Twin Cities campus

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Twin Cities Campus

Geographic Information Science Minor

Geography, Environment, Society
College of Liberal Arts
Link to a list of faculty for this program.
Contact Information
Department of Geography, 414 Social Sciences Building, 267 19th Avenue South, Minneapolis, MN 55455 (612-624-1498; fax: 612-624-1044).
Email: mgis@umn.edu
Website: http://cla.umn.edu/mgis
  • Program Type: Graduate minor related to major
  • Requirements for this program are current for Spring 2018
  • Length of program in credits (master's): 9
  • Length of program in credits (doctoral): 12
  • This program does not require summer semesters for timely completion.
The professional master of geographic information science (MGIS), administered by the Department of Geography, offers a master's and doctoral minor.
Program Delivery
  • via classroom (the majority of instruction is face-to-face)
Prerequisites for Admission
For an online application or for more information about graduate education admissions, see the General Information section of this website.
Program Requirements
Use of 4xxx courses towards program requirements is not permitted.
A graduate minor is developed in consultation with the M.G.I.S. director of graduate studies.
Program Sub-plans
Students are required to complete one of the following sub-plans.
Students may not complete the program with more than one sub-plan.
Masters
Required Course
GEOG 5561 - Principles of Geographic Information Science (4.0 cr)
or FNRM 5131 - Geographical Information Systems (GIS) for Natural Resources (4.0 cr)
Electives
Take 5 or more credit(s) from the following:
· CSCI 5715 - From GPS, Google Maps, and Uber to Spatial Data Science (3.0 cr)
· CSCI 8715 - Spatial Data Science Research (3.0 cr)
· ESPM 5031 - Applied Global Positioning Systems for Geographic Information Systems (3.0 cr)
· ESPM 5295 - GIS in Environmental Science and Management (4.0 cr)
· FNRM 5262 - Remote Sensing and Geospatial Analysis of Natural Resources and Environment (3.0 cr)
· FNRM 5462 - Advanced Remote Sensing and Geospatial Analysis (3.0 cr)
· FNRM 8205 - Research Problems: Spatial Data Analysis (1.0-5.0 cr)
· GEOG 5511 - Principles of Cartography (4.0 cr)
· GEOG 5562 - GIS Development Practicum (3.0 cr)
· GEOG 5563 - Advanced Geographic Information Science (3.0 cr)
· GEOG 5564 - Urban Geographic Information Science and Analysis (3.0 cr)
· GEOG 5565 {Inactive} (3.0 cr)
· GEOG 8290 - Seminar in GIS and Cartography (3.0 cr)
· GEOG 8291 - Seminar in GIS, Technology, and Society (3.0 cr)
· GEOG 8292 - Seminar in GIS: Spatial Analysis and Modeling (3.0 cr)
· GIS 5555 - Basic Spatial Analysis (3.0 cr)
· GIS 5571 - ArcGIS I (3.0 cr)
· GIS 5572 - ArcGIS II (3.0 cr)
· GIS 5574 - Web GIS and Services (3.0 cr)
· GIS 5575 {Inactive} (2.0 cr)
· GIS 5577 - Spatial Database Design and Administration (3.0 cr)
· GIS 5578 - GIS Programming (3.0 cr)
· VMED 5181 - Spatial Analysis in Infectious Disease Epidemiology (3.0 cr)
Doctoral
Required Course
GEOG 5561 - Principles of Geographic Information Science (4.0 cr)
or FNRM 5131 - Geographical Information Systems (GIS) for Natural Resources (4.0 cr)
Electives
Take 8 or more credit(s) from the following:
· CSCI 5715 - From GPS, Google Maps, and Uber to Spatial Data Science (3.0 cr)
· CSCI 8715 - Spatial Data Science Research (3.0 cr)
· ESPM 5031 - Applied Global Positioning Systems for Geographic Information Systems (3.0 cr)
· ESPM 5295 - GIS in Environmental Science and Management (4.0 cr)
· FNRM 5262 - Remote Sensing and Geospatial Analysis of Natural Resources and Environment (3.0 cr)
· FNRM 5462 - Advanced Remote Sensing and Geospatial Analysis (3.0 cr)
· FNRM 8205 - Research Problems: Spatial Data Analysis (1.0-5.0 cr)
· GEOG 5511 - Principles of Cartography (4.0 cr)
· GEOG 5562 - GIS Development Practicum (3.0 cr)
· GEOG 5563 - Advanced Geographic Information Science (3.0 cr)
· GEOG 5564 - Urban Geographic Information Science and Analysis (3.0 cr)
· GEOG 5565 {Inactive} (3.0 cr)
· GEOG 8290 - Seminar in GIS and Cartography (3.0 cr)
· GEOG 8291 - Seminar in GIS, Technology, and Society (3.0 cr)
· GEOG 8292 - Seminar in GIS: Spatial Analysis and Modeling (3.0 cr)
· GIS 5555 - Basic Spatial Analysis (3.0 cr)
· GIS 5571 - ArcGIS I (3.0 cr)
· GIS 5572 - ArcGIS II (3.0 cr)
· GIS 5574 - Web GIS and Services (3.0 cr)
· GIS 5575 {Inactive} (2.0 cr)
· GIS 5577 - Spatial Database Design and Administration (3.0 cr)
· GIS 5578 - GIS Programming (3.0 cr)
· VMED 5181 - Spatial Analysis in Infectious Disease Epidemiology (3.0 cr)
 
More program views..
View college catalog(s):
· College of Liberal Arts

View future requirement(s):
· Fall 2023
· Fall 2022
· Fall 2020
· Fall 2019
· Fall 2018

View sample plan(s):
· Geographic Information Science Sample Plan
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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
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
CSCI 5715 - From GPS, Google Maps, and Uber to Spatial Data Science
Credits: 3.0 [max 3.0]
Typically offered: Spring Even Year
Spatial databases and querying, spatial big data mining, spatial data-structures and algorithms, positioning, earth observation, cartography, and geo-visulization. Trends such as spatio-temporal, and geospatial cloud analytics, etc. prereq: Familiarity with Java, C++, or Python
CSCI 8715 - Spatial Data Science Research
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Motivation, models of spatial information, querying spatial data, processing strategies for spatial queries, multi-dimensional storage/access methods, spatial graph datasets, spatial data mining, trends (e.g., spatio-temporal databases, mobile objects, raster databases), research literature, how to pursue research. prereq: 4707 or 5707 or 5715 or GIS 5571 or GIS 5573
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 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.
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 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
GEOG 5511 - Principles of Cartography
Credits: 4.0 [max 4.0]
Course Equivalencies: Geog 3511/Geog 5511
Typically offered: Every Fall
GEOG 3511/5511 is a basic introduction to cartography?the art, science, and technology of maps and map making. Our primary emphasis will be on map making, with lesser emphasis on cartographic research and the history of cartography. Lectures will focus on modern cartographic design principles, how they were developed, and how they might be changing. Lab assignments help develop skills using digital tools for producing effective maps. The course has several specific learning objectives: ? use software to create maps that communicate their subjects appropriately and effectively using sound cartographic design principles ? acquire or produce a base map that is appropriate in scale, projection, and generalization ? select and aggregate data appropriately to represent on a map using a suitable symbolization strategy ? gain an understanding of how current changes in technology impact maps and map making ? understand how fundamental design decisions might differ for printed maps and web/mobile maps ? understand how contemporary GIS and cartography are interrelated, including the use of GIS becoming ubiquitous and map making becoming increasingly available to anyone ? gain an appreciation for the 3,500+ year history of maps!
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 5563 - Advanced Geographic Information Science
Credits: 3.0 [max 3.0]
Typically offered: Every Fall & Spring
Advanced study of geographic information systems (GIS). Topics include spatial data models, topology, data encoding, data quality, database management, spatial analysis tools and visualization techniques. Hands-on experience using an advanced vector GIS package. prereq: B or better in 3561 or 5561 or instr consent
GEOG 5564 - Urban Geographic Information Science and Analysis
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall
Core concepts in urban geographic information science including sources for urban geographical and attribute data (including census data), urban data structures (focusing on the TIGER data structure), urban spatial analyses (including location-allocation models), geodemographic analysis, network analysis, and the display of urban data. prereq: 3561 or 5561
GEOG 8290 - Seminar in GIS and Cartography
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Selected concepts/methods. Topics, which vary yearly, include spatial analysis methods in GIS; advanced visualization methods; data quality and error propagation in GIS; generalization methods in GIS and cartography; role of time in GIS; interactive/animated cartography; incorporation of uncertainty. prereq: instr consent
GEOG 8291 - Seminar in GIS, Technology, and Society
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Relationships between practice of GIS and political, economic, legal, institutional structures of society. Effects of GIS on society. Nontraditional spaces in GIS. GIS and local decision making. Privacy issues. prereq: instr consent
GEOG 8292 - Seminar in GIS: Spatial Analysis and Modeling
Credits: 3.0 [max 3.0]
Typically offered: Spring Even Year
Overview of Geographic Information Systems (GIS) and spatial analysis/modeling of human/environmental systems. Spatial statistics, modeling spatiotemporal processes, simulation techniques, visualization, complex systems/complexity. Guidance in thesis/dissertation research. prereq: 3511 [or equiv statistics course], [3561 or 5561 or equiv intro GIS course] or 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
GIS 5574 - Web GIS and Services
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Plan, design, develop, publish web-based GIS solution. Build websites, prepare data for web. Commercial software, Open Source software, volunteer geographic information, open GIS standards/developing web GIS application. Hands-on experience with variety of web GIS technologies/software. prereq: [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
VMED 5181 - Spatial Analysis in Infectious Disease Epidemiology
Credits: 3.0 [max 3.0]
Grading Basis: OPT No Aud
Typically offered: Every Spring
Spatial distribution of disease events. Exposures/outcomes. Factors that determine where diseases occur. Analyzing spatial disease data in public health, geography, epidemiology. Focuses on human/animal health related examples. prereq: Intro to epidemiology, statistics,
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
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
CSCI 5715 - From GPS, Google Maps, and Uber to Spatial Data Science
Credits: 3.0 [max 3.0]
Typically offered: Spring Even Year
Spatial databases and querying, spatial big data mining, spatial data-structures and algorithms, positioning, earth observation, cartography, and geo-visulization. Trends such as spatio-temporal, and geospatial cloud analytics, etc. prereq: Familiarity with Java, C++, or Python
CSCI 8715 - Spatial Data Science Research
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Motivation, models of spatial information, querying spatial data, processing strategies for spatial queries, multi-dimensional storage/access methods, spatial graph datasets, spatial data mining, trends (e.g., spatio-temporal databases, mobile objects, raster databases), research literature, how to pursue research. prereq: 4707 or 5707 or 5715 or GIS 5571 or GIS 5573
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 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.
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 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
GEOG 5511 - Principles of Cartography
Credits: 4.0 [max 4.0]
Course Equivalencies: Geog 3511/Geog 5511
Typically offered: Every Fall
GEOG 3511/5511 is a basic introduction to cartography?the art, science, and technology of maps and map making. Our primary emphasis will be on map making, with lesser emphasis on cartographic research and the history of cartography. Lectures will focus on modern cartographic design principles, how they were developed, and how they might be changing. Lab assignments help develop skills using digital tools for producing effective maps. The course has several specific learning objectives: ? use software to create maps that communicate their subjects appropriately and effectively using sound cartographic design principles ? acquire or produce a base map that is appropriate in scale, projection, and generalization ? select and aggregate data appropriately to represent on a map using a suitable symbolization strategy ? gain an understanding of how current changes in technology impact maps and map making ? understand how fundamental design decisions might differ for printed maps and web/mobile maps ? understand how contemporary GIS and cartography are interrelated, including the use of GIS becoming ubiquitous and map making becoming increasingly available to anyone ? gain an appreciation for the 3,500+ year history of maps!
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 5563 - Advanced Geographic Information Science
Credits: 3.0 [max 3.0]
Typically offered: Every Fall & Spring
Advanced study of geographic information systems (GIS). Topics include spatial data models, topology, data encoding, data quality, database management, spatial analysis tools and visualization techniques. Hands-on experience using an advanced vector GIS package. prereq: B or better in 3561 or 5561 or instr consent
GEOG 5564 - Urban Geographic Information Science and Analysis
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall
Core concepts in urban geographic information science including sources for urban geographical and attribute data (including census data), urban data structures (focusing on the TIGER data structure), urban spatial analyses (including location-allocation models), geodemographic analysis, network analysis, and the display of urban data. prereq: 3561 or 5561
GEOG 8290 - Seminar in GIS and Cartography
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Selected concepts/methods. Topics, which vary yearly, include spatial analysis methods in GIS; advanced visualization methods; data quality and error propagation in GIS; generalization methods in GIS and cartography; role of time in GIS; interactive/animated cartography; incorporation of uncertainty. prereq: instr consent
GEOG 8291 - Seminar in GIS, Technology, and Society
Credits: 3.0 [max 3.0]
Typically offered: Periodic Fall & Spring
Relationships between practice of GIS and political, economic, legal, institutional structures of society. Effects of GIS on society. Nontraditional spaces in GIS. GIS and local decision making. Privacy issues. prereq: instr consent
GEOG 8292 - Seminar in GIS: Spatial Analysis and Modeling
Credits: 3.0 [max 3.0]
Typically offered: Spring Even Year
Overview of Geographic Information Systems (GIS) and spatial analysis/modeling of human/environmental systems. Spatial statistics, modeling spatiotemporal processes, simulation techniques, visualization, complex systems/complexity. Guidance in thesis/dissertation research. prereq: 3511 [or equiv statistics course], [3561 or 5561 or equiv intro GIS course] or 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
GIS 5574 - Web GIS and Services
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Plan, design, develop, publish web-based GIS solution. Build websites, prepare data for web. Commercial software, Open Source software, volunteer geographic information, open GIS standards/developing web GIS application. Hands-on experience with variety of web GIS technologies/software. prereq: [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
VMED 5181 - Spatial Analysis in Infectious Disease Epidemiology
Credits: 3.0 [max 3.0]
Grading Basis: OPT No Aud
Typically offered: Every Spring
Spatial distribution of disease events. Exposures/outcomes. Factors that determine where diseases occur. Analyzing spatial disease data in public health, geography, epidemiology. Focuses on human/animal health related examples. prereq: Intro to epidemiology, statistics,