grammar, formal or scholarly vocabulary, and extensive revising/editing based on instructor and mentor feedback to meet graduate standards. Discussions. prereq: Grad student

AGRO 5121 - Applied Experimental Design

Credits:	4.0 [max 4.0]
Course Equivalencies:	Agro 5121/Ent 5121
Typically offered:	Every Spring

Principles of sampling methodologies, experimental design, and statistical analyses. Methods/procedures in generating scientific hypotheses. Organizing, initiating, conducting, and analyzing scientific experiments using experimental designs and statistical procedures. prereq: Stat 5021 or equiv or instr consent

APEC 5031 - Methods of Economic Data Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

The course introduces linear statistical economic (econometric) models with and without independent errors. It also introduces econometric models for analyzing discrete response variables, censored response variables, and non-random data samples. It shows how these econometric models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. prereq: APEC 3001, Math 1142 or Math 1272, Stat 3001 or Sco 2550 or grad student or instructor consent

APEC 5032 - Economic Data Analysis for Managerial and Policy Decisions

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

The course covers statistical and econometric methods for the analysis of data to support managerial and policy decisions. It includes methods for organizing, accessing, and ensuring the quality of data. The econometric methods covered by the course are applicable to panel, discrete response, duration, and time series data. prereq: 5031 or instr consent

APEC 8211 - Econometric Analysis I

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are independent and the sample size is large. it shows how linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: ApEc 5031 or equiv OR Ph.D. student OR instr consent

APEC 8212 - Econometric Analysis II

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are dependent because individual units are sampled over regular time intervals (panel data) as well as for other reasons. It shows how these linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: 8211 or equiv or instr consent

BBE 5001 - Chemistry of Biomass and Biomass Conversion to Fuels and Products

Credits:	4.0 [max 4.0]
Course Equivalencies:	BBE 4001/BBE 5001/Chem 4001
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Chemistry of biomass. Sustainable utilization for biofuels/bioproducts. Bio-based materials, chemicals, energy. Environmental implications. Chemical principles/reactions underlying the structure, properties, processing, and performance of plant materials. prereq: Grad student or instr consent

BBE 5302 - Biodegradation of Bioproducts

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4302/BBE 5302/BP 4302/5302
Typically offered:	Every Spring

Organisms and their importance to bio-based products: deterioration, control, bioprocesses for benefit. prereq: Grad student or instr consent

BBE 5535 - Assessment and Diagnosis of Impaired Waters

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4535/BBE 5533/BBE 5535
Grading Basis:	A-F only
Typically offered:	Every Fall

Assessing impaired waters and developing TMDL for conventional pollutants. Preparing/communicating legal, social and policy aspects. TMDL analysis of real-world impaired waters problem. Field trip to impaired waters site. prereq: Grad student or instr consent

CI 8149 - Qualitative Research: Coding, Analysis, Interpretation, and Writing

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall

How to code/analyze field notes. Individual/group interviews, multimedia using NUDIST NVivo software. Students interpret analyzed material and complete an article length document that includes a review of related research/methodology. prereq: [8133, 8148, grad student, completion of a qualitative research study] or instr consent

DES 8103 - Qualitative Research Methods in Design

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Qualitative Research Methods in Design provides an overview of qualitative research methods in design research. This course reviews a series of qualitative research inquiries (grounded theory, ethnographic research, case studies), data collection (interview, observation, focus groups), and analysis methods (coding). This course discusses how these methodologies and methods are applied to graduate-level research in different design contexts.

EEB 4609W - Ecosystem Ecology (ENV, WI)

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Regulation of energy and elements cycling through ecosystems. Dependence of cycles on kinds/numbers of species within ecosystems. Effects of human-induced global changes on functioning of ecosystems.

EEB 5068 - Plant Physiological Ecology

Credits:	3.0 [max 3.0]
Course Equivalencies:	EEB 4068/EEB 5068
Grading Basis:	OPT No Aud
Typically offered:	Spring Even Year

Plant function, its plasticity/diversity in ecological context.Impact of environmental stresses on major physiological processes of plants, including photosynthesis, respiration, water uptake/transport, and nutrient uptake/assimilation. Lab, field trip to Cedar Creek. prereq: BIOL 2022 or BIOL 3002 or BIOL 3407 or BIOL 3408W or instr consent

EEB 5609 - Ecosystem Ecology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Regulation of energy and elements cycling through ecosystems. Dependence of cycles on kinds/numbers of species within ecosystems. Effects of human-induced global changes on functioning of ecosystems.

EEB 8200 - Sustainability Science Distributed Graduate Seminar

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Theories of sustainability science. Interactions between human/environmental systems. Improving present/future generations. Presentations/papers. Contemporary research from earth systems science, resource economics, institutional analysis, ecology, geography, development studies, health sciences, engineering.

ENT 4251 - Forest and Shade Tree Entomology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Biology, ecology, population management of forest/shade tree insects. Emphasizes predisposing factors/integrated management. Lecture/lab.

EPSY 5221 - Principles of Educational and Psychological Measurement

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Concepts, principles, and methods in educational/psychological measurement. Reliability, validity, item analysis, scores, score reports (e.g., grades). Modern measurement theories, including item response theory and generalizability theory. Emphasizes construction, interpretation, use, and evaluation of assessments regarding achievement, aptitude, interests, attitudes, personality, and exceptionality.

EPSY 5244 - Survey Design, Sampling, and Implementation

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Survey methods, including mail, phone, and Web-based/e-mail surveys. Principles of measurement, constructing questions/forms, pilot testing, sampling, data analysis, reporting. Students develop a survey proposal and a draft survey, pilot the survey, and develop sampling/data analysis plans. prereq: [5221 or 5231 or 5261 or equiv], [CEHD grad student or MEd student]

EPSY 5247 - Qualitative Methods in Educational Psychology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Introduction to qualitative methods of inquiry. Contrasting different research traditions (e.g., case study, phenomenology, ethnography, social interactionism, critical theory). Practice with field notes, observations, and interviewing. Use of NVIVO to track/code data. prereq: Graduate student or Applied Psychology in Educational and Community Settings Minor

EPSY 5261 - Introductory Statistical Methods

Credits:	3.0 [max 3.0]
Course Equivalencies:	EPsy 3264/5231/5261/5263
Typically offered:	Every Fall, Spring & Summer

EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.

EPSY 5262 - Intermediate Statistical Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Application of statistical concepts/procedures. Analysis of variance, covariance, multiple regression. Experimental design: completely randomized, block, split plot/repeated measures. prereq: 3264 or 5261 or equiv

EPSY 8266 - Statistical Analysis Using Structural Equation Methods

Credits:	3.0 [max 3.0]
Prerequisites:	8265, [8252 or equiv]
Typically offered:	Periodic Spring

Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]

ESPM 5071 - Ecological Restoration

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 5071/Hort 5071
Typically offered:	Every Fall

Each ecosystem restoration is the product of a myriad of decisions made in response to existing site conditions (biotic and abiotic), anticipated effects from the surrounding landscape, predictions about future events, logistical realities, and, of course, desired conditions. During this course, you will learn about the ecological and social factors that affect ecosystem recovery and how people intervene to reverse ecosystem degradation. The course includes examples from ecosystems around the world, with emphasis on those found in the Midwestern US. Field trips. PREREQUISITES: This course presumes previous courses in basic ecology and plant science.

ESPM 5108 - Ecology of Managed Systems

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 3108/ESPM 5108
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Analysis of functioning of ecosystems primarily structured by managed plant communities. Managed forests, field-crop agroecosystems, rangelands, aquatic systems. Structure-function relations. Roles of biodiversity in productivity, resource-use efficiency, nutrient cycling, resilience. Emerging principles for design of sustainable managed ecosystems, provision of ecological services. prereq: Sr or grad student

ESPM 5202 - Environmental Conflict Management, Leadership, and Planning

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3202WESPM /5202
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Negotiation of natural resource management issues. Use of collaborative planning. Case study approach to conflict management, strategic planning, and building leadership qualities. Emphasizes analytical concepts, techniques, and skills.

ESPM 5211 - Survey, Measurement, and Modeling for Environmental Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3211/ESPM 5211
Typically offered:	Every Spring

Survey, measurement, and modeling concepts/methods for study of natural resources/environmental issues. Emphasizes survey design for data collection, estimation, and analysis for issues encompassing land, water, air, vegetation, wildlife, and human/social variables.

ESPM 5242 - Methods for Environmental and Natural Resource Policy Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 4242/ESPM 5242
Grading Basis:	A-F only
Typically offered:	Fall Even Year

Methods, formal and informal, for analyzing environmental and natural resource policies. How to critically evaluate policies, using economic and non-economic decision-making criteria. Application of policy analysis principles/concepts to environmental/natural resource problems. Recognizing politically-charged environment in which decisions over use, management, and protection of these resources often occur. prereq: grad student

ESPM 5256 - Natural Resource Law and the Management of Public Lands and Waters

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 4256/ESPM 5256
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

This course is intended to provide non-law students with an understanding of the role of the judiciary in the management of public lands and public waters. The course will examine Constitutional provisions affecting the management of public resources, the concept of property rights, major principles of water law, the role of the legal system in environmental review, the scope of legal authority granted to administrative agencies, and limitations of private property rights to protect public lands and public waters. The class will introduce students to the concepts of legal reasoning including case synthesis and analysis. The class will be taught using a combination of lecture, guest lectures, written exercises and class participation. prereq: grad student

ESPM 5555 - Wetland Soils

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 5555/Soil 5555
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Morphology, chemistry, hydrology, formation of mineral/organic soils in wet environments. Soil morphological indicators of wet conditions, field techniques of identifying hydric soils for wetland delineations. Peatlands. Wetland benefits, preservation, regulation, mitigation. Field trips, lab, field hydric soil delineation project. prereq: SOIL 1125 or 2125 or equiv or instr consent; concurrent registration is required (or allowed) in SOIL 4511 recommended

ESPM 5603 - Environmental Life Cycle Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3603/ESPM 5603
Grading Basis:	A-F only
Typically offered:	Every Fall

Concepts, major issues relating to inventory and subsequent analysis of production systems. Production system from holistic point of view, using term commonly used in industrial ecology: "the metabolic system." prereq: [Math 1142 or [Math 1271, Math 1282]], [Econ 1101 or ApEc 1101]

FNRM 5104 - Forest Ecology

Credits:	4.0 [max 4.0]
Course Equivalencies:	FNRM 3104/FNRM 5104
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Form and function of forests as ecological systems. Characteristics and dynamics of species, populations, communities, landscapes, and ecosystem processes. Examples applying ecology to forest management. Weekly discussions on research topics, exercises, and current issues in forest resource management. Required weekend field trip. Introductory biology course recommended.

FNRM 5114 - Hydrology and Watershed Management

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3114/FNRM 5114
Typically offered:	Every Fall

Hydrologic cycle and water processes in upland/riparian systems. Applications of hydrological concepts to evaluate impacts of forest and land management activities on water yield, streamflow, groundwater erosion, sedimentation, and water quality. Concepts, principles, and applications of riparian/watershed management. Regional/national/global examples. Forest ecosystems.

FNRM 5131 - Geographical Information Systems (GIS) for Natural Resources

Credits:	4.0 [max 4.0]
Course Equivalencies:	FNRM 3131/FNRM 5131/FR 3131/
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Geographic information systems (GIS), focusing on spatial data development and analysis in the science and management of natural resources. Basic data structures, sources, collection, and quality; geodesy and map projections; spatial and tabular data analyses; digital elevation data and terrain analyses; cartographic modeling and layout. Lab exercises provide practical experiences complementing theory covered in lecture. prereq: Grad student or instr consent

FNRM 5153 - Forest Hydrology & Watershed Biogeochemistry

Credits:	3.0 [max 3.0]
Typically offered:	Spring Odd Year

This rigorous course examines hydrology and biogeochemical cycling in forested watersheds. Topics include role of forests in hydrologic processes (precipitation, runoff generation, and streamflow) and exports (sediment, carbon, and nitrogen). Readings from primary literature, active discussion participation, research/review paper. prereq: [Basic hydrology course, one course in ecology, and one course in chemistry [upper div or grad student]] or instr consent

FNRM 5203 - Forest Fire and Disturbance Ecology

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3203/FNRM 5203
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Ecology, history, management, control of fire, wind, insect infestation, deer browsing, other disturbances in forests, including disturbance regimes of boreal, northern hardwood, savannas of North America. Influence of disturbance on wildlife habitat, urban/wildland interfaces, forest management, stand/landscape dynamics. Tree mortality in fires, successional patterns created by fires, interactions of life history traits of plants with disturbances. prereq: Grad student or instr consent

FNRM 5204 - Landscape Ecology and Management

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3204/FNRM 5204
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Introduction to landscape ecology at different scales in time/space. Development/implications of broad-scale patterns of ecological phenomena, role of disturbance in ecosystems. Characteristic spatial/temporal scales of ecological events. Principles of landscape ecology as framework for landscape research, analysis, conservation, and management. prereq: Grad student or instr consent

FNRM 5218 - Measuring and Modeling Forests

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3218/FNRM 5218
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

General sampling design and survey techniques to assess current resource conditions. Application of metrics/sampling methods to forest vegetation. Calculation of tree/stand volume, selection of modeling approaches. Case studies of modeling to project future growth. Landscape processes, characterization, and modeling.

FNRM 5262 - Remote Sensing and Geospatial Analysis of Natural Resources and Environment

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3262/FNRM 5262
Typically offered:	Every Fall & Spring

Introductory principles and techniques of remote sensing and geospatial analysis applied to mapping and monitoring land and water resources from local to global scales. Examples of applications include: Land cover mapping and change detection, forest and natural resource inventory, water quality monitoring, and global change analysis. The lab provides hands-on experience working with satellite, aircraft, and drone imagery, and image processing methods and software. Prior coursework in Geographic Information Systems and introductory Statistics is recommended. prereq: Grad student or instr consent

FNRM 5264 - Advanced Forest Management Planning

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Modeling tools for forest planning to better integrate forest resource conditions/uses and better understand trade-offs and potential management strategies. Analyzing facets of forest management that add complexity including multi-market interactions, temporal detail, spatial objectives, planning under uncertainty, and recourse strategies. Optimization models, decomposition and heuristic techniques designed to capitalize on characteristics of forestry problems. Case studies involving recent or ongoing large-scale applications. Student projects with opportunity to tailor to student interests or expertise.

FNRM 5411 - Managing Forest Ecosystems: Silviculture

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3411/FNRM 5411
Grading Basis:	A-F only
Typically offered:	Every Fall

Management of forest ecosystems for sustaining ecological integrity, soil productivity, water quality, wildlife habitat, biological diversity, commodity production in landscape context. Silvics, forest dynamics, disturbances, regeneration, restoration, silvicultural systems. Ramifications of management choices. Weekend field trip. FEMC track students should take FNRM 5413 concurrently. prereq: grad student

FNRM 5413 - Managing Forest Ecosystems: Silviculture Lab

Credits:	1.0 [max 1.0]
Grading Basis:	A-F only
Typically offered:	Every Fall

Development of silvicultural prescriptions to achieve various landowner objectives. Timber cruise, growth/yield simulations, stand density management diagrams, thinning schedules, use of forest vegetation simulator. This will include mandatory field trips. prereq: FNRM-FEMC track students should take FNRM 3411/5411 concurrently

FNRM 5501 - Urban Forest Management: Managing Greenspaces for People

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 4501/FNRM 5501
Typically offered:	Every Spring

Management concepts for green infrastructure of cities, towns, and communities. Urban forest as social/biological resource. Emphasizes management of urban forest ecosystem to maximize benefits. Tree selection, risk assessment, cost-benefit analysis, landscape planning, values, perceptions. How urban forestry can be a tool to improve community infrastructure.

FNRM 8101 - Research Problems: Physiological Ecology

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8102 - Research Problems: Forest-Tree Genetics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8103 - Research Problems: Forest Hydrology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8104 - Research Problems: Forest Ecology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8105 - Research Problems: Silviculture

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8106 - Research Problems: Urban Forestry--Biology and Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8201 - Research Problems: Forest Economics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8202 - Research Problems: Forest Biometry and Measurements

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8203 - Research Problems: Forest Recreation

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8204 - Research Problems: Forest Policy

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8205 - Research Problems: Spatial Data Analysis

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8206 - Research Problems: Forest Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8207 - Economic Analysis of Natural Resource Projects

Credits:	1.0 -5.0 [max 5.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8208 - Research Problems: Environmental Learning and Leadership

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FW 5003 - Human Dimensions of Biological Conservation

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Survey of social, psychological, economic, policy aspects of managing/conserving wildlife, fisheries, and related resources. prereq: [Biol 1001 or Biol 1009], Biol 3407

FW 5603W - Habitats and Regulation of Wildlife (WI)

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Environmental interactions of wildlife at population/community levels. Environmental threats from human activities. Habitat management practices. Objectives, policies, regulations in population management. prereq: [FW 4102 or FW 4103], [EEB 3407 or EEB 3408 or EEB 3807]

FW 8051 - Statistical Modeling of Ecological Data using R and WinBugs/JAGS

Credits:	4.0 [max 4.0]
Prerequisites:	Graduate-level statistics class, [working knowledge of program R or #]
Typically offered:	Every Spring

Regression methods for modeling ecological data. Real world examples from ecology, as well as environmental/natural resource sciences/management. Computer-based solutions using R/Bayesian modeling software. prereq: Graduate-level statistics class, [working knowledge of program R or instr consent]

FW 8200 - Seminar

Credits:	1.0 -4.0 [max 16.0]
Grading Basis:	S-N or Aud
Typically offered:	Every Fall & Spring

Oral and written student reports on selected topics from current literature in fisheries biology and management and wildlife. Lectures by and discussions with faculty and visiting specialists.

FW 8452 - Conservation Biology

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Seminar examining population- to system-level biological issues (genetics; demographic processes; community, ecosystem, and landscape scale interaction; restoration ecology; ex situ strategies for restoration and recovery) and societal issues (social, economic, cultural perspectives; sustainable development strategies; roles of institutions; international and U.S. policies).

GEOG 5426 - Climatic Variations

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall

Theories of climatic fluctuations and change at decadal to centuries time scales; analysis of temporal and spatial fluctuations especially during the period of instrumental record. prereq: 1425 or 3401 or instr consent

GEOG 5839 - Introduction to Dendrochronology

Credits:	4.0 [max 4.0]
Course Equivalencies:	Geog 3839/Geog 5839
Typically offered:	Every Fall

Examination of past landscape histories are critical for assessing how environments change and identifying causal mechanisms. Tree-rings, the annual growth rings formed by trees growing in temperate regions, are an instrumental tool for elucidating changes over time. As biological entities, tree-rings are recorders of changes in their surroundings. The application of tree-rings to understand environmental change is called dendrochronology. Dendrochronology has played an important role in understanding past climates, disturbance regimes, and the history of Indigenous peoples (to name just a few applications). Its use has been critical to understanding pressing environmental issues such as 20th century global warming, the impacts of fire suppression on forested landscapes, the loss of the Black Forest in Europe (pollution), and the use/abandonment of archaeological sites (the Anasazi and Ojibwe). It is an exceedingly interesting analytical tool that has unique applications, but it isn?t as simple as counting the rings of trees to determine an age. In this course we will focus on the biology, theoretical principles, and operational techniques of dendrochronology and apply this knowledge toward understanding forest change. By the end of the course students will be able to conduct basic dendrochronological research and appreciate the advantages and limitations of this important tool. My aim is to expose you to the foundational science behind the field, provide you with some simple tools, and introduce you to the variety of applications to which tree-ring analysis can be applied by doing some dendrochronological research. We will apply the tools of dendrochronology toward understanding forest dynamics in a specific landscape to examine fire and tree growth patterns and the influence of climate and people on the forested environment. This course will be a mixture of lecture and hands-on data analysis. The primary approach for this course is the development of a group research project utilizing data that is either collected in the field for a specific purpose or the use of data that is already archived. prereq: [1403, [BIOL 1001 or BIOL 1009 or equiv]] or instr consent

GEOG 8260 - Seminar: Physical Geography

Credits:	2.0 [max 3.0]
Typically offered:	Every Spring

Topics of contemporary research. Topics vary with interests of faculty offering course.

GIS 5555 - Basic Spatial Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

How to use spatial data to answer questions on a wide array of social, natural, and information science issues. Exploratory data analysis/visualization. Spatial autocorrelation analysis/regression. prereq: [STAT 3001 or equiv, MGIS student] or instr consent

GRAD 8101 - Teaching in Higher Education

Credits:	3.0 [max 3.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Fall, Spring & Summer

Teaching methods/techniques. Active learning, critical thinking, practice teaching, and preparing a portfolio to document/reflect upon teaching. Readings, discussion, peer teaching, e-mail dialog, reflective writing, co-facilitation of course. prereq: Non-Degree Students: contact pffcollege consentumn.edu with questions about registration. If adding a section after first class meeting, contact your instructor as soon as you enroll.

GRAD 8200 - Teaching and Learning Topics in Higher Education

Credits:	1.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Create course materials for context/discipline. Assess student learning. Write action plan. Topics may include active learning in sciences, teaching with technology, multicultural education, teaching in clinical settings, learning-community course design.

HORT 5071 - Ecological Restoration

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 5071/Hort 5071
Typically offered:	Every Fall

Each ecosystem restoration is the product of a myriad of decisions made in response to existing site conditions (biotic and abiotic), anticipated effects from the surrounding landscape, predictions about future events, logistical realities, and, of course, desired conditions. During this course, you will learn about the ecological and social factors that affect ecosystem recovery and how people intervene to reverse ecosystem degradation. The course includes examples from ecosystems around the world, with emphasis on those found in the Midwestern US. Field trips. PREREQUISITES: This course presumes previous courses in basic ecology and plant science.

NR 5021 - Statistics for Agricultural and Natural Resource Professionals

Credits:	3.0 [max 3.0]
Course Equivalencies:	AnSc 3011/ESPM 3012/NR 5021/St
Typically offered:	Every Spring

This course is designed for graduate students in the agricultural, environmental, natural resources, and other related programs that require an understanding of statistics and applied quantitative research. Course content focuses on data analysis approaches using common statistical methods, e.g., probability and distributions, simple linear, multiple, and logistic regression, linear models, and analysis of variance. This course is completely online and asynchronous. prereq: College algebra or instructor consent

NR 8100 - Topics in Natural Resources Science and Management

Credits:	1.0 -2.0 [max 2.0]
Grading Basis:	S-N only
Typically offered:	Periodic Fall & Spring

Topics course for NRSM

OLPD 5061 - Ethnographic Research Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall, Spring & Summer

This course introduces students to knowledge and skills appropriate for the conduct of ethnographic research. Underlying purposes, assumptions, and distinctive characteristics of ethnographic methods will be examined as well as appropriate exemplars. Accordingly, the course emphasizes links between research purposes, the conceptualization of ethnographic projects and the development of researchable questions. The course also takes up a variety of ethical and political issues related to working with participants during the research process, as well as contemporary trustworthiness criteria for ethnographic written accounts. The bulk of the course is given to training in observation, generating field notes, developing interview questions, interviewing, collecting material cultural artifacts, using surveys, and analyzing, interpreting, and writing up ethnographic data. The first part of the course focuses on a critical discussion of ethnographic research purposes, epistemological assumptions, and essential features. Students choose and explore a published ethnographic study from their field of interest. The second part of the course is devoted to a very small scale ethnographic project which students design and carry out themselves. This project is supported by relevant readings and in-class activities (including peer review) related to the actual conduct of ethnographic research.

PA 5002 - Introduction to Policy Analysis

Credits:	1.5 [max 1.5]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Process of public policy analysis from problem structuring to communication of findings. Commonly used analytical methods. Alternative models of analytical problem resolution.

PA 5031 - Statistics for Public Affairs

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.

PA 5041 - Qualitative Methods for Policy Analysts

Credits:	4.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Qualitative analysis techniques, examples of application. Meet with researcher. Hands-on experience in designing, gathering, analyzing data.

PA 5920 - Skills Workshop

Credits:	0.5 -4.0 [max 48.0]
Typically offered:	Every Fall & Spring

Topics on public policy or planning skills. Topics specified in Class Schedule.

PLPA 5003 - Diseases of Forest and Shade Trees

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

This course provides an overview of tree diseases in urban and forested areas. It covers diseases that have had a significant impact on society such as Dutch Elm disease; oak wilt, chestnut blight, white pine blister rust, sudden oak death and many others. It also provides an overview of important cankers, leaf diseases, wilts, rusts, root rots and other tree problems. Laboratory sessions enable students to get hands-on experience identifying disease agents, examining symptoms and learning appropriate control procedures. Emphasis will also be placed on ecological processes, biological and cultural control, and host-parasite interactions. This course should be of value to anyone interested in biological sciences, natural resources or ecology. It is a must or individuals that will have a career in natural resources but should also be useful to those interested in maintaining healthy trees at home, in urban areas or woodlands. Alumni of the University working with trees or woody ornamentals indicate this is one of the most important courses you can take as a student.

PLPA 5480 - Principles of Plant Pathology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

This course is intended for graduate students and undergraduate students in their third or fourth year that are interested in learning about principles of plant pathology, diseases that affect plants, microbiology and microbial and plant interactions. In this course students will learn principles of plant pathology through lectures and demonstrations and exercises in laboratory. Students will gain knowledge of mycology and select diseases caused by fungi within Ascomycota, Basidiomycota and the fungal-like Oomycota. Diseases caused by bacteria, nematodes, viruses, parasitic plants and abiotic damage are also examined. Lectures will include information concerning the history and importance of plant pathology, mycology, bacteriology, nematology, virology, infection process, genetics of host and microorganism interactions, epidemiology of diseases and disease control strategies. In the hands-on laboratory period the student will learn laboratory skills, gain experience using the microscope, work with microorganisms, learn diagnostic skills, and be able to recognize 30 plant diseases. prereq: BIOL 1009 or equiv

POL 8126 - Qualitative Methods

Credits:	3.0 [max 3.0]
Typically offered:	Fall Even, Spring Odd Year

Qualitative methods in social science. Hands-on training through fieldwork projects. Interviewing, participant observation, narrative interpretation, ethical problems. Issues of gender/race in fieldwork. prereq: Grad student

PUBH 7250 - Designing and Conducting Focus Group Interviews

Credits:	1.0 [max 1.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Spring & Summer

Interactive, intensive overview of focus group procedures for public/non-profit environments. Practical approaches to determining appropriate use of focus groups. Design options, developing questions, recruiting participants, moderating. Analyzing/reporting results.

PUBH 7407 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Contingency tables, odds ratio, relative risk, chi-square tests, log-linear models, logistic regression, conditional logistic regression, Poisson regression, matching, generalized linear models for independent data. SAS/S-Plus used throughout. prereq: 7405, [Stat 5102 or concurrent registration is required (or allowed) in Stat 5102 or Stat 8102 or concurrent registration is required (or allowed) in Stat 8102]

SOC 5811 - Social Statistics for Graduate Students

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall

In this course, students will learn core statistical and computations principles that will allow them to perform quantitative analyses using social data. The course is designed for social science students at the beginning of their graduate school careers. However, advanced undergraduates can take the course, which will involve a few modifications to the assignment schedule. Sociology 5811 will review basic probability, and then move on to univariate inference, the linear regression model, and introductory lessons of causal inference. In doing so, students will explore statistical concepts and methods that provide the foundation sociologists use to most commonly collect and analyze numerical evidence. Sociology 5811 will also provide the foundation for data management and statistical inference using Stata, a statistical computing environment that is popular in the social sciences. prereq: Undergraduate students are expected to have familiarity with the materials taught in the equivalent of 3811. Students who are unsure of the course requirements should contact the instructor. Undergraduates with a strong math background are encouraged to register for 5811 in lieu of 3811. Soc majors must register A-F. 5811 is a good social statistics foundation course for MA students from other programs. 5811 will not count for credits towards the Soc PhD program requirements.

SOC 8801 - Sociological Research Methods

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall & Spring

Multiple objectives of social research and how they inform research design. Conceptualization and measurement of complex concepts. Broad issues in research design and quantitative and qualitative approaches to data collection and management. prereq: Grad soc major or instr consent

SOC 8811 - Advanced Social Statistics

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Statistical methods for analyzing social data. Sample topics: advanced multiple regression, logistic regression, limited dependent variable analysis, analysis of variance and covariance, log-linear models, structural equations, and event history analysis. Applications to datasets using computers. prereq: recommend 5811 or equiv; graduate student or instr consent

SOIL 5611 - Soil Biology and Fertility

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 3612W/Soil 5611
Typically offered:	Every Fall

Properties of microorganisms that impact soil fertility, structure, and quality. Nutrient requirements of microbes and plants, and mineral transformations in biogeochemical cycling. Symbiotic plant/microbe associations and their role in sustainable agricultural production. Biodegradation of pollutants and bioremediation approaches. prereq: Biol 1009 or equiv, Chem 1021 or equiv; Soil 2125 recommended

STAT 5021 - Statistical Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall & Spring

Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011

STAT 5201 - Sampling Methodology in Finite Populations

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Simple random, systematic, stratified, unequal probability sampling. Ratio, model based estimation. Single stage, multistage, adaptive cluster sampling. Spatial sampling. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5302 - Applied Regression Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications. prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.

STAT 5303 - Designing Experiments

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Analysis of variance. Multiple comparisons. Variance-stabilizing transformations. Contrasts. Construction/analysis of complete/incomplete block designs. Fractional factorial designs. Confounding split plots. Response surface design. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5401 - Applied Multivariate Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall

Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.

STAT 5421 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Varieties of categorical data, cross-classifications, contingency tables. Tests for independence. Combining 2x2 tables. Multidimensional tables/loglinear models. Maximum-likelihood estimation. Tests for goodness of fit. Logistic regression. Generalized linear/multinomial-response models. prereq: STAT 3022 or 3032 or 3301 or 5302 or 4051 or 8051 or 5102 or 4102

STAT 5601 - Nonparametric Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Order statistics. Classical rank-based procedures (e.g., Wilcoxon, Kruskal-Wallis). Goodness of fit. Topics may include smoothing, bootstrap, and generalized linear models. prereq: Stat classes 3032 or 3022 or 4102 or 5021 or 5102 or instr consent

STAT 8051 - Advanced Regression Techniques: linear, nonlinear and nonparametric methods

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Linear/generalized linear models, modern regression methods including nonparametric regression, generalized additive models, splines/basis function methods, regularization, bootstrap/other resampling-based inference. prereq: Statistics grad or instr consent

STAT 8052 - Applied Statistical Methods 2: Design of Experiments and Mixed -Effects Modeling

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Design experiments/analyze data with fixed effects, random/mixed effects models. ANOVA for factorial designs. Contrasts, multiple comparisons, power/sample size, confounding, fractional factorials. Computer-generated designs. Response surfaces. Multi-level models. Generalized estimating equations (GEE) for longitudinal data with non-normal errors. prereq: 8051 or instr consent

STAT 8053 - Applied Statistical Methods 3: Multivariate Analysis and Advanced Regression

Credits:	3.0 [max 3.0]
Prerequisites:	PhD student in stat or DGS permission and 8052
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Standard multivariate analysis. Multivariate linear model, classification, clustering, principal components, factor analysis, canonical correlation. Topics in advanced regression. prereq: PhD student in stat or DGS permission and 8052

STAT 8054 - Statistical Methods 4: Advanced Statistical Computing

Credits:	3.0 [max 3.0]
Prerequisites:	STAT 8053 or #
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Optimization, numerical integration, Markov chain Monte Carlo, related topics. prereq: STAT 8053 or instr consent

WRIT 5051 - Graduate Research Writing for International Students

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall, Spring & Summer

Graduate research writing emphasizes writing techniques, structures, style, and formal language for scholarly writing including research proposals and abstracts, critiques/reviews, and thesis/dissertations and publications. Special focus on field-specific scholarly expectations, documentation, structure/style, grammar, formal or scholarly vocabulary, and extensive revising/editing based on instructor and mentor feedback to meet graduate standards. Discussions. prereq: Grad student

AGRO 5121 - Applied Experimental Design

Credits:	4.0 [max 4.0]
Course Equivalencies:	Agro 5121/Ent 5121
Typically offered:	Every Spring

Principles of sampling methodologies, experimental design, and statistical analyses. Methods/procedures in generating scientific hypotheses. Organizing, initiating, conducting, and analyzing scientific experiments using experimental designs and statistical procedures. prereq: Stat 5021 or equiv or instr consent

APEC 5031 - Methods of Economic Data Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

The course introduces linear statistical economic (econometric) models with and without independent errors. It also introduces econometric models for analyzing discrete response variables, censored response variables, and non-random data samples. It shows how these econometric models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. prereq: APEC 3001, Math 1142 or Math 1272, Stat 3001 or Sco 2550 or grad student or instructor consent

APEC 5032 - Economic Data Analysis for Managerial and Policy Decisions

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

The course covers statistical and econometric methods for the analysis of data to support managerial and policy decisions. It includes methods for organizing, accessing, and ensuring the quality of data. The econometric methods covered by the course are applicable to panel, discrete response, duration, and time series data. prereq: 5031 or instr consent

APEC 8211 - Econometric Analysis I

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are independent and the sample size is large. it shows how linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: ApEc 5031 or equiv OR Ph.D. student OR instr consent

APEC 8212 - Econometric Analysis II

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are dependent because individual units are sampled over regular time intervals (panel data) as well as for other reasons. It shows how these linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: 8211 or equiv or instr consent

BBE 5001 - Chemistry of Biomass and Biomass Conversion to Fuels and Products

Credits:	4.0 [max 4.0]
Course Equivalencies:	BBE 4001/BBE 5001/Chem 4001
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Chemistry of biomass. Sustainable utilization for biofuels/bioproducts. Bio-based materials, chemicals, energy. Environmental implications. Chemical principles/reactions underlying the structure, properties, processing, and performance of plant materials. prereq: Grad student or instr consent

BBE 5023 - Process Control and Instrumentation

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4023/BBE 5023/CEGE 4416/CE
Typically offered:	Every Fall

Fundamental principles in system dynamics/control. Emphasizes process systems and problems faced by process engineers. prereq: Grad student or instr consent

BBE 5301 - Applied Surface and Colloid Science

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4301/BBE 5301/Chem 4301
Typically offered:	Every Fall

Introduction to surface/colloid science concepts. Surface tension, wetting, adsorption, capillarity. Formation/stability of sols, emulsions, and foams. Water solubility. Partition coefficients of organic species. Properties of both surfactants and water soluble polymers. Focuses on interdisciplinary applications.

BBE 5302 - Biodegradation of Bioproducts

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4302/BBE 5302/BP 4302/5302
Typically offered:	Every Spring

Organisms and their importance to bio-based products: deterioration, control, bioprocesses for benefit. prereq: Grad student or instr consent

BBE 5303 - Introduction to Bio-based Materials Science

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4303/BBE 5303
Typically offered:	Every Spring

Principles of materials science, their application to bio-based materials. Project required. prereq: Grad student or instr consent

BBE 5305 - Pulp and Paper Technology

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4305/BBE 5305
Typically offered:	Every Spring

Pulping processes, fiber refining/processing, paper manufacturing, fiber/paper properties, paper recycling. Water requirements, effluent treatment. Chemical/mechanical pulping, pulp preparation, secondary fiber, de-inking, wet end additives. Lab problems/exercises supplemented by lectures. Online course. prereq: Grad student or instr consent

BBE 5401 - Bioproducts Separation and Purification Processes

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4401/BBE 5401
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Unit operations of bioproducts engineering/manufacture. Project required. prereq: Grad student or instr consent

BBE 5402 - Bio-based Products Engineering Lab II

Credits:	2.0 [max 2.0]
Course Equivalencies:	BBE 4402/BBE 5402
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Unit operations laboratory exercises in bio-based products engineering/manufacture.

BBE 5403 - Bio-based Products Engineering Lab I

Credits:	2.0 [max 2.0]
Course Equivalencies:	BBE 4403/BBE 5403
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Laboratory exercises in bio-based products engineering. prereq: Grad student or instr consent

BBE 5404 - Biopolymers and Biocomposites Engineering

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4404/BBE 5404
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Structure/properties of biopolymers. Engineering of composites from biopolymers/plant-based materials. prereq: grad student or instr consent

BBE 5608 - Environmental and Industrial Microbiology

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4608/BBE 5608
Grading Basis:	A-F only
Typically offered:	Every Fall

Microbes, including fungi, bacteria, and other small-scale organisms, are the pioneer life of the planet, shaping and maintaining the ecosystem. Microbiology is the discipline that studies the basic biology and fundamental processes of microbes, with the aim of answering and solving the relevant environmental and industrial questions. Microbiology remains a frontier, but has developed significantly in recent years. Growth in this research area is largely due to vast improvements in molecular tools (for example: genome sequencing and editing, microscopes, data analysis) and other biochemical techniques, often driven by interest in emergent applications for these unique organisms. These applications include those related to protecting environmental quality as well as those related to making novel products, including materials, fuels, and chemicals. These also include understanding the roles of microbes in the natural nutrient cycles and other key natural processes. This course is therefore designed to introduce students to the taxonomy, biology and ecology of microbes, and to focus on key applications for which these microbes can be applied. prereq: Graduate Student

BBE 5713 - Biological Process Engineering

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4713/BBE 5713
Grading Basis:	A-F only
Typically offered:	Every Spring

Material/energy balances. Homogeneous reactions of bioprocess engineering and biological systems. Fermentation engineering, reactor design fundamentals. Filtration, centrifugation, separation, absorption, extraction, chromatography. Biorefining. Conversion of biomass into bioenergy, biochemicals, and biomaterials. prereq: [3033, [4013 or concurrent registration is required (or allowed) in 4013], or instr consent

BBE 5733 - Renewable Energy Technologies

Credits:	3.0 [max 3.0]
Course Equivalencies:	BBE 4733/CEGE 4513/ChEn 5551
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Energy security and its environmental, economic and societal impacts. Current and emerging technologies for production and use, characteristics of renewable energy, key methods for efficient production, current and probable future, and impact on sustainable development. prereq: Grad student or instr consent

BBE 8001 - Seminar I

Credits:	1.0 [max 1.0]
Grading Basis:	A-F only
Typically offered:	Every Fall

Presentation/discussions on current research topics, research philosophy/principles, proposal writing, professional presentations.

BBE 8002 - Seminar II

Credits:	1.0 [max 2.0]
Grading Basis:	A-F only
Typically offered:	Every Spring

Organization/critique of seminars on new developments in biosystems and agricultural engineering. prereq: 8001 or concurrent registration is required (or allowed) in 8001 or equiv

BBE 8013 - Parameter Estimation in Biosystems and Agricultural Engineering

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall & Spring

Procedures for estimating parameter values and parameter uncertainty from experimental data. Values and interpretation of linear and nonlinear models using ordinary and weighted least-square methods. Design of experiments. Application to biosystems and agricultural engineering problems. prereq: Stat 3021 or equiv, computer programming course

BBE 8300 - Research Problems

Credits:	1.0 -10.0 [max 10.0]
Typically offered:	Every Fall & Spring

Independent research under faculty guidance. prereq: instr consent

CHEM 5210 - Materials Characterization

Credits:	4.0 [max 4.0]
Typically offered:	Every Spring

Modern tools/techniques for both bulk- and thin-film characterization. Topics may include ion-solid interactions, Rutherford back scattering, secondary ion mass spectrometry, solid-state NMR, x-ray photoelectron spectroscopy, small-angle x-ray/neutron scattering, transmission/scanning electron/probe microscopy, near-field scanning optical microscopy, porosimetry, adsorption techniques, and ellipsometry. prereq: grad student or instr consent

CI 8149 - Qualitative Research: Coding, Analysis, Interpretation, and Writing

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall

How to code/analyze field notes. Individual/group interviews, multimedia using NUDIST NVivo software. Students interpret analyzed material and complete an article length document that includes a review of related research/methodology. prereq: [8133, 8148, grad student, completion of a qualitative research study] or instr consent

DES 8103 - Qualitative Research Methods in Design

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Qualitative Research Methods in Design provides an overview of qualitative research methods in design research. This course reviews a series of qualitative research inquiries (grounded theory, ethnographic research, case studies), data collection (interview, observation, focus groups), and analysis methods (coding). This course discusses how these methodologies and methods are applied to graduate-level research in different design contexts.

EPSY 5221 - Principles of Educational and Psychological Measurement

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Concepts, principles, and methods in educational/psychological measurement. Reliability, validity, item analysis, scores, score reports (e.g., grades). Modern measurement theories, including item response theory and generalizability theory. Emphasizes construction, interpretation, use, and evaluation of assessments regarding achievement, aptitude, interests, attitudes, personality, and exceptionality.

EPSY 5244 - Survey Design, Sampling, and Implementation

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Survey methods, including mail, phone, and Web-based/e-mail surveys. Principles of measurement, constructing questions/forms, pilot testing, sampling, data analysis, reporting. Students develop a survey proposal and a draft survey, pilot the survey, and develop sampling/data analysis plans. prereq: [5221 or 5231 or 5261 or equiv], [CEHD grad student or MEd student]

EPSY 5247 - Qualitative Methods in Educational Psychology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Introduction to qualitative methods of inquiry. Contrasting different research traditions (e.g., case study, phenomenology, ethnography, social interactionism, critical theory). Practice with field notes, observations, and interviewing. Use of NVIVO to track/code data. prereq: Graduate student or Applied Psychology in Educational and Community Settings Minor

EPSY 5261 - Introductory Statistical Methods

Credits:	3.0 [max 3.0]
Course Equivalencies:	EPsy 3264/5231/5261/5263
Typically offered:	Every Fall, Spring & Summer

EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.

EPSY 5262 - Intermediate Statistical Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Application of statistical concepts/procedures. Analysis of variance, covariance, multiple regression. Experimental design: completely randomized, block, split plot/repeated measures. prereq: 3264 or 5261 or equiv

EPSY 8266 - Statistical Analysis Using Structural Equation Methods

Credits:	3.0 [max 3.0]
Prerequisites:	8265, [8252 or equiv]
Typically offered:	Periodic Spring

Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]

ESPM 5211 - Survey, Measurement, and Modeling for Environmental Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3211/ESPM 5211
Typically offered:	Every Spring

Survey, measurement, and modeling concepts/methods for study of natural resources/environmental issues. Emphasizes survey design for data collection, estimation, and analysis for issues encompassing land, water, air, vegetation, wildlife, and human/social variables.

ESPM 5242 - Methods for Environmental and Natural Resource Policy Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 4242/ESPM 5242
Grading Basis:	A-F only
Typically offered:	Fall Even Year

Methods, formal and informal, for analyzing environmental and natural resource policies. How to critically evaluate policies, using economic and non-economic decision-making criteria. Application of policy analysis principles/concepts to environmental/natural resource problems. Recognizing politically-charged environment in which decisions over use, management, and protection of these resources often occur. prereq: grad student

ESPM 5603 - Environmental Life Cycle Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3603/ESPM 5603
Grading Basis:	A-F only
Typically offered:	Every Fall

Concepts, major issues relating to inventory and subsequent analysis of production systems. Production system from holistic point of view, using term commonly used in industrial ecology: "the metabolic system." prereq: [Math 1142 or [Math 1271, Math 1282]], [Econ 1101 or ApEc 1101]

FNRM 5104 - Forest Ecology

Credits:	4.0 [max 4.0]
Course Equivalencies:	FNRM 3104/FNRM 5104
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Form and function of forests as ecological systems. Characteristics and dynamics of species, populations, communities, landscapes, and ecosystem processes. Examples applying ecology to forest management. Weekly discussions on research topics, exercises, and current issues in forest resource management. Required weekend field trip. Introductory biology course recommended.

FNRM 5131 - Geographical Information Systems (GIS) for Natural Resources

Credits:	4.0 [max 4.0]
Course Equivalencies:	FNRM 3131/FNRM 5131/FR 3131/
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Geographic information systems (GIS), focusing on spatial data development and analysis in the science and management of natural resources. Basic data structures, sources, collection, and quality; geodesy and map projections; spatial and tabular data analyses; digital elevation data and terrain analyses; cartographic modeling and layout. Lab exercises provide practical experiences complementing theory covered in lecture. prereq: Grad student or instr consent

FNRM 8101 - Research Problems: Physiological Ecology

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8102 - Research Problems: Forest-Tree Genetics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8103 - Research Problems: Forest Hydrology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8104 - Research Problems: Forest Ecology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8105 - Research Problems: Silviculture

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8106 - Research Problems: Urban Forestry--Biology and Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8201 - Research Problems: Forest Economics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8202 - Research Problems: Forest Biometry and Measurements

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8203 - Research Problems: Forest Recreation

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8204 - Research Problems: Forest Policy

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8205 - Research Problems: Spatial Data Analysis

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8206 - Research Problems: Forest Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8207 - Economic Analysis of Natural Resource Projects

Credits:	1.0 -5.0 [max 5.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8208 - Research Problems: Environmental Learning and Leadership

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

GIS 5555 - Basic Spatial Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

How to use spatial data to answer questions on a wide array of social, natural, and information science issues. Exploratory data analysis/visualization. Spatial autocorrelation analysis/regression. prereq: [STAT 3001 or equiv, MGIS student] or instr consent

GRAD 8101 - Teaching in Higher Education

Credits:	3.0 [max 3.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Fall, Spring & Summer

Teaching methods/techniques. Active learning, critical thinking, practice teaching, and preparing a portfolio to document/reflect upon teaching. Readings, discussion, peer teaching, e-mail dialog, reflective writing, co-facilitation of course. prereq: Non-Degree Students: contact pffcollege consentumn.edu with questions about registration. If adding a section after first class meeting, contact your instructor as soon as you enroll.

GRAD 8200 - Teaching and Learning Topics in Higher Education

Credits:	1.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Create course materials for context/discipline. Assess student learning. Write action plan. Topics may include active learning in sciences, teaching with technology, multicultural education, teaching in clinical settings, learning-community course design.

ME 5228 - Introduction to Finite Element Modeling, Analysis, and Design

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Finite elements as principal analysis tool in computer-aided design (CAD); theoretical issues and implementation aspects for modeling and analyzing engineering problems encompassing stress analysis, heat transfer, and flow problems for linear situations. One-, two-, and three-dimensional practical engineering applications. prereq: CSE upper div or grad, 3221, AEM 3031, CSci 1113, MatS 2001

NR 5021 - Statistics for Agricultural and Natural Resource Professionals

Credits:	3.0 [max 3.0]
Course Equivalencies:	AnSc 3011/ESPM 3012/NR 5021/St
Typically offered:	Every Spring

This course is designed for graduate students in the agricultural, environmental, natural resources, and other related programs that require an understanding of statistics and applied quantitative research. Course content focuses on data analysis approaches using common statistical methods, e.g., probability and distributions, simple linear, multiple, and logistic regression, linear models, and analysis of variance. This course is completely online and asynchronous. prereq: College algebra or instructor consent

NR 8100 - Topics in Natural Resources Science and Management

Credits:	1.0 -2.0 [max 2.0]
Grading Basis:	S-N only
Typically offered:	Periodic Fall & Spring

Topics course for NRSM

OLPD 5061 - Ethnographic Research Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall, Spring & Summer

This course introduces students to knowledge and skills appropriate for the conduct of ethnographic research. Underlying purposes, assumptions, and distinctive characteristics of ethnographic methods will be examined as well as appropriate exemplars. Accordingly, the course emphasizes links between research purposes, the conceptualization of ethnographic projects and the development of researchable questions. The course also takes up a variety of ethical and political issues related to working with participants during the research process, as well as contemporary trustworthiness criteria for ethnographic written accounts. The bulk of the course is given to training in observation, generating field notes, developing interview questions, interviewing, collecting material cultural artifacts, using surveys, and analyzing, interpreting, and writing up ethnographic data. The first part of the course focuses on a critical discussion of ethnographic research purposes, epistemological assumptions, and essential features. Students choose and explore a published ethnographic study from their field of interest. The second part of the course is devoted to a very small scale ethnographic project which students design and carry out themselves. This project is supported by relevant readings and in-class activities (including peer review) related to the actual conduct of ethnographic research.

PA 5002 - Introduction to Policy Analysis

Credits:	1.5 [max 1.5]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Process of public policy analysis from problem structuring to communication of findings. Commonly used analytical methods. Alternative models of analytical problem resolution.

PA 5031 - Statistics for Public Affairs

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.

PA 5041 - Qualitative Methods for Policy Analysts

Credits:	4.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Qualitative analysis techniques, examples of application. Meet with researcher. Hands-on experience in designing, gathering, analyzing data.

PA 5920 - Skills Workshop

Credits:	0.5 -4.0 [max 48.0]
Typically offered:	Every Fall & Spring

Topics on public policy or planning skills. Topics specified in Class Schedule.

POL 8126 - Qualitative Methods

Credits:	3.0 [max 3.0]
Typically offered:	Fall Even, Spring Odd Year

Qualitative methods in social science. Hands-on training through fieldwork projects. Interviewing, participant observation, narrative interpretation, ethical problems. Issues of gender/race in fieldwork. prereq: Grad student

PUBH 7250 - Designing and Conducting Focus Group Interviews

Credits:	1.0 [max 1.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Spring & Summer

Interactive, intensive overview of focus group procedures for public/non-profit environments. Practical approaches to determining appropriate use of focus groups. Design options, developing questions, recruiting participants, moderating. Analyzing/reporting results.

PUBH 7407 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Contingency tables, odds ratio, relative risk, chi-square tests, log-linear models, logistic regression, conditional logistic regression, Poisson regression, matching, generalized linear models for independent data. SAS/S-Plus used throughout. prereq: 7405, [Stat 5102 or concurrent registration is required (or allowed) in Stat 5102 or Stat 8102 or concurrent registration is required (or allowed) in Stat 8102]

SOC 5811 - Social Statistics for Graduate Students

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall

In this course, students will learn core statistical and computations principles that will allow them to perform quantitative analyses using social data. The course is designed for social science students at the beginning of their graduate school careers. However, advanced undergraduates can take the course, which will involve a few modifications to the assignment schedule. Sociology 5811 will review basic probability, and then move on to univariate inference, the linear regression model, and introductory lessons of causal inference. In doing so, students will explore statistical concepts and methods that provide the foundation sociologists use to most commonly collect and analyze numerical evidence. Sociology 5811 will also provide the foundation for data management and statistical inference using Stata, a statistical computing environment that is popular in the social sciences. prereq: Undergraduate students are expected to have familiarity with the materials taught in the equivalent of 3811. Students who are unsure of the course requirements should contact the instructor. Undergraduates with a strong math background are encouraged to register for 5811 in lieu of 3811. Soc majors must register A-F. 5811 is a good social statistics foundation course for MA students from other programs. 5811 will not count for credits towards the Soc PhD program requirements.

SOC 8801 - Sociological Research Methods

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall & Spring

Multiple objectives of social research and how they inform research design. Conceptualization and measurement of complex concepts. Broad issues in research design and quantitative and qualitative approaches to data collection and management. prereq: Grad soc major or instr consent

SOC 8811 - Advanced Social Statistics

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Statistical methods for analyzing social data. Sample topics: advanced multiple regression, logistic regression, limited dependent variable analysis, analysis of variance and covariance, log-linear models, structural equations, and event history analysis. Applications to datasets using computers. prereq: recommend 5811 or equiv; graduate student or instr consent

STAT 5021 - Statistical Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall & Spring

Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011

STAT 5201 - Sampling Methodology in Finite Populations

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Simple random, systematic, stratified, unequal probability sampling. Ratio, model based estimation. Single stage, multistage, adaptive cluster sampling. Spatial sampling. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5302 - Applied Regression Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications. prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.

STAT 5303 - Designing Experiments

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Analysis of variance. Multiple comparisons. Variance-stabilizing transformations. Contrasts. Construction/analysis of complete/incomplete block designs. Fractional factorial designs. Confounding split plots. Response surface design. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5401 - Applied Multivariate Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall

Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.

STAT 5421 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Varieties of categorical data, cross-classifications, contingency tables. Tests for independence. Combining 2x2 tables. Multidimensional tables/loglinear models. Maximum-likelihood estimation. Tests for goodness of fit. Logistic regression. Generalized linear/multinomial-response models. prereq: STAT 3022 or 3032 or 3301 or 5302 or 4051 or 8051 or 5102 or 4102

STAT 5601 - Nonparametric Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Order statistics. Classical rank-based procedures (e.g., Wilcoxon, Kruskal-Wallis). Goodness of fit. Topics may include smoothing, bootstrap, and generalized linear models. prereq: Stat classes 3032 or 3022 or 4102 or 5021 or 5102 or instr consent

STAT 8051 - Advanced Regression Techniques: linear, nonlinear and nonparametric methods

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Linear/generalized linear models, modern regression methods including nonparametric regression, generalized additive models, splines/basis function methods, regularization, bootstrap/other resampling-based inference. prereq: Statistics grad or instr consent

STAT 8052 - Applied Statistical Methods 2: Design of Experiments and Mixed -Effects Modeling

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Design experiments/analyze data with fixed effects, random/mixed effects models. ANOVA for factorial designs. Contrasts, multiple comparisons, power/sample size, confounding, fractional factorials. Computer-generated designs. Response surfaces. Multi-level models. Generalized estimating equations (GEE) for longitudinal data with non-normal errors. prereq: 8051 or instr consent

STAT 8053 - Applied Statistical Methods 3: Multivariate Analysis and Advanced Regression

Credits:	3.0 [max 3.0]
Prerequisites:	PhD student in stat or DGS permission and 8052
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Standard multivariate analysis. Multivariate linear model, classification, clustering, principal components, factor analysis, canonical correlation. Topics in advanced regression. prereq: PhD student in stat or DGS permission and 8052

STAT 8054 - Statistical Methods 4: Advanced Statistical Computing

Credits:	3.0 [max 3.0]
Prerequisites:	STAT 8053 or #
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Optimization, numerical integration, Markov chain Monte Carlo, related topics. prereq: STAT 8053 or instr consent

WRIT 5051 - Graduate Research Writing for International Students

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall, Spring & Summer

Graduate research writing emphasizes writing techniques, structures, style, and formal language for scholarly writing including research proposals and abstracts, critiques/reviews, and thesis/dissertations and publications. Special focus on field-specific scholarly expectations, documentation, structure/style, grammar, formal or scholarly vocabulary, and extensive revising/editing based on instructor and mentor feedback to meet graduate standards. Discussions. prereq: Grad student

AGRO 5121 - Applied Experimental Design

Credits:	4.0 [max 4.0]
Course Equivalencies:	Agro 5121/Ent 5121
Typically offered:	Every Spring

Principles of sampling methodologies, experimental design, and statistical analyses. Methods/procedures in generating scientific hypotheses. Organizing, initiating, conducting, and analyzing scientific experiments using experimental designs and statistical procedures. prereq: Stat 5021 or equiv or instr consent

APEC 5031 - Methods of Economic Data Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

The course introduces linear statistical economic (econometric) models with and without independent errors. It also introduces econometric models for analyzing discrete response variables, censored response variables, and non-random data samples. It shows how these econometric models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. prereq: APEC 3001, Math 1142 or Math 1272, Stat 3001 or Sco 2550 or grad student or instructor consent

APEC 5032 - Economic Data Analysis for Managerial and Policy Decisions

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

The course covers statistical and econometric methods for the analysis of data to support managerial and policy decisions. It includes methods for organizing, accessing, and ensuring the quality of data. The econometric methods covered by the course are applicable to panel, discrete response, duration, and time series data. prereq: 5031 or instr consent

APEC 8211 - Econometric Analysis I

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are independent and the sample size is large. it shows how linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: ApEc 5031 or equiv OR Ph.D. student OR instr consent

APEC 8212 - Econometric Analysis II

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are dependent because individual units are sampled over regular time intervals (panel data) as well as for other reasons. It shows how these linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: 8211 or equiv or instr consent

CI 8149 - Qualitative Research: Coding, Analysis, Interpretation, and Writing

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall

How to code/analyze field notes. Individual/group interviews, multimedia using NUDIST NVivo software. Students interpret analyzed material and complete an article length document that includes a review of related research/methodology. prereq: [8133, 8148, grad student, completion of a qualitative research study] or instr consent

DES 8103 - Qualitative Research Methods in Design

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Qualitative Research Methods in Design provides an overview of qualitative research methods in design research. This course reviews a series of qualitative research inquiries (grounded theory, ethnographic research, case studies), data collection (interview, observation, focus groups), and analysis methods (coding). This course discusses how these methodologies and methods are applied to graduate-level research in different design contexts.

EEB 5053 - Ecology: Theory and Concepts

Credits:	4.0 [max 4.0]
Typically offered:	Fall Odd Year

Classical and modern mathematical theories of population growth, interspecific interactions, ecosystem dynamics and functioning, with emphasis on underlying assumptions and on effects of added biological reality on robustness of predictions, stability, interspecific interactions, ecosystem structure and functioning. prereq: Biol 3407 or instr consent

EPSY 5221 - Principles of Educational and Psychological Measurement

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Concepts, principles, and methods in educational/psychological measurement. Reliability, validity, item analysis, scores, score reports (e.g., grades). Modern measurement theories, including item response theory and generalizability theory. Emphasizes construction, interpretation, use, and evaluation of assessments regarding achievement, aptitude, interests, attitudes, personality, and exceptionality.

EPSY 5243 - Principles and Methods of Evaluation

Credits:	3.0 [max 3.0]
Course Equivalencies:	OLPD 5501/EPsy 5243
Typically offered:	Every Fall, Spring & Summer

Introductory course in program evaluation; planning an evaluation study, collecting and analyzing information, reporting results; overview of the field of program evaluation.

EPSY 5244 - Survey Design, Sampling, and Implementation

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Survey methods, including mail, phone, and Web-based/e-mail surveys. Principles of measurement, constructing questions/forms, pilot testing, sampling, data analysis, reporting. Students develop a survey proposal and a draft survey, pilot the survey, and develop sampling/data analysis plans. prereq: [5221 or 5231 or 5261 or equiv], [CEHD grad student or MEd student]

EPSY 5247 - Qualitative Methods in Educational Psychology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Introduction to qualitative methods of inquiry. Contrasting different research traditions (e.g., case study, phenomenology, ethnography, social interactionism, critical theory). Practice with field notes, observations, and interviewing. Use of NVIVO to track/code data. prereq: Graduate student or Applied Psychology in Educational and Community Settings Minor

EPSY 5261 - Introductory Statistical Methods

Credits:	3.0 [max 3.0]
Course Equivalencies:	EPsy 3264/5231/5261/5263
Typically offered:	Every Fall, Spring & Summer

EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.

EPSY 5262 - Intermediate Statistical Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Application of statistical concepts/procedures. Analysis of variance, covariance, multiple regression. Experimental design: completely randomized, block, split plot/repeated measures. prereq: 3264 or 5261 or equiv

EPSY 8251 - Statistical Methods in Education I

Credits:	3.0 [max 3.0]
Course Equivalencies:	EPsy 8251/EPsy 8261
Prerequisites:	[EPSY 5261 or equiv] or undergrad statistics course
Typically offered:	Every Fall, Spring & Summer

Statistical Methods in Education I is the first course in an entry-level, doctoral sequence for students in education. This course covers estimation and hypothesis testing with a particular focus on ANOVA and an introduction to multiple linear regression. Prepares students for EPSY 8252/8262. prereq: [EPSY 5261 or equiv] or undergrad statistics course

EPSY 8266 - Statistical Analysis Using Structural Equation Methods

Credits:	3.0 [max 3.0]
Prerequisites:	8265, [8252 or equiv]
Typically offered:	Periodic Spring

Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]

ESPM 5202 - Environmental Conflict Management, Leadership, and Planning

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3202WESPM /5202
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Negotiation of natural resource management issues. Use of collaborative planning. Case study approach to conflict management, strategic planning, and building leadership qualities. Emphasizes analytical concepts, techniques, and skills.

ESPM 5211 - Survey, Measurement, and Modeling for Environmental Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3211/ESPM 5211
Typically offered:	Every Spring

Survey, measurement, and modeling concepts/methods for study of natural resources/environmental issues. Emphasizes survey design for data collection, estimation, and analysis for issues encompassing land, water, air, vegetation, wildlife, and human/social variables.

ESPM 5242 - Methods for Environmental and Natural Resource Policy Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 4242/ESPM 5242
Grading Basis:	A-F only
Typically offered:	Fall Even Year

Methods, formal and informal, for analyzing environmental and natural resource policies. How to critically evaluate policies, using economic and non-economic decision-making criteria. Application of policy analysis principles/concepts to environmental/natural resource problems. Recognizing politically-charged environment in which decisions over use, management, and protection of these resources often occur. prereq: grad student

ESPM 5245 - Sustainable Land Use Planning and Policy

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3245/ESPM 5245
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Planning theories, concepts, and constructs. Policies, processes, and tools for sustainable land use planning. Scientific/technical literature related to land use planning. Skills needed to participate in sustainable land use planning.

ESPM 5251 - Natural Resources in Sustainable International Development

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3251/ESPM 5251/LAS 3251
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

International perspectives on resource use in developing countries. Integration of natural resource issues with social, economic, and policy considerations. Agriculture, forestry, agroforestry, non-timber forest products, water resources, certification, development issues. Latin American case studies. prereq: Grad student or instr consent

ESPM 5261 - Economics and Natural Resources Management

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 3261/ESPM 5261
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Microeconomic principles and their application to natural resource management problems. Economic and policy tools to address market failures. Discussion of regulatory and market-based instruments. Discounting and compounding concepts. Methods for conducting financial and economic analyses of natural resource management projects. Decision criteria when conducting benefit/cost analysis of natural resource projects. Methods for valuing non-market natural resource goods and services. Economics of managing renewable natural resources such as forests and fisheries. Land economics. Payments for environmental services. Planning and management problems. Case studies.

ESPM 5603 - Environmental Life Cycle Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3603/ESPM 5603
Grading Basis:	A-F only
Typically offered:	Every Fall

Concepts, major issues relating to inventory and subsequent analysis of production systems. Production system from holistic point of view, using term commonly used in industrial ecology: "the metabolic system." prereq: [Math 1142 or [Math 1271, Math 1282]], [Econ 1101 or ApEc 1101]

ESPM 5811 - Environmental Interpretation

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 4811/ESPM 5811
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

This course is designed to be an introduction to the broad field of Environmental Interpretation, Communication Theory, Visitor Information Services (VIS), and Nonformal Education experience's found in parks, nature centers, camps, zoos, museums, arboretums, and free-choice learning environments. Students will understand the definitions, role and scope of interpretation, differences between audiences and/or users of interpretive services, and distinguish between interpretive techniques based on their advantages/disadvantages. Students can also qualify for the National Association for Interpretation's (NAI) Certified Interpretive Guide (CIG) program.

FNRM 5101 - Park and Protected Area Tourism

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3101/FNRM 5101
Grading Basis:	A-F or Aud
Typically offered:	Fall Odd Year

Tourism is a significant industry locally, nationally, and internationally. Park and protected area attractions are among the most visited but also the most vulnerable attractions. This course is designed to familiarize you with the basic concept of park and protected area tourism, including cultural and ecotourism, and then develop your expertise to plan and evaluate sustainable tourism development and operations. Accordingly, you will complete assignments that apply the knowledge gained to planning and evaluation activities. This course is offered partially online. COURSE OBJECTIVES By the end of the class you will be able to: 1. Differentiate and appreciate the complexities involved with defining and developing nature, eco, heritage, geo-, park and protected, cultural & "sustainable tourism." 2. Identify specific social, economic, and environmental impacts associated with park and protected area tourism, how to measure them, and methods to minimize the negative and maximize the positive impacts. 3. Analyze domestic and international case studies of park and protected area tourism. 4. Critically evaluate park and protected area tourism services and effective management and planning. 5. Create elements of a business plan for park and protected area tourism operations that emphasize sustainability.

FNRM 5104 - Forest Ecology

Credits:	4.0 [max 4.0]
Course Equivalencies:	FNRM 3104/FNRM 5104
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Form and function of forests as ecological systems. Characteristics and dynamics of species, populations, communities, landscapes, and ecosystem processes. Examples applying ecology to forest management. Weekly discussions on research topics, exercises, and current issues in forest resource management. Required weekend field trip. Introductory biology course recommended.

FNRM 5131 - Geographical Information Systems (GIS) for Natural Resources

Credits:	4.0 [max 4.0]
Course Equivalencies:	FNRM 3131/FNRM 5131/FR 3131/
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Geographic information systems (GIS), focusing on spatial data development and analysis in the science and management of natural resources. Basic data structures, sources, collection, and quality; geodesy and map projections; spatial and tabular data analyses; digital elevation data and terrain analyses; cartographic modeling and layout. Lab exercises provide practical experiences complementing theory covered in lecture. prereq: Grad student or instr consent

FNRM 5232 - Managing Recreational Lands

Credits:	4.0 [max 4.0]
Course Equivalencies:	FNRM 4232W/FNRM 5232
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Most of us participate in some form of outdoor recreation: hiking, hunting, riding all-terrain vehicles, or simply enjoying nature. Managing for outdoor recreation on public lands is mandated by federal law and an integral part of natural resource management. In this class, we?ll learn why and how agencies manage recreation at the federal level, the management frameworks that guide this work, and apply management principles to an actual federal property in Minnesota. This course is designed to provide students with an understanding of the principles and practices of outdoor recreation management. Specific objectives are to: 1) Compare and contrast federal recreation land management policies and organizations, 2) Develop and demonstrate an understanding of conceptual frameworks for recreation resource and visitor use management, 3) Evaluate visitor caused impacts to resources and to visitor experiences, 4) Understand and apply management tools designed to reduce recreation- related impacts and conflicts, and 5) Demonstrate an understanding of course material through exams and applied assignments. prereq: Grad student or instr consent

FNRM 5259 - Visitor Behavior Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Recreation, leisure, and tourism are significant parts of the world, national, and state economies. Understanding visitor behavior is important and has significant implications for organizations, agencies, and businesses related to parks, tourism destinations, and museums. In this class, you will learn to apply both social science theory and methods to understand consumers, with an emphasis on visitors to parks and protected areas. You will immediately apply your learning of survey development, interviewing, observation and content analysis to real-word situations in class projects. This is an online course.

FNRM 8101 - Research Problems: Physiological Ecology

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8102 - Research Problems: Forest-Tree Genetics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8103 - Research Problems: Forest Hydrology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8104 - Research Problems: Forest Ecology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8105 - Research Problems: Silviculture

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8106 - Research Problems: Urban Forestry--Biology and Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8201 - Research Problems: Forest Economics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8202 - Research Problems: Forest Biometry and Measurements

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8203 - Research Problems: Forest Recreation

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8204 - Research Problems: Forest Policy

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8205 - Research Problems: Spatial Data Analysis

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8206 - Research Problems: Forest Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8207 - Economic Analysis of Natural Resource Projects

Credits:	1.0 -5.0 [max 5.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8208 - Research Problems: Environmental Learning and Leadership

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FW 5003 - Human Dimensions of Biological Conservation

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Survey of social, psychological, economic, policy aspects of managing/conserving wildlife, fisheries, and related resources. prereq: [Biol 1001 or Biol 1009], Biol 3407

GIS 5555 - Basic Spatial Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

How to use spatial data to answer questions on a wide array of social, natural, and information science issues. Exploratory data analysis/visualization. Spatial autocorrelation analysis/regression. prereq: [STAT 3001 or equiv, MGIS student] or instr consent

GRAD 8101 - Teaching in Higher Education

Credits:	3.0 [max 3.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Fall, Spring & Summer

Teaching methods/techniques. Active learning, critical thinking, practice teaching, and preparing a portfolio to document/reflect upon teaching. Readings, discussion, peer teaching, e-mail dialog, reflective writing, co-facilitation of course. prereq: Non-Degree Students: contact pffcollege consentumn.edu with questions about registration. If adding a section after first class meeting, contact your instructor as soon as you enroll.

GRAD 8200 - Teaching and Learning Topics in Higher Education

Credits:	1.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Create course materials for context/discipline. Assess student learning. Write action plan. Topics may include active learning in sciences, teaching with technology, multicultural education, teaching in clinical settings, learning-community course design.

NR 5021 - Statistics for Agricultural and Natural Resource Professionals

Credits:	3.0 [max 3.0]
Course Equivalencies:	AnSc 3011/ESPM 3012/NR 5021/St
Typically offered:	Every Spring

This course is designed for graduate students in the agricultural, environmental, natural resources, and other related programs that require an understanding of statistics and applied quantitative research. Course content focuses on data analysis approaches using common statistical methods, e.g., probability and distributions, simple linear, multiple, and logistic regression, linear models, and analysis of variance. This course is completely online and asynchronous. prereq: College algebra or instructor consent

NR 8100 - Topics in Natural Resources Science and Management

Credits:	1.0 -2.0 [max 2.0]
Grading Basis:	S-N only
Typically offered:	Periodic Fall & Spring

Topics course for NRSM

OLPD 5061 - Ethnographic Research Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall, Spring & Summer

This course introduces students to knowledge and skills appropriate for the conduct of ethnographic research. Underlying purposes, assumptions, and distinctive characteristics of ethnographic methods will be examined as well as appropriate exemplars. Accordingly, the course emphasizes links between research purposes, the conceptualization of ethnographic projects and the development of researchable questions. The course also takes up a variety of ethical and political issues related to working with participants during the research process, as well as contemporary trustworthiness criteria for ethnographic written accounts. The bulk of the course is given to training in observation, generating field notes, developing interview questions, interviewing, collecting material cultural artifacts, using surveys, and analyzing, interpreting, and writing up ethnographic data. The first part of the course focuses on a critical discussion of ethnographic research purposes, epistemological assumptions, and essential features. Students choose and explore a published ethnographic study from their field of interest. The second part of the course is devoted to a very small scale ethnographic project which students design and carry out themselves. This project is supported by relevant readings and in-class activities (including peer review) related to the actual conduct of ethnographic research.

OLPD 5501 - Principles and Methods of Evaluation

Credits:	3.0 [max 3.0]
Course Equivalencies:	OLPD 5501/EPsy 5243
Typically offered:	Every Fall, Spring & Summer

Introduction to program evaluation. Planning an evaluation study, collecting and analyzing information, reporting results; evaluation strategies; overview of the field of program evaluation.

OLPD 5502 - Comparative evaluation theory for practice

Credits:	3.0 [max 3.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Summer

This class will give students the foundation in evaluation theory necessary for high-quality and ethical practice in evaluation, consulting, or other forms of organizational change Recommend 5501 or equivalent (can be taken concurrently)

OLPD 5611 - Facilitation and Meeting Skills

Credits:	1.0 [max 1.0]
Typically offered:	Every Fall, Spring & Summer

Introduction to the disciplines of planning and running effective meetings. Tools and methods for meeting management and evaluation are presented within the context of organization development.

PA 4101 - Nonprofit Management and Governance

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Managing/governing nonprofit/public organizations. Theories, concepts, real-world examples. Governance systems, strategic management practices, effect of different funding environments, management of multiple constituencies.

PA 5002 - Introduction to Policy Analysis

Credits:	1.5 [max 1.5]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Process of public policy analysis from problem structuring to communication of findings. Commonly used analytical methods. Alternative models of analytical problem resolution.

PA 5011 - Dynamics of Public Affairs Organizations

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Critical analysis of organizations in the world of public affairs from multiple levels - including the individual, group, organization, and sector - and the dynamics of relationships among them. Develop actionable recommendations to improve organizational effectiveness in the context of multiple (often contested) prosocial purposes and conflicting stakeholder demands. Memo writing, case analyses, simulations, guest speakers, and self-awareness exercises

PA 5031 - Statistics for Public Affairs

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.

PA 5041 - Qualitative Methods for Policy Analysts

Credits:	4.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Qualitative analysis techniques, examples of application. Meet with researcher. Hands-on experience in designing, gathering, analyzing data.

PA 5501 - Theories and Policies of Development

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

What makes some countries wealthier than others, one group of people healthier and more educated than another? How does the behavior of rich nations affect poor nations? Origins of development thought, contemporary frameworks and policy debates. Economic, human, and sustainable development. prereq: Grad student or instr consent

PA 5920 - Skills Workshop

Credits:	0.5 -4.0 [max 48.0]
Typically offered:	Every Fall & Spring

Topics on public policy or planning skills. Topics specified in Class Schedule.

POL 8126 - Qualitative Methods

Credits:	3.0 [max 3.0]
Typically offered:	Fall Even, Spring Odd Year

Qualitative methods in social science. Hands-on training through fieldwork projects. Interviewing, participant observation, narrative interpretation, ethical problems. Issues of gender/race in fieldwork. prereq: Grad student

PSY 5202 - Attitudes and Social Behavior

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Spring

Theory/research on social psychology of beliefs/attitudes. Persuasion principles. prereq: 3201 or instr consent

PSY 5960 - Topics in Psychology

Credits:	1.0 -4.0 [max 8.0]
Typically offered:	Periodic Fall, Spring & Summer

Special course or seminar. Topics listed in Class Schedule. prereq: PSY 1001, [jr or sr or grad student]

PUBH 7250 - Designing and Conducting Focus Group Interviews

Credits:	1.0 [max 1.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Spring & Summer

Interactive, intensive overview of focus group procedures for public/non-profit environments. Practical approaches to determining appropriate use of focus groups. Design options, developing questions, recruiting participants, moderating. Analyzing/reporting results.

PUBH 7407 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Contingency tables, odds ratio, relative risk, chi-square tests, log-linear models, logistic regression, conditional logistic regression, Poisson regression, matching, generalized linear models for independent data. SAS/S-Plus used throughout. prereq: 7405, [Stat 5102 or concurrent registration is required (or allowed) in Stat 5102 or Stat 8102 or concurrent registration is required (or allowed) in Stat 8102]

SOC 5811 - Social Statistics for Graduate Students

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall

In this course, students will learn core statistical and computations principles that will allow them to perform quantitative analyses using social data. The course is designed for social science students at the beginning of their graduate school careers. However, advanced undergraduates can take the course, which will involve a few modifications to the assignment schedule. Sociology 5811 will review basic probability, and then move on to univariate inference, the linear regression model, and introductory lessons of causal inference. In doing so, students will explore statistical concepts and methods that provide the foundation sociologists use to most commonly collect and analyze numerical evidence. Sociology 5811 will also provide the foundation for data management and statistical inference using Stata, a statistical computing environment that is popular in the social sciences. prereq: Undergraduate students are expected to have familiarity with the materials taught in the equivalent of 3811. Students who are unsure of the course requirements should contact the instructor. Undergraduates with a strong math background are encouraged to register for 5811 in lieu of 3811. Soc majors must register A-F. 5811 is a good social statistics foundation course for MA students from other programs. 5811 will not count for credits towards the Soc PhD program requirements.

SOC 8701 - Sociological Theory

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Traditions of social theory basic to sociological knowledge, their reflection and expansion in contemporary theory, their applications in selected areas of empirical research. Sample topics: social inequality, social organization and politics, family organization and social reproduction, social order and change, sociology of knowledge and religion.

SOC 8801 - Sociological Research Methods

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall & Spring

Multiple objectives of social research and how they inform research design. Conceptualization and measurement of complex concepts. Broad issues in research design and quantitative and qualitative approaches to data collection and management. prereq: Grad soc major or instr consent

SOC 8811 - Advanced Social Statistics

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Statistical methods for analyzing social data. Sample topics: advanced multiple regression, logistic regression, limited dependent variable analysis, analysis of variance and covariance, log-linear models, structural equations, and event history analysis. Applications to datasets using computers. prereq: recommend 5811 or equiv; graduate student or instr consent

STAT 5021 - Statistical Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall & Spring

Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011

STAT 5201 - Sampling Methodology in Finite Populations

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Simple random, systematic, stratified, unequal probability sampling. Ratio, model based estimation. Single stage, multistage, adaptive cluster sampling. Spatial sampling. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5302 - Applied Regression Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications. prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.

STAT 5303 - Designing Experiments

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Analysis of variance. Multiple comparisons. Variance-stabilizing transformations. Contrasts. Construction/analysis of complete/incomplete block designs. Fractional factorial designs. Confounding split plots. Response surface design. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5401 - Applied Multivariate Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall

Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.

STAT 5421 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Varieties of categorical data, cross-classifications, contingency tables. Tests for independence. Combining 2x2 tables. Multidimensional tables/loglinear models. Maximum-likelihood estimation. Tests for goodness of fit. Logistic regression. Generalized linear/multinomial-response models. prereq: STAT 3022 or 3032 or 3301 or 5302 or 4051 or 8051 or 5102 or 4102

STAT 5601 - Nonparametric Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Order statistics. Classical rank-based procedures (e.g., Wilcoxon, Kruskal-Wallis). Goodness of fit. Topics may include smoothing, bootstrap, and generalized linear models. prereq: Stat classes 3032 or 3022 or 4102 or 5021 or 5102 or instr consent

STAT 8051 - Advanced Regression Techniques: linear, nonlinear and nonparametric methods

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Linear/generalized linear models, modern regression methods including nonparametric regression, generalized additive models, splines/basis function methods, regularization, bootstrap/other resampling-based inference. prereq: Statistics grad or instr consent

STAT 8052 - Applied Statistical Methods 2: Design of Experiments and Mixed -Effects Modeling

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Design experiments/analyze data with fixed effects, random/mixed effects models. ANOVA for factorial designs. Contrasts, multiple comparisons, power/sample size, confounding, fractional factorials. Computer-generated designs. Response surfaces. Multi-level models. Generalized estimating equations (GEE) for longitudinal data with non-normal errors. prereq: 8051 or instr consent

STAT 8053 - Applied Statistical Methods 3: Multivariate Analysis and Advanced Regression

Credits:	3.0 [max 3.0]
Prerequisites:	PhD student in stat or DGS permission and 8052
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Standard multivariate analysis. Multivariate linear model, classification, clustering, principal components, factor analysis, canonical correlation. Topics in advanced regression. prereq: PhD student in stat or DGS permission and 8052

STAT 8054 - Statistical Methods 4: Advanced Statistical Computing

Credits:	3.0 [max 3.0]
Prerequisites:	STAT 8053 or #
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Optimization, numerical integration, Markov chain Monte Carlo, related topics. prereq: STAT 8053 or instr consent

WRIT 5051 - Graduate Research Writing for International Students

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall, Spring & Summer

Graduate research writing emphasizes writing techniques, structures, style, and formal language for scholarly writing including research proposals and abstracts, critiques/reviews, and thesis/dissertations and publications. Special focus on field-specific scholarly expectations, documentation, structure/style, grammar, formal or scholarly vocabulary, and extensive revising/editing based on instructor and mentor feedback to meet graduate standards. Discussions. prereq: Grad student

AGRO 5121 - Applied Experimental Design

Credits:	4.0 [max 4.0]
Course Equivalencies:	Agro 5121/Ent 5121
Typically offered:	Every Spring

Principles of sampling methodologies, experimental design, and statistical analyses. Methods/procedures in generating scientific hypotheses. Organizing, initiating, conducting, and analyzing scientific experiments using experimental designs and statistical procedures. prereq: Stat 5021 or equiv or instr consent

APEC 5031 - Methods of Economic Data Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

The course introduces linear statistical economic (econometric) models with and without independent errors. It also introduces econometric models for analyzing discrete response variables, censored response variables, and non-random data samples. It shows how these econometric models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. prereq: APEC 3001, Math 1142 or Math 1272, Stat 3001 or Sco 2550 or grad student or instructor consent

APEC 5032 - Economic Data Analysis for Managerial and Policy Decisions

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

The course covers statistical and econometric methods for the analysis of data to support managerial and policy decisions. It includes methods for organizing, accessing, and ensuring the quality of data. The econometric methods covered by the course are applicable to panel, discrete response, duration, and time series data. prereq: 5031 or instr consent

APEC 5321 - Regional Economic Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Development patterns. Role of resources, transportation, and institutional constraints. Migration, investments in growth and change. Economic information in investment and location decisions. Economic development policies and tools. Economic impact analysis. prereq: 3006 or ECON 3102 or instr consent

APEC 5711 - Agricultural and Environmental Policy

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Spring

This is a topics course which changes from year to year. This year we will consider the relationship between famines and armed conflict. The general supposition (conventional wisdom) is that famines are the result of the forces of nature � floods, droughts, and earthquakes. In fact, the evidence supports the argument that famines result from the actions of man to do harm to others. We will consider a variety of cases including the Irish Famine of the 19th Century, the hunger after the conclusion of World War II, and the Bengal Famine of 1948. prereq: 3001 or Econ 3101

APEC 8211 - Econometric Analysis I

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are independent and the sample size is large. it shows how linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: ApEc 5031 or equiv OR Ph.D. student OR instr consent

APEC 8212 - Econometric Analysis II

Credits:	2.0 [max 4.0]
Typically offered:	Every Fall

The course introduces the foundations for statistical economic (econometric) models, linear econometric models, and inference with linear econometric models when observations are dependent because individual units are sampled over regular time intervals (panel data) as well as for other reasons. It shows how these linear models can be used to evaluate and quantify theoretical relationships and forecast counterfactual economic outcomes. Part of four-course, year-long sequence (APEC 8211-2-3-4). prereq: 8211 or equiv or instr consent

CI 8149 - Qualitative Research: Coding, Analysis, Interpretation, and Writing

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall

How to code/analyze field notes. Individual/group interviews, multimedia using NUDIST NVivo software. Students interpret analyzed material and complete an article length document that includes a review of related research/methodology. prereq: [8133, 8148, grad student, completion of a qualitative research study] or instr consent

CONS 8001 - Conservation Biology Seminar

Credits:	1.0 [max 6.0]
Grading Basis:	S-N or Aud
Typically offered:	Every Fall & Spring

Topics vary. prereq: instr consent

CONS 8004 - Economic and Social Aspects of Conservation Biology

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Economic/social aspects of conservation biology. Ecological economics, human dimension of conservation biology, values of conserving species/ecosystems. prereq: CBio student or instr consent

CONS 8201 - How to Excel in Graduate School

Credits:	2.0 [max 8.0]
Grading Basis:	S-N only
Typically offered:	Every Fall

Overview of history/philosophy of science as framework for writing thesis or dissertation. How to conduct research. Time management.

DES 8103 - Qualitative Research Methods in Design

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Qualitative Research Methods in Design provides an overview of qualitative research methods in design research. This course reviews a series of qualitative research inquiries (grounded theory, ethnographic research, case studies), data collection (interview, observation, focus groups), and analysis methods (coding). This course discusses how these methodologies and methods are applied to graduate-level research in different design contexts.

EEB 4129 - Mammalogy

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Evolutionary and biogeographic history of mammalia. Recognize, identify, and study natural history of mammals at the ordinal level, North American mammals at familial level, and mammals north of Mexico at generic level. Minnesota mammals at specific level. Includes lab. prereq: Biol 1001 or Biol 2012

EEB 4134 - Introduction to Ornithology

Credits:	4.0 [max 4.0]
Typically offered:	Every Spring

Structure, evolution, classification, distribution, migration, ecology, habitats, identification of birds. Lecture, lab, weekly field walks. One weekend field trip. prereq: Biol 1001 or Biol 2012

EEB 5053 - Ecology: Theory and Concepts

Credits:	4.0 [max 4.0]
Typically offered:	Fall Odd Year

Classical and modern mathematical theories of population growth, interspecific interactions, ecosystem dynamics and functioning, with emphasis on underlying assumptions and on effects of added biological reality on robustness of predictions, stability, interspecific interactions, ecosystem structure and functioning. prereq: Biol 3407 or instr consent

EEB 5601 - Limnology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Advanced introduction to description/analysis of interaction of physical, chemical, and biological factors that control functioning of life in lakes and other freshwater aquatic environments. prereq: Grad student or instr consent

EEB 5609 - Ecosystem Ecology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Regulation of energy and elements cycling through ecosystems. Dependence of cycles on kinds/numbers of species within ecosystems. Effects of human-induced global changes on functioning of ecosystems.

ENT 5910 - Special Problems in Entomology

Credits:	1.0 -6.0 [max 10.0]
Typically offered:	Every Fall & Spring

Individual field, lab, or library studies in various aspects of entomology. prereq: instr consent

EPSY 5221 - Principles of Educational and Psychological Measurement

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Concepts, principles, and methods in educational/psychological measurement. Reliability, validity, item analysis, scores, score reports (e.g., grades). Modern measurement theories, including item response theory and generalizability theory. Emphasizes construction, interpretation, use, and evaluation of assessments regarding achievement, aptitude, interests, attitudes, personality, and exceptionality.

EPSY 5244 - Survey Design, Sampling, and Implementation

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Survey methods, including mail, phone, and Web-based/e-mail surveys. Principles of measurement, constructing questions/forms, pilot testing, sampling, data analysis, reporting. Students develop a survey proposal and a draft survey, pilot the survey, and develop sampling/data analysis plans. prereq: [5221 or 5231 or 5261 or equiv], [CEHD grad student or MEd student]

EPSY 5247 - Qualitative Methods in Educational Psychology

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Introduction to qualitative methods of inquiry. Contrasting different research traditions (e.g., case study, phenomenology, ethnography, social interactionism, critical theory). Practice with field notes, observations, and interviewing. Use of NVIVO to track/code data. prereq: Graduate student or Applied Psychology in Educational and Community Settings Minor

EPSY 5261 - Introductory Statistical Methods

Credits:	3.0 [max 3.0]
Course Equivalencies:	EPsy 3264/5231/5261/5263
Typically offered:	Every Fall, Spring & Summer

EPSY 5261 is designed to engage students in statistics as a principled approach to data collection, prediction, and scientific inference. Students first learn about data collection (e.g., random sampling, random assignment) and examine data descriptively using graphs and numerical summaries. Students build conceptual understanding of statistical inference through the use of simulation-based methods (bootstrapping and randomization) before going on to learn parametric methods, such as t-tests (one-sample and two-sample means), z-tests (one-sample and two-sample proportions), chi-square tests, and regression. This course uses pedagogical methods grounded in research, such as small group activities and discussion. Attention undergraduates: As this is a graduate level course, it does not fulfill the Mathematical Thinking Liberal Education requirement. If you would like to take a statistics course in our department that fulfills that requirement, please consider EPSY 3264.

EPSY 5262 - Intermediate Statistical Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Application of statistical concepts/procedures. Analysis of variance, covariance, multiple regression. Experimental design: completely randomized, block, split plot/repeated measures. prereq: 3264 or 5261 or equiv

EPSY 8251 - Statistical Methods in Education I

Credits:	3.0 [max 3.0]
Course Equivalencies:	EPsy 8251/EPsy 8261
Prerequisites:	[EPSY 5261 or equiv] or undergrad statistics course
Typically offered:	Every Fall, Spring & Summer

Statistical Methods in Education I is the first course in an entry-level, doctoral sequence for students in education. This course covers estimation and hypothesis testing with a particular focus on ANOVA and an introduction to multiple linear regression. Prepares students for EPSY 8252/8262. prereq: [EPSY 5261 or equiv] or undergrad statistics course

EPSY 8252 - Statistical Methods in Education II

Credits:	3.0 [max 3.0]
Course Equivalencies:	EPsy 8252/EPsy 8262
Prerequisites:	[8251, 8261 or equiv]
Typically offered:	Every Fall & Spring

Statistical Methods in Education II is the second course in an entry-level, doctoral sequence for students in education. This course focuses on multiple linear regression and provides an introduction to linear mixed models. prereq: [8251, 8261 or equiv]

EPSY 8266 - Statistical Analysis Using Structural Equation Methods

Credits:	3.0 [max 3.0]
Prerequisites:	8265, [8252 or equiv]
Typically offered:	Periodic Spring

Quantitative techniques using manifest/latent variable approaches for analysis of educational/social science data. Introduction to structural equation modeling approaches to multiple regression, factor analysis, path modeling. Developing, estimating, interpreting structural equation models. prereq: 8265, [8252 or equiv]

EPSY 8268 - Hierarchical Linear Modeling in Educational Research

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Conceptual framework of hierarchical linear models for nested data, their application in educational research. Nature/effects of nested data, logic of hierarchical models, mixed-effects models. Estimation/hypothesis testing in these models, model-checking, nonlinear models. prereq: [8252 or equiv]

ESPM 5108 - Ecology of Managed Systems

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 3108/ESPM 5108
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Analysis of functioning of ecosystems primarily structured by managed plant communities. Managed forests, field-crop agroecosystems, rangelands, aquatic systems. Structure-function relations. Roles of biodiversity in productivity, resource-use efficiency, nutrient cycling, resilience. Emerging principles for design of sustainable managed ecosystems, provision of ecological services. prereq: Sr or grad student

ESPM 5202 - Environmental Conflict Management, Leadership, and Planning

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3202WESPM /5202
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Negotiation of natural resource management issues. Use of collaborative planning. Case study approach to conflict management, strategic planning, and building leadership qualities. Emphasizes analytical concepts, techniques, and skills.

ESPM 5211 - Survey, Measurement, and Modeling for Environmental Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3211/ESPM 5211
Typically offered:	Every Spring

Survey, measurement, and modeling concepts/methods for study of natural resources/environmental issues. Emphasizes survey design for data collection, estimation, and analysis for issues encompassing land, water, air, vegetation, wildlife, and human/social variables.

ESPM 5241 - Natural Resource and Environmental Policy

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3241W/ESPM 5241
Typically offered:	Every Spring

Political processes at play in management of environment and how disagreements are addressed by different stakeholders, private-sector interests, government agencies and institutions, communities, and nonprofit organizations. prereq: Grad student or instr consent

ESPM 5242 - Methods for Environmental and Natural Resource Policy Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 4242/ESPM 5242
Grading Basis:	A-F only
Typically offered:	Fall Even Year

Methods, formal and informal, for analyzing environmental and natural resource policies. How to critically evaluate policies, using economic and non-economic decision-making criteria. Application of policy analysis principles/concepts to environmental/natural resource problems. Recognizing politically-charged environment in which decisions over use, management, and protection of these resources often occur. prereq: grad student

ESPM 5251 - Natural Resources in Sustainable International Development

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3251/ESPM 5251/LAS 3251
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

International perspectives on resource use in developing countries. Integration of natural resource issues with social, economic, and policy considerations. Agriculture, forestry, agroforestry, non-timber forest products, water resources, certification, development issues. Latin American case studies. prereq: Grad student or instr consent

ESPM 5261 - Economics and Natural Resources Management

Credits:	4.0 [max 4.0]
Course Equivalencies:	ESPM 3261/ESPM 5261
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Microeconomic principles and their application to natural resource management problems. Economic and policy tools to address market failures. Discussion of regulatory and market-based instruments. Discounting and compounding concepts. Methods for conducting financial and economic analyses of natural resource management projects. Decision criteria when conducting benefit/cost analysis of natural resource projects. Methods for valuing non-market natural resource goods and services. Economics of managing renewable natural resources such as forests and fisheries. Land economics. Payments for environmental services. Planning and management problems. Case studies.

ESPM 5295 - GIS in Environmental Science and Management

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Application of geographic information science and technologies (GIS) in complex environmental problems. Students gain experience in spatial data collection, database development, and spatial analysis, including GNSS and field attribute collection, image interpretation, and existing data fusion, raster/vector data integration and analysis, information extraction from LiDAR data, DEM conditioning and hydrologic analysis, neighborhood analysis, bulk processing and automation, and scripting. Problems vary depending on topics, often with extra-University partners. *Please note that students should have completed a semester-long, introductory lab/lecture GIS course at the graduate or undergraduate level before enrolling in this course, e.g., FNRM 5131. We do not require any given course because students come from varied universities and backgrounds. That said, we assume a knowledge commensurate with a comprehensive introductory course. Students seeking a first course are directed to FNRM 5131. If you have questions regarding your capabilities, please contact the instructor prior to enrolling.

ESPM 5603 - Environmental Life Cycle Analysis

Credits:	3.0 [max 3.0]
Course Equivalencies:	ESPM 3603/ESPM 5603
Grading Basis:	A-F only
Typically offered:	Every Fall

Concepts, major issues relating to inventory and subsequent analysis of production systems. Production system from holistic point of view, using term commonly used in industrial ecology: "the metabolic system." prereq: [Math 1142 or [Math 1271, Math 1282]], [Econ 1101 or ApEc 1101]

FNRM 5104 - Forest Ecology

Credits:	4.0 [max 4.0]
Course Equivalencies:	FNRM 3104/FNRM 5104
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Form and function of forests as ecological systems. Characteristics and dynamics of species, populations, communities, landscapes, and ecosystem processes. Examples applying ecology to forest management. Weekly discussions on research topics, exercises, and current issues in forest resource management. Required weekend field trip. Introductory biology course recommended.

FNRM 5131 - Geographical Information Systems (GIS) for Natural Resources

Credits:	4.0 [max 4.0]
Course Equivalencies:	FNRM 3131/FNRM 5131/FR 3131/
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Geographic information systems (GIS), focusing on spatial data development and analysis in the science and management of natural resources. Basic data structures, sources, collection, and quality; geodesy and map projections; spatial and tabular data analyses; digital elevation data and terrain analyses; cartographic modeling and layout. Lab exercises provide practical experiences complementing theory covered in lecture. prereq: Grad student or instr consent

FNRM 5204 - Landscape Ecology and Management

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3204/FNRM 5204
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Introduction to landscape ecology at different scales in time/space. Development/implications of broad-scale patterns of ecological phenomena, role of disturbance in ecosystems. Characteristic spatial/temporal scales of ecological events. Principles of landscape ecology as framework for landscape research, analysis, conservation, and management. prereq: Grad student or instr consent

FNRM 5262 - Remote Sensing and Geospatial Analysis of Natural Resources and Environment

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3262/FNRM 5262
Typically offered:	Every Fall & Spring

Introductory principles and techniques of remote sensing and geospatial analysis applied to mapping and monitoring land and water resources from local to global scales. Examples of applications include: Land cover mapping and change detection, forest and natural resource inventory, water quality monitoring, and global change analysis. The lab provides hands-on experience working with satellite, aircraft, and drone imagery, and image processing methods and software. Prior coursework in Geographic Information Systems and introductory Statistics is recommended. prereq: Grad student or instr consent

FNRM 5411 - Managing Forest Ecosystems: Silviculture

Credits:	3.0 [max 3.0]
Course Equivalencies:	FNRM 3411/FNRM 5411
Grading Basis:	A-F only
Typically offered:	Every Fall

Management of forest ecosystems for sustaining ecological integrity, soil productivity, water quality, wildlife habitat, biological diversity, commodity production in landscape context. Silvics, forest dynamics, disturbances, regeneration, restoration, silvicultural systems. Ramifications of management choices. Weekend field trip. FEMC track students should take FNRM 5413 concurrently. prereq: grad student

FNRM 8101 - Research Problems: Physiological Ecology

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8102 - Research Problems: Forest-Tree Genetics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8103 - Research Problems: Forest Hydrology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8104 - Research Problems: Forest Ecology

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8105 - Research Problems: Silviculture

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8106 - Research Problems: Urban Forestry--Biology and Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8201 - Research Problems: Forest Economics

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8202 - Research Problems: Forest Biometry and Measurements

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8203 - Research Problems: Forest Recreation

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8204 - Research Problems: Forest Policy

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8205 - Research Problems: Spatial Data Analysis

Credits:	1.0 -5.0 [max 10.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8206 - Research Problems: Forest Management

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance.

FNRM 8207 - Economic Analysis of Natural Resource Projects

Credits:	1.0 -5.0 [max 5.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FNRM 8208 - Research Problems: Environmental Learning and Leadership

Credits:	1.0 -5.0 [max 5.0]
Typically offered:	Every Fall, Spring & Summer

Independent research under faculty guidance. prereq: instr consent

FW 4001 - Biometry

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

This course covers the basic foundations of statistical methods. In contrast to traditional methods of teaching statistics based on analytical formulas and hand-calculations, we will initially emphasize simulation-based methods (randomization tests, bootstrapping) for analyzing data. Students will learn how to implement common statistical methods (e.g., one and two sample tests, interval estimation techniques, linear regression) in the R programming language, and gain experience analyzing real data from a variety of fields, with particular emphasis on biological examples and applications.

FW 4101 - Herpetology

Credits:	4.0 [max 4.0]
Typically offered:	Spring Odd Year

Reptiles/amphibians, their systematics, behavior, ecology, physiology, development, and morphology. Diversity of reptiles/amphibians. Focuses on Minnesota fauna. Lab. prereq: BIOL 1001 or BIOL 2012

FW 4103 - Principles of Wildlife Management

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

This course covers the ecological basis for management of wildlife, including biological and sociological factors that influence management. Goals include: understanding the ecological mechanisms influencing the distribution and abundance of wildlife, learning the ecological and historical foundations of wildlife management and the ecological and social ramifications of management actions, thinking critically and logically about current wildlife issues, honing writing skills, and developing technical skills in key areas. prereq: Intro biology course, [jr or sr]

FW 5003 - Human Dimensions of Biological Conservation

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Survey of social, psychological, economic, policy aspects of managing/conserving wildlife, fisheries, and related resources. prereq: [Biol 1001 or Biol 1009], Biol 3407

FW 5051 - Analysis of Populations

Credits:	4.0 [max 4.0]
Course Equivalencies:	EEB/FW 5051
Typically offered:	Every Spring

Regulation, growth, general dynamics of populations. Data needed to describe populations, population growth, population models, regulatory mechanisms. prereq: [4001 or STAT 3011 or ESPM 3012], [EEB 3407 or EEB 3408W or EEB 3807], Senior or grad student

FW 5603W - Habitats and Regulation of Wildlife (WI)

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Environmental interactions of wildlife at population/community levels. Environmental threats from human activities. Habitat management practices. Objectives, policies, regulations in population management. prereq: [FW 4102 or FW 4103], [EEB 3407 or EEB 3408 or EEB 3807]

FW 5625 - Wildlife Handling and Immobilization for Research and Management

Credits:	2.0 [max 2.0]
Grading Basis:	S-N or Aud
Typically offered:	Every Spring

Practical techniques to maximize human/animal safety and encourage effective operations. Preparation procedures, legal responsibilities, capture drugs/delivery systems, safety measures, ethical issues, basic veterinary procedures for handling wildlife. Field course. Uses live animals. prereq: General biology, [grad student or vet med student or FW sr]

FW 8051 - Statistical Modeling of Ecological Data using R and WinBugs/JAGS

Credits:	4.0 [max 4.0]
Prerequisites:	Graduate-level statistics class, [working knowledge of program R or #]
Typically offered:	Every Spring

Regression methods for modeling ecological data. Real world examples from ecology, as well as environmental/natural resource sciences/management. Computer-based solutions using R/Bayesian modeling software. prereq: Graduate-level statistics class, [working knowledge of program R or instr consent]

FW 8200 - Seminar

Credits:	1.0 -4.0 [max 16.0]
Grading Basis:	S-N or Aud
Typically offered:	Every Fall & Spring

Oral and written student reports on selected topics from current literature in fisheries biology and management and wildlife. Lectures by and discussions with faculty and visiting specialists.

FW 8452 - Conservation Biology

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Seminar examining population- to system-level biological issues (genetics; demographic processes; community, ecosystem, and landscape scale interaction; restoration ecology; ex situ strategies for restoration and recovery) and societal issues (social, economic, cultural perspectives; sustainable development strategies; roles of institutions; international and U.S. policies).

FW 8494 - Research in Wildlife

Credits:	1.0 -4.0 [max 4.0]
Typically offered:	Every Fall

Directed research. prereq: instr consent

GIS 5555 - Basic Spatial Analysis

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

How to use spatial data to answer questions on a wide array of social, natural, and information science issues. Exploratory data analysis/visualization. Spatial autocorrelation analysis/regression. prereq: [STAT 3001 or equiv, MGIS student] or instr consent

GRAD 8101 - Teaching in Higher Education

Credits:	3.0 [max 3.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Fall, Spring & Summer

Teaching methods/techniques. Active learning, critical thinking, practice teaching, and preparing a portfolio to document/reflect upon teaching. Readings, discussion, peer teaching, e-mail dialog, reflective writing, co-facilitation of course. prereq: Non-Degree Students: contact pffcollege consentumn.edu with questions about registration. If adding a section after first class meeting, contact your instructor as soon as you enroll.

GRAD 8200 - Teaching and Learning Topics in Higher Education

Credits:	1.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Create course materials for context/discipline. Assess student learning. Write action plan. Topics may include active learning in sciences, teaching with technology, multicultural education, teaching in clinical settings, learning-community course design.

NR 5021 - Statistics for Agricultural and Natural Resource Professionals

Credits:	3.0 [max 3.0]
Course Equivalencies:	AnSc 3011/ESPM 3012/NR 5021/St
Typically offered:	Every Spring

This course is designed for graduate students in the agricultural, environmental, natural resources, and other related programs that require an understanding of statistics and applied quantitative research. Course content focuses on data analysis approaches using common statistical methods, e.g., probability and distributions, simple linear, multiple, and logistic regression, linear models, and analysis of variance. This course is completely online and asynchronous. prereq: College algebra or instructor consent

OLPD 5061 - Ethnographic Research Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall, Spring & Summer

This course introduces students to knowledge and skills appropriate for the conduct of ethnographic research. Underlying purposes, assumptions, and distinctive characteristics of ethnographic methods will be examined as well as appropriate exemplars. Accordingly, the course emphasizes links between research purposes, the conceptualization of ethnographic projects and the development of researchable questions. The course also takes up a variety of ethical and political issues related to working with participants during the research process, as well as contemporary trustworthiness criteria for ethnographic written accounts. The bulk of the course is given to training in observation, generating field notes, developing interview questions, interviewing, collecting material cultural artifacts, using surveys, and analyzing, interpreting, and writing up ethnographic data. The first part of the course focuses on a critical discussion of ethnographic research purposes, epistemological assumptions, and essential features. Students choose and explore a published ethnographic study from their field of interest. The second part of the course is devoted to a very small scale ethnographic project which students design and carry out themselves. This project is supported by relevant readings and in-class activities (including peer review) related to the actual conduct of ethnographic research.

PA 5002 - Introduction to Policy Analysis

Credits:	1.5 [max 1.5]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Process of public policy analysis from problem structuring to communication of findings. Commonly used analytical methods. Alternative models of analytical problem resolution.

PA 5031 - Statistics for Public Affairs

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Basic statistical tools for empirical analysis of public policy alternatives. Frequency distributions, descriptive statistics, elementary probability/probability distributions, statistical inference. Estimation/hypothesis testing. Cross-tabulation/chi-square distribution. Analysis of variance, correlation. Simple/multiple regression analysis.

PA 5041 - Qualitative Methods for Policy Analysts

Credits:	4.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Qualitative analysis techniques, examples of application. Meet with researcher. Hands-on experience in designing, gathering, analyzing data.

PA 5920 - Skills Workshop

Credits:	0.5 -4.0 [max 48.0]
Typically offered:	Every Fall & Spring

Topics on public policy or planning skills. Topics specified in Class Schedule.

PMB 4321 - Minnesota Flora

Credits:	3.0 [max 3.0]
Typically offered:	Fall Even Year

Practical skills for identifying plant species/surveying Minnesota vegetation to students of biology, environmental sciences, resource management, horticulture. Integrates botany, ecology, evolution, earth history, climate, global change in context of local plant communities. Labs/Saturday field trips explore Minnesota plants/plant communities. prereq: One semester college biology

POL 8126 - Qualitative Methods

Credits:	3.0 [max 3.0]
Typically offered:	Fall Even, Spring Odd Year

Qualitative methods in social science. Hands-on training through fieldwork projects. Interviewing, participant observation, narrative interpretation, ethical problems. Issues of gender/race in fieldwork. prereq: Grad student

PUBH 6420 - Introduction to SAS Programming

Credits:	1.0 [max 1.0]
Typically offered:	Periodic Fall & Summer

Use of SAS for analysis of biomedical data. Data manipulation/description. Basic statistical analyses (t-tests, chi-square, simple regression).

PUBH 7250 - Designing and Conducting Focus Group Interviews

Credits:	1.0 [max 1.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Spring & Summer

Interactive, intensive overview of focus group procedures for public/non-profit environments. Practical approaches to determining appropriate use of focus groups. Design options, developing questions, recruiting participants, moderating. Analyzing/reporting results.

PUBH 7407 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Contingency tables, odds ratio, relative risk, chi-square tests, log-linear models, logistic regression, conditional logistic regression, Poisson regression, matching, generalized linear models for independent data. SAS/S-Plus used throughout. prereq: 7405, [Stat 5102 or concurrent registration is required (or allowed) in Stat 5102 or Stat 8102 or concurrent registration is required (or allowed) in Stat 8102]

SOC 5811 - Social Statistics for Graduate Students

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall

In this course, students will learn core statistical and computations principles that will allow them to perform quantitative analyses using social data. The course is designed for social science students at the beginning of their graduate school careers. However, advanced undergraduates can take the course, which will involve a few modifications to the assignment schedule. Sociology 5811 will review basic probability, and then move on to univariate inference, the linear regression model, and introductory lessons of causal inference. In doing so, students will explore statistical concepts and methods that provide the foundation sociologists use to most commonly collect and analyze numerical evidence. Sociology 5811 will also provide the foundation for data management and statistical inference using Stata, a statistical computing environment that is popular in the social sciences. prereq: Undergraduate students are expected to have familiarity with the materials taught in the equivalent of 3811. Students who are unsure of the course requirements should contact the instructor. Undergraduates with a strong math background are encouraged to register for 5811 in lieu of 3811. Soc majors must register A-F. 5811 is a good social statistics foundation course for MA students from other programs. 5811 will not count for credits towards the Soc PhD program requirements.

SOC 8801 - Sociological Research Methods

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall & Spring

Multiple objectives of social research and how they inform research design. Conceptualization and measurement of complex concepts. Broad issues in research design and quantitative and qualitative approaches to data collection and management. prereq: Grad soc major or instr consent

SOC 8811 - Advanced Social Statistics

Credits:	4.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall & Spring

Statistical methods for analyzing social data. Sample topics: advanced multiple regression, logistic regression, limited dependent variable analysis, analysis of variance and covariance, log-linear models, structural equations, and event history analysis. Applications to datasets using computers. prereq: recommend 5811 or equiv; graduate student or instr consent

STAT 5021 - Statistical Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall & Spring

Intensive introduction to statistical methods for graduate students needing statistics as a research technique. prereq: college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011

STAT 5102 - Theory of Statistics II

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall & Spring

Sampling, sufficiency, estimation, test of hypotheses, size/power. Categorical data. Contingency tables. Linear models. Decision theory. prereq: [5101 or Math 5651 or instr consent]

STAT 5201 - Sampling Methodology in Finite Populations

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Simple random, systematic, stratified, unequal probability sampling. Ratio, model based estimation. Single stage, multistage, adaptive cluster sampling. Spatial sampling. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5302 - Applied Regression Analysis

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications. prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.

STAT 5303 - Designing Experiments

Credits:	4.0 [max 4.0]
Typically offered:	Every Fall, Spring & Summer

Analysis of variance. Multiple comparisons. Variance-stabilizing transformations. Contrasts. Construction/analysis of complete/incomplete block designs. Fractional factorial designs. Confounding split plots. Response surface design. prereq: 3022 or 3032 or 3301 or 4102 or 5021 or 5102 or instr consent

STAT 5401 - Applied Multivariate Methods

Credits:	3.0 [max 3.0]
Typically offered:	Periodic Fall

Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering. pre-req: STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.

STAT 5421 - Analysis of Categorical Data

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Varieties of categorical data, cross-classifications, contingency tables. Tests for independence. Combining 2x2 tables. Multidimensional tables/loglinear models. Maximum-likelihood estimation. Tests for goodness of fit. Logistic regression. Generalized linear/multinomial-response models. prereq: STAT 3022 or 3032 or 3301 or 5302 or 4051 or 8051 or 5102 or 4102

STAT 5601 - Nonparametric Methods

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall & Spring

Order statistics. Classical rank-based procedures (e.g., Wilcoxon, Kruskal-Wallis). Goodness of fit. Topics may include smoothing, bootstrap, and generalized linear models. prereq: Stat classes 3032 or 3022 or 4102 or 5021 or 5102 or instr consent

STAT 8051 - Advanced Regression Techniques: linear, nonlinear and nonparametric methods

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Linear/generalized linear models, modern regression methods including nonparametric regression, generalized additive models, splines/basis function methods, regularization, bootstrap/other resampling-based inference. prereq: Statistics grad or instr consent

STAT 8052 - Applied Statistical Methods 2: Design of Experiments and Mixed -Effects Modeling

Credits:	3.0 [max 3.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Design experiments/analyze data with fixed effects, random/mixed effects models. ANOVA for factorial designs. Contrasts, multiple comparisons, power/sample size, confounding, fractional factorials. Computer-generated designs. Response surfaces. Multi-level models. Generalized estimating equations (GEE) for longitudinal data with non-normal errors. prereq: 8051 or instr consent

STAT 8053 - Applied Statistical Methods 3: Multivariate Analysis and Advanced Regression

Credits:	3.0 [max 3.0]
Prerequisites:	PhD student in stat or DGS permission and 8052
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Standard multivariate analysis. Multivariate linear model, classification, clustering, principal components, factor analysis, canonical correlation. Topics in advanced regression. prereq: PhD student in stat or DGS permission and 8052

STAT 8054 - Statistical Methods 4: Advanced Statistical Computing

Credits:	3.0 [max 3.0]
Prerequisites:	STAT 8053 or #
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Optimization, numerical integration, Markov chain Monte Carlo, related topics. prereq: STAT 8053 or instr consent

STAT 8101 - Theory of Statistics 1

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall

Review of linear algebra. Introduction to probability theory. Random variables, their transformations/expectations. Standard distributions, including multivariate Normal distribution. Probability inequalities. Convergence concepts, including laws of large numbers, Central Limit Theorem. delta method. Sampling distributions. prereq: Statistics grad major or instr consent

STAT 8102 - Theory of Statistics 2

Credits:	3.0 [max 3.0]
Typically offered:	Every Spring

Statistical inference. Sufficiency. Likelihood-based methods. Point estimation. Confidence intervals. Neyman Pearson hypothesis testing theory. Introduction to theory of linear models. prereq: 8101, Statistics graduate major or instr consent

WRIT 5051 - Graduate Research Writing for International Students

Credits:	3.0 [max 3.0]
Typically offered:	Every Fall, Spring & Summer

Graduate research writing emphasizes writing techniques, structures, style, and formal language for scholarly writing including research proposals and abstracts, critiques/reviews, and thesis/dissertations and publications. Special focus on field-specific scholarly expectations, documentation, structure/style, grammar, formal or scholarly vocabulary, and extensive revising/editing based on instructor and mentor feedback to meet graduate standards. Discussions. prereq: Grad student

University Catalogs

Natural Resources Science and Management Ph.D.