This course is designed to introduce you to the study of society and what sociologists call the "sociological imagination:" a way of viewing the events, relationships and social phenomena that shape our individual lives and much of our collective experience. Through the course we will examine some of the central concepts and problems that have preoccupied both classical and contemporary sociologists and gain a sense of how the sociological imagination can illuminate the social forces that have a concrete impact on our everyday lives. Throughout the course you will be asked to consider the ways in which society affects your life, and how you, in turn, affect society. prereq: Soc Majors/Minors must register A-F

This course is designed to introduce you to the study of society and what sociologists call the "sociological imagination:" a way of viewing the events, relationships, and social phenomena that shape our individual lives and much of our collective experience. Through the course we will examine some of the central concepts and problems that have preoccupied both classical and contemporary sociologists and gain a sense of how the sociological imagination can illuminate the social forces that have a concrete impact on our everyday lives. Throughout the course you will be asked to consider the ways in which society affects your life and how you, in turn, affect society.

This course introduces students to a sociological account of the U.S. criminal justice system. We will critically examine the components, dynamics, and effects of policing, criminal courts, community supervision, jails, and prisons. Throughout the course, we focus on sociological understandings of these processes, with particular attention to ethnic, racial, class, and gender inequalities as well as long-term problems associated with the high rate of criminal justice supervision in the U.S. prereq: [SOC 1001] recommended, Sociology majors/minors must register A-F

This course will address the social and legal origins of crime and crime control with a focus on general theories of deviance/crime and present an overview of forms of social control. We will critically examine criminological, sociological and legal theories that explain the causes of crime and other misdeeds. prereq: Soc majors/minors must register A-F

This course provides an introductory overview of major social theories ranging from the foundational sociological theories of Marx, Weber and Durkheim to contemporary theories of postmodernism and globalization. We will examine a range of theories with particular attention to their treatments of core sociological questions and concerns. prereq: 1001 recommended; soc majors/minors must register A-F

This course provides an introduction to the materials and methods of social science research in a comprehensive and critical way. The course begins by introducing social science research, including philosophical and theoretical foundations. The course then covers the primary components of research design, including conceptualization, operationalization and measurement, primary and secondary data collection and sources, sampling, and the logic of comparison(s). prereq: 1001 recommended; soc majors must register A-F

This course will introduce majors and non-majors to basic statistical measures and procedures that are used to describe and analyze quantitative data in sociological research. The topics include (1) frequency and percentage distributions, (2) central tendency and dispersion, (3) probability theory and statistical inference, (4) models of bivariate analysis, and (5) basics of multivariate analysis. Lectures on these topics will be given in class, and lab exercises are designed to help students learn statistical skills and software needed to analyze quantitative data provided in the class. prereq: Undergraduates with strong math background are encouraged to register for 5811 in lieu of 3811 (Soc 5811 offered Fall terms only). Soc Majors/Minors must register A-F.

Rigorous analysis of algorithms/implementation. Algorithm analysis, sorting algorithms, binary trees, heaps, priority queues, heapsort, balanced binary search trees, AVL trees, hash tables and hashing, graphs, graph traversal, single source shortest path, minimum cost spanning trees. prereq: [(1913 or 1933) and 2011] or instr consent; cannot be taken for grad CSci cr

Data analysis/quantitative methods in economics. Violation of classical regression model assumptions, modified estimation procedures that retain desirable properties. Multi-equation models. Computer applications/interpretation of empirical results. prereq: (ECON 1101 or ECON 1165, APEC 1101), (ECON 1102 or APEC 1102), ECON 3101, MATH 1271, (STAT 3011 or 3021), (STAT 3022 or 3032) or equivalent courses approved by the Economics Department

For Econ B.S. majors only. Review of basic linear regression model, its variants. Time series/simultaneous equation models. Material may include panel data, censored/truncated regressions, discrete choice models. prereq: (ECON 1101 or ECON 1165, APEC 1101), ECON 1102 (or APEC 1102), ECON 3101, MATH 1271, MATH 1272, MATH 2243, MATH 2263, STAT 4101 (or 5101), STAT 4102 (or 5102) or equivalent courses approved by the Economics Department.

Systems of linear equations, vector spaces, subspaces, bases, linear transformations, matrices, determinants, eigenvalues, canonical forms, quadratic forms, applications. prereq: 2243 or 2373 or 2573

Classical cryptosystems. One-time pads, perfect secrecy. Public key ciphers: RSA, discrete log. Euclidean algorithm, finite fields, quadratic reciprocity. Message digest, hash functions. Protocols: key exchange, secret sharing, zero-knowledge proofs. Probablistic algorithms: pseudoprimes, prime factorization. Pseudo-random numbers. Elliptic curves. prereq: 2 sems soph math

Advanced two-dimensional Euclidean geometry from a vector viewpoint. Theorems/problems about triangles/circles, isometries, connections with Euclid's axioms. Hyperbolic geometry, how it compares with Euclidean geometry. prereq: [2243 or 2373 or 2573], [concurrent registration is required (or allowed) in 2263 or concurrent registration is required (or allowed) in 2374 or concurrent registration is required (or allowed) in 2574]

Logical development of probability, basic issues in statistics. Probability spaces, random variables, their distributions/expected values. Law of large numbers, central limit theorem, generating functions, sampling, sufficiency, estimation. prereq: [2263 or 2374 or 2573], [2243 or 2373]; [2283 or 2574 or 3283] recommended.

Basic topics in graph theory: connectedness, Eulerian/Hamiltonian properties, trees, colorings, planar graphs, matchings, flows in networks. Optional topics include graph algorithms, Latin squares, block designs, Ramsey theory. prereq: [2243 or 2373 or 2573], [2263 or 2374 or 2574]; [2283 or 3283 or experience in writing proofs] highly recommended; Credit will not be granted if credit has been received for: 4707

This is an introductory course in statistics whose primary objectives are to teach students the theory of elementary probability theory and an introduction to the elements of statistical inference, including testing, estimation, and confidence statements. prereq: Math 1272

Practical survey of applied statistical inference/computing covering widely used statistical tools. Multiple regression, variance analysis, experiment design, nonparametric methods, model checking/selection, variable transformation, categorical data analysis, logistic regression. prereq: 3011 or 3021 or SOC 3811

Random variables/distributions. Generating functions. Standard distribution families. Data summaries. Sampling distributions. Likelihood/sufficiency. prereq: Math 1272 or Math 1372 or Math 1572H

Estimation. Significance tests. Distribution free methods. Power. Application to regression and to analysis of variance/count data. prereq: STAT 4101

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

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.

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

This course is an introduction to the theories, data, and methods of Educational Psychology most relevant to understanding student thinking and learning. The first third of the course reviews those aspects of cognitive development that are foundational for education. The second third considers how cognitive psychology informs questions of learning, memory, knowledge, and transfer. With this background in place, the final third of the course will focus on the classroom: on instruction, motivation, individual differences, and group differences. The course concludes by considering the neural correlates of classroom learning.

Science influences us daily, shaping how we understand ourselves and interpret nature. This course is an introduction to how scientists reason about the world, what that means for our lives, and the status of science as a human activity. What is science and what?s so great about it? Is science the ultimate authority on the world and our place in it? This course examines the authority of science, how scientists reason, and science?s status as a human activity. prereq: One course in philosophy or natural science

Types of measurements (tests, scales, inventories) and their construction. Theory/measurement of reliability/validity. prereq: 3801H or MATH 1271 or grad student

Faculty guided and self directed research experience at junior/senior level. This is designed to: a) provide students with an opportunity to reflect on what they have learned as a sociology major; b) use that knowledge to write a sociological analyses; and c) think about how the knowledge, skills, and insights of the sociological enterprise can be used and applied outside of the University. Through this one:one capstone experience majors will emphasize the relationship between a sociological perspective and critical thinking, effective communication, and meaningful civil engagement. This Capstone Experience: Directed Research is to include but not limited to: bi-weekly meetings, literature review, multiple drafts and revisions, etc. prereq: 1001, 3701, 3801, 3811, at least 12 cr upper div sociology electives, dept & instructor consent.

This course is designed to: a) provide students with an opportunity to reflect on what they have learned as a sociology major; b) use that knowledge to write a sociological analyses - often based on community service learning; and c) think about how the knowledge, skills, and insights of the sociological enterprise can be used and applied outside of the University. Through this course sociology majors will emphasize the relationship between a sociological perspective and critical thinking, effective communication, and meaningful civic engagement. This class is the final step in the sociology undergraduate major. prereq: 1001, 3701, 3801, 3811, 12 cr upper div sociology, dept consent

Guided individual research for the sociology major's Capstone requirement, conducted in conjunction with enrollment in an upper division sociology elective. This is designed to: a) provide students with an opportunity to reflect on what they have learned as a sociology major; b) use that knowledge to write a sociological analyses; and c) think about how the knowledge, skills, and insights of the sociological enterprise can be used and applied outside of the University. Through this one:one capstone experience, using the structure and foundation of the 6th Sociology elective, majors will emphasize the relationship between a sociological perspective and the emphasis of the course. The final paper created for 4994W is in addition to the other 6th Sociology elective course requirements. prereq: 1001/1011V, 3701, 3801, 3811, and at least 12 cr upper div sociology electives; dept & instructor consent. Students are only authorized to register for Soc 4994W in conjunction with a 6th Sociology Elective.

This is the first course in the two-course Honors Capstone Experience. This course sequence is designed to: a) provide students with an opportunity to reflect on what they have learned as a sociology major; b) use that knowledge to write a sociological analyses; and c) think about how the knowledge, skills, and insights of the sociological enterprise can be used and applied outside of the University. Through this course students will learn to emphasize the relationship between a sociological perspective and critical thinking, research, effective communication, and meaningful civic engagement. Soc 4977V is devoted to honing the research question and method, developing a plan for data gathering, and to identifying, reading, and synthesizing existing scholarly work that will inform the student?s research. The Sociology Department requires completion of Soc 4977V/4978V to graduate with Latin Honors. prereq: 1001/1011V, 3701, 3801, 3811, at least 9 upper-division SOC credits; Sociology honors major & department consent

This is the second course in the two-course Honors Capstone Experience. In Soc 4978V, students will complete their data collection and analysis while the focus of the seminar turns to scholarly writing, and particularly to drafting and refining arguments. The Department of Sociology does not make any initial distinction between Honors students who are seeking cum laude, magna cum laude, or summa cum laude levels of Latin Honors. Instead, our focus is on helping students to develop ambitious and high-quality original research papers of which they can be justifiably proud and which can serve as testaments to their abilities. The Department of Sociologys approach is to support every Honors student as they plan and conduct summa-level work. The ultimate recommendation for level of latin honors is made by the committee at the time of the thesis defense. In addition to the Honors thesis requirements, the recommendation for summa-level honors is reserved for the papers that demonstrate the following criteria: - Tight integration between a clearly defined question or thesis and the research presented; - Ambitious original research design, with research completed on time and analyzed appropriately; - Integration of ongoing conversations in the research literature into the design and analysis of the data gathered; - Powerful and precise prose which weaves together evidence and argument and which is attentive to both the lessons and limits of the data. Students will do an Oral Defense and participate in a panel presentation at the spring Sociological Research Institute (SRI). The Sociology Department requires completion of Soc 4977V/4978V to graduate with Latin Honors. prereq: 1001/1011V, 3701, 3801, 3811, 4977V, and at least 12 upper-division SOC credits; Sociology honors major & department consent