Program Details : University Catalogs : University of Minnesota

ACCT 8801 - Topics in Empirical Research I

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

Capital-markets stream of empirical research in accounting. Accounting earnings and stock prices, earnings-based security valuation (theoretical and empirical), estimation of earnings-based risk measures, market anomalies, and related topics from corporate finance. Econometric techniques in market-based empirical research/application to data analysis. prereq: Business admin PhD student or instr consent

ACCT 8802 - Topics in Empirical Research II

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

Empirical capital markets research topics course. The course is designed to include current research topics in capital markets that are cutting-edge and topics in the instructor's area of expertise. Topics will vary with each offering.

ACCT 8803 - Topics in Empirical Research III

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

The course is designed to include current research topics in Empirical Research that are cutting-edge and topics in the instructor's area of expertise. Topics will vary with each offering.

ACCT 8811 - Topics in Information Economics I

Credits:	2.0 [max 4.0]
Typically offered:	Periodic Fall & Spring

Asymmetric information, incentives, and contracts. Moral hazard, adverse selection, reputation, and signaling phenomena. Applications to accounting such as transfer pricing, budgeting, cost allocations, performance measurement, audit pricing. prereq: Business admin PhD student or instr consent

ACCT 8812 - Topics in Information Economics II

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

Information in capital markets; asset pricing with asymmetric information; economics of disclosure and information acquisition. prereq: Business admin PhD student or instr consent

ACCT 8813 - Topics in Information Economics III

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

Asymmetric information, incentives, and contracts. Moral hazard, adverse selection, reputation, and signaling phenomena. Applications to accounting such as transfer pricing, budgeting, cost allocations, performance measurement, audit pricing.

ACCT 8821 - Topics in Capital Markets I

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

Auction markets; price formation in experimental asset markets; experimental studies of information transfer and capital market efficiency; experimental tests of strategic behavior, trust, and reciprocity.

ACCT 8822 - Topics in Capital Markets II

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

Heuristics and biases in information processing, auditor judgment, mental accounting, and decision aids.

ACCT 8823 - Topics in Capital Markets III

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

PhD seminar course concentrating on current topics in Capital Markets.

ACCT 8831 - Topics in Analytical Research I

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

The course is designed to include current analytical research topics that are cutting-edge and topics in the instructor's area of expertise. Topics will vary with each offering.

ACCT 8832 - Analytical Research Topics II

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

The course is designed to include current analytical research topics that are cutting-edge and topics in the instructor's area of expertise. Topics will vary with each offering.

ACCT 8833 - Topics in Analytical Research III

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

PhD seminar course focusing on current topics in Analytical Research

ACCT 8892 - Readings in Accounting

Credits:	1.0 -8.0 [max 16.0]
Typically offered:	Every Fall, Spring & Summer

Readings appropriate to an individual student's program or objectives that are not available in regular courses. prereq: Business admin PhD student or instr consent

ACCT 8894 - Research in Accounting

Credits:	1.0 -8.0 [max 16.0]
Typically offered:	Every Fall, Spring & Summer

Individual research on an approved topic appropriate to student's program and objectives. prereq: Business admin PhD student or instr consent

APEC 8001 - Applied Microeconomic Analysis of Consumer Choice and Consumer Demand

Credits:	2.0 [max 2.0]
Course Equivalencies:	ApEc 8001/Econ 8001/Econ 8101
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

The course provides a rigorous 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. The optimization theories and economic models are developed with and without uncertainty. Part of four-course, year-long sequence (APEC 8001-2-3-4) prereq: [[5151 or ECON 3101 or ECON 5151 or intermediate microeconomic theory], [[MATH 2243, MATH 2263] or equiv]] or instr consent

APEC 8002 - Applied Microeconomic Analysis of Production and Choice Under Uncertainty

Credits:	2.0 [max 2.0]
Course Equivalencies:	ApEc 8002/Econ 8002/Econ 8102
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

The course provides a rigorous mathematical treatment of cost-benefit analysis in terms of 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. The optimization theories and economic models are developed with and without uncertainty. The course also explores the theory of price determination in competitive, monopoly, and monopsony markets. Part of four-course, year-long sequence (APEC 8001-2-3-4) prereq: [[8001 or ECON 8001 or ECON 8101], [[MATH 2243, MATH 2263] or equiv]] or instr consent

APEC 8003 - Applied Microeconomic Analysis of Game Theory and Information

Credits:	2.0 [max 2.0]
Course Equivalencies:	ApEc 8003/Econ 8003/Econ 8103
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 strategic interactions between consumers and producers (game theory) and information affect prices, resource allocation, and welfare. The optimization theories and economic models are developed in the contexts of both market and nonmarket goods and services. Part of four-course, year-long sequence (APEC 8001-2-3-4). prereq: [[8002 or ECON 8002 or ECON 8102], [[MATH 2243, MATH 2263] or equiv]] 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 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

CSOM 8101 - Methods and Topics in Applied Economics

Credits:	2.0 -4.0 [max 4.0]
Typically offered:	Every Spring

Intermediate methods/topics in business research.

ECON 8003 - Microeconomic Analysis

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

Theories of consumer demand, producer supply, and market equilibrium; general equilibrium and welfare. Sample topics: externalities, economics of information and uncertainty, and game theory. This seven-week course meets with 4163. prereq: 8002

ECON 8004 - Microeconomic Analysis

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

Theories of consumer demand, producer supply, and market equilibrium; general equilibrium and welfare. Sample topics: externalities, economics of information and uncertainty, and game theory. This seven-week course meets with 4164. prereq: 8003

ECON 8205 - Applied Econometrics

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

Application in research, including classical and Bayesian approaches; formulation, comparison, and use of models and hypotheses; inference and prediction in structural models; simulation methods. Seven-week course. prereq: Math 4242 or equiv, concurrent registration is required (or allowed) in Econ 8101, concurrent registration is required (or allowed) in Econ 8105, concurrent registration is required (or allowed) in Stat 5101 or instr consent

FINA 8802 - Theory of Capital Markets I: Discrete Time

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

Modern asset pricing theory. Static/discrete time frameworks. Fundamental asset pricing equation. Classical finance models: CAPM, consumption-based CAPM, Complete markets, representative agent, Pareto prereq: [Econ 8101, Econ 8102, business admin PhD student] or instr consent

FINA 8812 - Corporate Finance I

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

Corporate control, managerial incentives, corporate governance, capital structure. What assets are collected within firm. What determines boundaries of firm. Empirical evidence in support of theoretical models. Modern theories of firm, based on incomplete contracts. How corporate finance decisions expand/limit scope of firm. prereq: [Econ 8103, Econ 8104, business admin PhD student] or instr consent

FINA 8813 - Corporate Finance II

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

Theoretical corporate finance. Initial public offering, dividend policy. Financial distress and its resolution. Financial intermediation, applications of auctions in finance. prereq: [8812, business admin PhD student] or instr consent

FINA 8822 - Empirical Methods in Finance

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

Empirical techniques in analysis of financial markets, how they are applied to actual market data. Statistical properties of asset returns, efficient markets hypothesis. Empirical tests of asset pricing models (CAPM, APT, Intertemporal CAPM, Consumption CAPM). Tests of conditional asset pricing models. prereq: 8802, 8803

FINA 8823 - Empirical Corporate Finance

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

Current empirical research on corporate finance. Mergers/acquisitions, equity offerings, event studies, tests of market efficiency, impact of corporate governance, compensation policies, initial public offerings. prereq: 8802, 8803

MATH 4603 - Advanced Calculus I

Credits:	4.0 [max 4.0]
Course Equivalencies:	Math 4606/Math 5615/Math 5616
Typically offered:	Every Fall, Spring & Summer

Axioms for the real numbers. Techniques of proof for limits, continuity, uniform convergence. Rigorous treatment of differential/integral calculus for single-variable functions. prereq: [[2243 or 2373], [2263 or 2374]] or 2574 or instr consent

MATH 4604 - Advanced Calculus II

Credits:	4.0 [max 4.0]
Course Equivalencies:	Math 4604/Math 5616
Typically offered:	Every Spring

Sequel to MATH 4603. Topology of n-dimensional Euclidean space. Rigorous treatment of multivariable differentiation and integration, including chain rule, Taylor's Theorem, implicit function theorem, Fubini's Theorem, change of variables, Stokes' Theorem. prereq: 4603 or 5615 or instr consent

MATH 5651 - Basic Theory of Probability and Statistics

Credits:	4.0 [max 4.0]
Course Equivalencies:	Math 5651/Stat 5101
Typically offered:	Every Fall & Spring

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.

PUBH 6325 - Data Processing with PC-SAS

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

Introduction to methods for transferring/processing existing data sources. Emphasizes hands-on approach to pre-statistical data processing and analysis with PC-SAS statistical software with a Microsoft Windows operating system.

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 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

FINA 8802 - Theory of Capital Markets I: Discrete Time

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

Modern asset pricing theory. Static/discrete time frameworks. Fundamental asset pricing equation. Classical finance models: CAPM, consumption-based CAPM, Complete markets, representative agent, Pareto prereq: [Econ 8101, Econ 8102, business admin PhD student] or instr consent

FINA 8803 - Theory of Capital Markets II: Continuous Time

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

Continuous-time financial economics. Emphasizes mathematical/statistical tools. Ito processes, Girsanov?s theorem, risk-neutral pricing. How to formulate/analyze continuous-time models. prereq: [Econ 8101, Econ 8102, Bbsiness admin PhD student] or instr consent

FINA 8804 - Advanced Continuous Time Finance

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

Pricing of fixed income securities, optimal capital structure, general equilibrium. Classic/current papers in continuous-time literature. prereq: 8802, 8803

FINA 8810 - Topics in Asset Pricing

Credits:	2.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Fall Even Year

Current topics in asset pricing literature. Students read papers on these topics, rederive the main results, identify the main assumptions and thus identify ideas on how to improve upon the current literature. prereq: Business admin PhD student or instr consent

FINA 8812 - Corporate Finance I

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

Corporate control, managerial incentives, corporate governance, capital structure. What assets are collected within firm. What determines boundaries of firm. Empirical evidence in support of theoretical models. Modern theories of firm, based on incomplete contracts. How corporate finance decisions expand/limit scope of firm. prereq: [Econ 8103, Econ 8104, business admin PhD student] or instr consent

FINA 8813 - Corporate Finance II

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

Theoretical corporate finance. Initial public offering, dividend policy. Financial distress and its resolution. Financial intermediation, applications of auctions in finance. prereq: [8812, business admin PhD student] or instr consent

FINA 8820 - Topics in Corporate Finance

Credits:	2.0 [max 4.0]
Grading Basis:	A-F or Aud
Typically offered:	Fall Odd Year

Current topics in corporate finance literature. Students read current papers, rederive the main results, identify the main assumptions and thus identify ideas on how to improve on the current literature. prereq: Business admin PhD student or instr consent

FINA 8822 - Empirical Methods in Finance

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

Empirical techniques in analysis of financial markets, how they are applied to actual market data. Statistical properties of asset returns, efficient markets hypothesis. Empirical tests of asset pricing models (CAPM, APT, Intertemporal CAPM, Consumption CAPM). Tests of conditional asset pricing models. prereq: 8802, 8803

FINA 8823 - Empirical Corporate Finance

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

Current empirical research on corporate finance. Mergers/acquisitions, equity offerings, event studies, tests of market efficiency, impact of corporate governance, compensation policies, initial public offerings. prereq: 8802, 8803

FINA 8890 - Seminar: Finance Topics

Credits:	2.0 -4.0 [max 16.0]
Grading Basis:	A-F only
Typically offered:	Every Fall & Spring

Current topics/problems of interest considered in depth. Topics vary. prereq: [[8802, 8812, 8822, 8823] or equiv], business admin student] or instr consent. No first year students to enroll.

ECON 8101 - Microeconomic Theory

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

Decision problems faced by the household and firm; theories of choice under conditions of certainty and uncertainty. Partial equilibrium analysis of competition and monopoly. General equilibrium analysis. Welfare economics: economic efficiency of alternative market structures, social welfare functions. Dynamics: stability of markets, capital theory. Seven-week course. prereq: 5151 or equiv, Math 2243 or equiv, concurrent registration is required (or allowed) in Math 5615 or concurrent registration in Math 8601, grad econ major or instr consent

ECON 8102 - Microeconomic Theory

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

Decision problems faced by the household and firm; theories of choice under conditions of certainty and uncertainty. Partial equilibrium analysis of competition and monopoly. General equilibrium analysis. Welfare economics: economic efficiency of alternative market structures, social welfare functions. Dynamics: stability of markets, capital theory. Seven-week course. prereq: 8101, concurrent registration is required (or allowed) in Math 5615 or concurrent registration is required (or allowed) in Math 8601, grad econ major or instr consent

ECON 8103 - Microeconomic Theory

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

Decision problems faced by the household and firm; theories of choice under conditions of certainty and uncertainty. Partial equilibrium analysis of competition and monopoly. General equilibrium analysis. Welfare economics: economic efficiency of alternative market structures, social welfare functions. Dynamics: stability of markets, capital theory. Seven-week course. prereq: 8102, concurrent registration is required (or allowed) in Math 5616 or concurrent registration is required (or allowed) in Math 8602 or comparable abstract math course, grad econ major or instr consent

ECON 8104 - Microeconomic Theory

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

Decision problems faced by the household and firm; theories of choice under conditions of certainty and uncertainty. Partial equilibrium analysis of competition and monopoly. General equilibrium analysis. Welfare economics: economic efficiency of alternative market structures, social welfare functions. Dynamics: stability of markets, capital theory. Seven-week course. prereq: 8103, concurrent registration is required (or allowed) in Math 5616 or concurrent registration is required (or allowed) in Math 8602 or comparable abstract math course, grad econ major or instr consent

ACCT 8812 - Topics in Information Economics II

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

Information in capital markets; asset pricing with asymmetric information; economics of disclosure and information acquisition. prereq: Business admin PhD student or instr consent

ACCT 8831 - Topics in Analytical Research I

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

The course is designed to include current analytical research topics that are cutting-edge and topics in the instructor's area of expertise. Topics will vary with each offering.

ACCT 8832 - Analytical Research Topics II

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

The course is designed to include current analytical research topics that are cutting-edge and topics in the instructor's area of expertise. Topics will vary with each offering.

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

ECON 8003 - Microeconomic Analysis

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

Theories of consumer demand, producer supply, and market equilibrium; general equilibrium and welfare. Sample topics: externalities, economics of information and uncertainty, and game theory. This seven-week course meets with 4163. prereq: 8002

ECON 8004 - Microeconomic Analysis

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

Theories of consumer demand, producer supply, and market equilibrium; general equilibrium and welfare. Sample topics: externalities, economics of information and uncertainty, and game theory. This seven-week course meets with 4164. prereq: 8003

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

ECON 8107 - Macroeconomic Theory

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

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 4167. prereq: 8106

ECON 8108 - Macroeconomic Theory

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

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 4168. prereq: 8107

ECON 8181 - Advanced Topics in Microeconomics

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

Faculty and student presentations based on recent literature. Seven-week course. prereq: 8104 or instr consent

ECON 8182 - Advanced Topics in Microeconomics

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

Faculty and student presentations based on recent literature. Seven-week course. prereq: 8104 or instr consent

ECON 8185 - Advanced Topics in Macroeconomics

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

Faculty and student presentations based on recent literature. Seven-week course. prereq: 8108 or instr consent

ECON 8191 - Workshop in Mathematical Economics

Credits:	1.0 [max 10.0]
Typically offered:	Every Fall

Students conduct research and present papers under faculty supervision. prereq: 8104 or instr consent

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 8205 - Applied Econometrics

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

Application in research, including classical and Bayesian approaches; formulation, comparison, and use of models and hypotheses; inference and prediction in structural models; simulation methods. Seven-week course. prereq: Math 4242 or equiv, concurrent registration is required (or allowed) in Econ 8101, concurrent registration is required (or allowed) in Econ 8105, concurrent registration is required (or allowed) in Stat 5101 or instr consent

ECON 8206 - Applied Econometrics

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

Application in research, including classical and Bayesian approaches; formulation, comparison, and use of models and hypotheses; inference and prediction in structural models; simulation methods. Seven-week course. prereq: 8205, concurrent registration is required (or allowed) in 8102, concurrent registration is required (or allowed) in 8106, concurrent registration is required (or allowed) in Stat 5101 or instr consent

ECON 8207 - Applied Econometrics

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

Application in research, including classical and Bayesian approaches; formulation, comparison, and use of models and hypotheses; inference and prediction in structural models; simulation methods. Seven-week course. prereq: 8206, concurrent registration is required (or allowed) in 8103, concurrent registration is required (or allowed) in 8107, concurrent registration is required (or allowed) in Stat 5102 or instr consent

ECON 8208 - Applied Econometrics

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

Application in research, including classical and Bayesian approaches; formulation, comparison, and use of models and hypotheses; inference and prediction in structural models; simulation methods. Seven-week course. prereq: 8207, concurrent registration is required (or allowed) in 8104, concurrent registration is required (or allowed) in 8108, concurrent registration is required (or allowed) in Stat 5102 or instr consent

ECON 8211 - Econometrics

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

Linear regression; general linear hypotheses; Gauss Markov Theorem, generalized least squares and their applications. Decision-theoretic choice among estimators. Simultaneous equations models; identification and estimation. Asymptotic distribution theory. Applications, including multivariate time series models and/or limited dependent variables models. Seven-week course. prereq: 5151, 5152, Math 4242 or equiv, Stat 5102 or instr consent

ECON 8212 - Econometrics

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

Linear regression; general linear hypotheses; Gauss Markov Theorem, generalized least squares and their applications. Decision-theoretic choice among estimators. Simultaneous equations models; identification and estimation. Asymptotic distribution theory. Applications, including multivariate time series models and/or limited dependent variables models. Seven-week course. prereq: 8211

ECON 8501 - Wages and Employment

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

Economic analysis of labor markets and their operation under conditions of both individual and collective bargaining. Implications of labor market operations for resource allocation, wage and price stability, income and employment growth. Wage structures and wage levels. Wage and employment theories and practices. Economic impacts of unions. Seven-week course. prereq: 8102, 8106 or instr consent

ECON 8601 - Industrial Organization and Government Regulation

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

Behavior of businesses and industries: productivity, firm size distributions, exit-entry dynamics, etc. Theories of the firm, industry structure and performance, invention and innovation, and technology adoption. Positive and normative theories of regulation. Seven-week course. prereq: 8102 or instr consent

ECON 8602 - Industrial Organization and Government Regulation

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

Behavior of businesses and industries: productivity, firm size distributions, exit-entry dynamics, etc. Theories of the firm, industry structure and performance, invention and innovation, and technology adoption. Positive and normative theories of regulation. Seven-week course. prereq: 8601 or instr consent

ECON 8701 - Monetary Economics

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

Economic role of principal financial institutions. Determinants of value of money. Principal problems of monetary policy. Seven-week course. prereq: 8103, 8106 or instr consent

ECON 8702 - Monetary Economics

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

Economic role of principal financial institutions. Determinants of value of money. Principal problems of monetary policy. Seven-week course. prereq: 8701 or instr consent

ECON 8704 - Financial Economics

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

Role of financial institutions in efficient allocation of risk; multiperiod and continuous-time securities markets; theory of firm under uncertainty; financial intermediation; derivation of empirical asset-pricing relationships; tests concerning alternative market structures. Seven-week course. prereq: 8103, 8106 or instr consent

ECON 8705 - Financial Economics

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

Role of financial institutions in efficient allocation of risk; multiperiod and continuous-time securities markets; theory of firm under uncertainty; financial intermediation; derivation of empirical asset-pricing relationships; tests concerning alternative market structures. Seven-week course. prereq: 8704 or instr consent

FINA 8892 - Independent Study in Finance

Credits:	1.0 -8.0 [max 16.0]
Typically offered:	Every Fall, Spring & Summer

Problems or developments of special interest to the student. prereq: Business admin PhD student or instr consent

FINA 8894 - Directed Research in Finance

Credits:	1.0 -8.0 [max 16.0]
Typically offered:	Every Fall & Spring

Individualized directed research on a project of interest to the student, approved and advised by faculty. prereq: Business admin PhD student specializing in finance or instr consent

MATH 8601 - Real Analysis

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

Set theory/fundamentals. Axiom of choice, measures, measure spaces, Borel/Lebesgue measure, integration, fundamental convergence theorems, Riesz representation. prereq: 5616 or instr consent

IDSC 8511 - Conceptual Topics and Research Methods in Information and Decision Sciences

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

Relationships to underlying disciplines; major research streams; seminal articles, survey literature, and major researchers. Provides framework for organizing knowledge about information and decision sciences. prereq: instr consent

IDSC 8521 - System Development

Credits:	3.0 [max 3.0]
Prerequisites:	Business admin PhD student or #
Typically offered:	Spring Even Year

Why it is hard to develop efficient/effective information systems, what can be done to improve situation. Defining efficiency/effectiveness in development process and in systems. Producing/evaluating artifacts (constructs, models, methods, tools) that enable more efficient/effective information systems to be developed. prereq: Business admin PhD student or instr consent

IDSC 8531 - Organizational Theory and Research in Information Systems

Credits:	3.0 [max 3.0]
Prerequisites:	PhD student in Business Administration
Grading Basis:	A-F only
Typically offered:	Spring Even Year

Introduction, adoption, use/exploitation of information systems in organizations. Critically examine empirical work. Formulate research questions. Conduct research. prereq: PhD student in Business Administration

IDSC 8541 - Introduction to Economics of Information Systems

Credits:	3.0 [max 3.0]
Prerequisites:	PhD student in Business Administration or #
Grading Basis:	A-F only
Typically offered:	Spring Odd Year

Classical research questions. Methods/findings that form backbone of economics of IS. Online auctions, electronic markets, offshoring, human capital issues. prereq: PhD student in Business Administration or instr consent

IDSC 8721 - Behavioral Decision Theory

Credits:	3.0 [max 3.0]
Prerequisites:	Business admin PhD student or #; offered alt yrs
Typically offered:	Periodic Fall & Spring

Traditional/current research. Major models/methodologies. Issues of preference, judgment, and choice under conditions of certainty/uncertainty. Seminar format. prereq: Business admin PhD student or instr consent; offered alt yrs

IDSC 8620 - Data Mining and Personalization

Credits:	3.0 [max 3.0]
Grading Basis:	A-F only
Typically offered:	Spring Even Year

IDSC 8620 is intended primarily for research-oriented graduate students who are interested in learning about current data mining / machine learning methodologies and how to use them in research. The course will provide a comprehensive overview of the exploratory and predictive analytics techniques, focusing on the fundamentals but covering a number of advanced issues as well, and will demonstrate how these techniques can be applied various application areas (including the increasingly important areas of text analytics and recommender systems). The course puts significant emphasis on practical, hands-on experience applying data mining techniques in different settings using real-world datasets, but will also discuss the use and value of data mining in a variety of research contexts.

IDSC 8631 - Emerging Technologies: Artificial Intelligence, Blockchain, & Virtual Reality

Credits:	2.0 [max 3.0]
Grading Basis:	A-F only
Typically offered:	Spring Odd Year

This course covers the latest research on emerging technologies such as artificial intelligence, blockchain, metaverse, and social media. Example topics include AI transparency, AI aversion, human-robot interactions, designs and mechanisms of blockchain, the impact of augmented reality and virtual reality, peer production, and online social networks. We will be reading and discussing book chapters and articles from multiple disciplines including but not limited to information systems, human-computer interaction, management, communication, and computer science.

IDSC 8801 - Research Seminar in Information and Decision Sciences

Credits:	2.0 [max 20.0]
Typically offered:	Every Spring

New areas of research, research methods, issues. prereq: Business Admin PhD student or instr consent

APEC 8001 - Applied Microeconomic Analysis of Consumer Choice and Consumer Demand

Credits:	2.0 [max 2.0]
Course Equivalencies:	ApEc 8001/Econ 8001/Econ 8101
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

The course provides a rigorous 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. The optimization theories and economic models are developed with and without uncertainty. Part of four-course, year-long sequence (APEC 8001-2-3-4) prereq: [[5151 or ECON 3101 or ECON 5151 or intermediate microeconomic theory], [[MATH 2243, MATH 2263] or equiv]] or instr consent

APEC 8002 - Applied Microeconomic Analysis of Production and Choice Under Uncertainty

Credits:	2.0 [max 2.0]
Course Equivalencies:	ApEc 8002/Econ 8002/Econ 8102
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

The course provides a rigorous mathematical treatment of cost-benefit analysis in terms of 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. The optimization theories and economic models are developed with and without uncertainty. The course also explores the theory of price determination in competitive, monopoly, and monopsony markets. Part of four-course, year-long sequence (APEC 8001-2-3-4) prereq: [[8001 or ECON 8001 or ECON 8101], [[MATH 2243, MATH 2263] or equiv]] or instr consent

APEC 8003 - Applied Microeconomic Analysis of Game Theory and Information

Credits:	2.0 [max 2.0]
Course Equivalencies:	ApEc 8003/Econ 8003/Econ 8103
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 strategic interactions between consumers and producers (game theory) and information affect prices, resource allocation, and welfare. The optimization theories and economic models are developed in the contexts of both market and nonmarket goods and services. Part of four-course, year-long sequence (APEC 8001-2-3-4). prereq: [[8002 or ECON 8002 or ECON 8102], [[MATH 2243, MATH 2263] or equiv]] or instr consent

APEC 8206 - Dynamic Optimization: Applications in Economics and Management

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

Formulation and solution of dynamic optimization problems using optimal control theory and dynamic programming. Analytical and numerical solution methods to solve deterministic and stochastic problems for various economic applications. prereq: 5151 or equiv 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 5511 - Artificial Intelligence I

Credits:	3.0 [max 3.0]
Course Equivalencies:	CSci 4511W/CSci 5511
Prerequisites:	[2041 or #], grad student
Typically offered:	Every Fall

Introduction to AI. Problem solving, search, inference techniques. Logic/theorem proving. Knowledge representation, rules, frames, semantic networks. Planning/scheduling. Lisp programming language. prereq: [2041 or instr consent], grad student

CSCI 5512 - Artificial Intelligence II

Credits:	3.0 [max 3.0]
Course Equivalencies:	CSci 5512W/CSci 5512
Typically offered:	Every Spring

Uncertainty in artificial intelligence. Probability as a model of uncertainty, methods for reasoning/learning under uncertainty, utility theory, decision-theoretic methods. prereq: [STAT 3021, 4041] or instr consent

CSCI 5521 - Machine Learning Fundamentals

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

Problems of pattern recognition, feature selection, measurement techniques. Statistical decision theory, nonstatistical techniques. Automatic feature selection/data clustering. Syntactic pattern recognition. Mathematical pattern recognition/artificial intelligence. Prereq: [2031 or 2033], STAT 3021, and knowledge of partial derivatives

CSCI 5523 - Introduction to Data Mining

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

Data pre-processing techniques, data types, similarity measures, data visualization/exploration. Predictive models (e.g., decision trees, SVM, Bayes, K-nearest neighbors, bagging, boosting). Model evaluation techniques, Clustering (hierarchical, partitional, density-based), association analysis, anomaly detection. Case studies from areas such as earth science, the Web, network intrusion, and genomics. Hands-on projects. prereq: 4041 or equiv or instr consent

CSCI 5551 - Introduction to Intelligent Robotic Systems

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

Transformations, kinematics/inverse kinematics, dynamics, control. Sensing (robot vision, force control, tactile sensing), applications of sensor-based robot control, robot programming, mobile robotics, microrobotics. prereq: 2031 or 2033 or instr consent

CSOM 8101 - Methods and Topics in Applied Economics

Credits:	2.0 -4.0 [max 4.0]
Typically offered:	Every Spring

Intermediate methods/topics in business research.

ECON 8581 - Advanced Topics in Labor Economics

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

Faculty and student presentations based on recent literature. Seven-week course. prereq: 8502 or instr consent

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 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 8264 - Advanced Multiple Regression Analysis

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

General linear model used as context for regression. Matrix algebra, multiple regression, path analysis, polynomial regression, standardized regression, stepwise solutions, analysis of variance, weighted least squares, logistic regression. prereq: [8252 or equiv], regression/ANOVA course, familiarity with statistical analysis package

EPSY 8267 - Applied Multivariate Analysis

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

Use/interpretation of results from several multivariate statistical techniques. Matrix algebra, variance/covariance, Hotelling's T2, GLM, MANOVA, MANCOVA, discriminant analysis, canonical correlations, dimensionality, principal components, latent composites, distance, hierarchical clustering. prereq: [8252 or equiv], familiarity with matrix algebra, knowledge of a computerized statistics package

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]

JOUR 8500 - Seminar: Advanced Methods Special Topics

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

Advanced topics in mass communication research methods; addresses the theoretical, conceptual, and analytical perspectives associated with advanced methodological approaches to mass communication scholarship, which may include qualitative, quantitative, ethnographic, humanistic, historical, legal, and/or social network approaches; emphasis on application of course materials to developing, analyzing, and describing data as appropriate for mass communication scholarship.

MABA 6441 - Causal Inference via Econometrics and Experimentation

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

Controlled experiments in business settings, experiment design, A/B testing; specialized statistical methodologies; fundamentals of econometrics, instrumental variable regression, propensity score matching.

MKTG 8809 - Consumer Behavior Research Methods

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

Seminar. Topics related to conceptual theories/arguments about experimental design and statistical analysis of experiments. How to design experimental research for testing hypotheses and drawing conclusions. prereq: Doctoral student or [masters programs student, instr consent]

MKTG 8842 - Quantitative Modeling I

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

Advanced readings seminar. Quantitative research in marketing. Topics from theoretical/empirical research in marketing, econometrics, and industrial organization. Classic/contemporary articles. prereq: Doctoral student or [master's program student, instr consent]

OLPD 5056 - Case Studies for Policy Research

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

This course introduces students to knowledge and skills appropriate for the conduct of rigorous case study research in educational, organizational, and other social settings. Underlying purposes and assumptions of case study methods will be examined as well as a variety of methodological approaches. The course focuses on the use of qualitative and mixed-methods approaches as these are the predominant strategies employed in contemporary case study research. Accordingly, it emphasizes links between research purposes, the conceptualization of case study projects, and the development of researchable questions. It 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 case study reports. The bulk of the course is given to training in observation, generating field notes, interviewing, collecting material cultural artifacts, using surveys, and analyzing, interpreting, and writing up case study data. The first segment of the course focuses on a critical discussion of research paradigms and epistemological assumptions of a variety of case study approaches. Students choose and critique a published case study from their field of interest. The second part of the course is devoted to a very small scale case study 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 case study research.

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 8302 - Applied Policy Analysis

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

Design/evaluation of public policies. Emphasizes market/non-market contexts. Microeconomics and welfare economics of policy analysis. Econometric tools for measurement of policy outcomes. Applications to policy problems. prereq: Intermediate microeconomics, introduction to econometrics

PSY 5018H - Mathematical Models of Human Behavior

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

Mathematical models of complex human behavior, including individual/group decision making, information processing, learning, perception, and overt action. Specific computational techniques drawn from decision theory, information theory, probability theory, machine learning, and elements of data analysis. prereq: Math 1271 or instr consent

PSY 5862 - Psychological Measurement: Theory and Methods

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

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

PSY 5993 - Research Laboratory in Psychology

Credits:	3.0 [max 18.0]
Typically offered:	Every Fall & Spring

Laboratory instruction and seminars in faculty research areas. prereq: instr consent, dept consent

PUBH 6636 - Qualitative Research Methods in Public Health Practice

Credits:	2.0 [max 2.0]
Grading Basis:	OPT No Aud
Typically offered:	Every Fall & Spring

Qualitative inquiry, selected data collection, management, analysis methods for qualitative research in public health. Current approaches to assess strength of evidence of qualitative studies in public health. Provision of practical skills that can be applied in public health settings.

PUBH 6810 - Survey Research Methods

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

Theory/application of survey research in data collection. Sampling, item development, instrument design/administration to conduct survey or be aware of issues related to design/implementation. Identification of sources of error in survey research.

PUBH 6815 - Community-based Participatory Research

Credits:	2.0 [max 2.0]
Grading Basis:	OPT No Aud
Typically offered:	Periodic Spring

This introductory course is intended for junior faculty, post-docs, graduate students and community practitioners interested in adding CBPR to their repertoire of effective approaches to understanding and addressing social and health disparities. Topics will explore the purpose and applications of CBPR; partnership formation and maintenance; issues of power, trust, race, class, and social justice; conflict resolution; ethical issues; CBPR's relationship to cultural knowledge systems, and funding CBPR projects. This is NOT a methodology course. CBPR is an approach to conducting research that is amenable to a variety of research designs and methodologies and will NOT cover topics such as survey design, quantitative methods, qualitative methods, focus groups, community needs assessment procedures, etc.

PUBH 7430 - Statistical Methods for Correlated Data

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

Correlated data arise in many situations, particularly when observations are made over time and space or on individuals who share certain underlying characteristics. This course covers techniques for exploring and describing correlated data, along with statistical methods for estimating population parameters (mostly means) from these data. The focus will be primarily on generalized linear models (both with and without random effects) for normally and non-normally distributed data. Wherever possible, techniques will be illustrated using real-world examples. Computing will be done using R and SAS. prereq: Regression at the level of PubH 6451 or PubH 7405 or Stat 5302. Familiarity with basic matrix notation and operations (multiplication, inverse, transpose). Working knowledge of SAS or R (PubH 6420).

PUBH 7440 - Introduction to Bayesian Analysis

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

Introduction to Bayesian methods. Comparison with traditional frequentist methods. Emphasizes data analysis via modern computing methods: Gibbs sampler, WinBUGS software package. prereq: [[7401 or STAT 5101 or equiv], [public health MPH or biostatistics or statistics] grad student] or instr consent

PUBH 8432 - Probability Models for Biostatistics

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

Three basic models used for stochastic processes in the biomedical sciences: point processes (emphasizes Poisson processes), Markov processes (emphasizes Markov chains), and Brownian motion. Probability structure and statistical inference studied for each process. prereq: [7450, 7407, Stat 5102, [advanced biostatstics or statistics] major] or instr consent

PUBH 8442 - Bayesian Decision Theory and Data Analysis

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

Theory/application of Bayesian methods. Bayesian methods compared with traditional, frequentist methods. prereq: [[7460 or experience with FORTRAN or with [C, S+]], Stat 5101, Stat 5102, Stat 8311, grad student in [biostatistics or statistics]] or instr consent

PUBH 8804 - Advanced Quantitative Methods Seminar

Credits:	3.0 [max 6.0]
Typically offered:	Spring Even Year

Understand/competently use advanced quantitative methods in applied social science, policy, demographic research. Methods considered largely within or related to framework of regression analysis. Effort will be made to reflect interests of class. prereq: This is an advanced, doctoral-level course. Students are expected to have completed a full year of doctoral-level introductory statistical and/or econometric classes in their respective field prior to enrolling in this course (e.g., PubH 7401-2, ApEc8211-2, SOC 8801-8811). Exceptions may be granted with instr consent.

SOC 8412 - Social Network Analysis: Theory and Methods

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

Introduction to theoretical/methodological foundations of social network analysis. Concepts/principles, measurements, computer techniques. Applications to friendships, communities, workteams, intra-/inter-organizational relations, international systems. Focuses on network visualizations.

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 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

APEC 8001 - Applied Microeconomic Analysis of Consumer Choice and Consumer Demand

Credits:	2.0 [max 2.0]
Course Equivalencies:	ApEc 8001/Econ 8001/Econ 8101
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

The course provides a rigorous 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. The optimization theories and economic models are developed with and without uncertainty. Part of four-course, year-long sequence (APEC 8001-2-3-4) prereq: [[5151 or ECON 3101 or ECON 5151 or intermediate microeconomic theory], [[MATH 2243, MATH 2263] or equiv]] or instr consent

APEC 8002 - Applied Microeconomic Analysis of Production and Choice Under Uncertainty

Credits:	2.0 [max 2.0]
Course Equivalencies:	ApEc 8002/Econ 8002/Econ 8102
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

The course provides a rigorous mathematical treatment of cost-benefit analysis in terms of 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. The optimization theories and economic models are developed with and without uncertainty. The course also explores the theory of price determination in competitive, monopoly, and monopsony markets. Part of four-course, year-long sequence (APEC 8001-2-3-4) prereq: [[8001 or ECON 8001 or ECON 8101], [[MATH 2243, MATH 2263] or equiv]] or instr consent

APEC 8003 - Applied Microeconomic Analysis of Game Theory and Information

Credits:	2.0 [max 2.0]
Course Equivalencies:	ApEc 8003/Econ 8003/Econ 8103
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 strategic interactions between consumers and producers (game theory) and information affect prices, resource allocation, and welfare. The optimization theories and economic models are developed in the contexts of both market and nonmarket goods and services. Part of four-course, year-long sequence (APEC 8001-2-3-4). prereq: [[8002 or ECON 8002 or ECON 8102], [[MATH 2243, MATH 2263] or equiv]] or instr consent

APEC 8206 - Dynamic Optimization: Applications in Economics and Management

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

Formulation and solution of dynamic optimization problems using optimal control theory and dynamic programming. Analytical and numerical solution methods to solve deterministic and stochastic problems for various economic applications. prereq: 5151 or equiv 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

CSCI 5125 - Collaborative and Social Computing

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

Introduction to computer-supported cooperative work, social computing. Technology, research methods, theory, case studies of group computing systems. Readings, hands-on experience. prereq: 5115 or instr consent

CSCI 5980 - Special Topics in Computer Science

Credits:	1.0 -3.0 [max 27.0]
Typically offered:	Periodic Fall & Spring

Lectures and informal discussions on current topics in computer science. prereq: instr consent; may be repeated for cr

CSCI 8551 - Intelligent Agents

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

Theories of intelligent agents. Agent architectures; knowledge representation, communication, cooperation, and negotiation among multiple agents; planning and learning; issues in designing agents with a physical body; dealing with sensors and actuators; world modeling. prereq: 5511 or instr consent

CSCI 8980 - Special Advanced Topics in Computer Science

Credits:	1.0 -3.0 [max 27.0]
Typically offered:	Every Fall & Spring

Lectures and informal discussions. prereq: instr consent

CSOM 8101 - Methods and Topics in Applied Economics

Credits:	2.0 -4.0 [max 4.0]
Typically offered:	Every Spring

Intermediate methods/topics in business research.

ECON 8581 - Advanced Topics in Labor Economics

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

Faculty and student presentations based on recent literature. Seven-week course. prereq: 8502 or instr consent

ECON 8601 - Industrial Organization and Government Regulation

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

Behavior of businesses and industries: productivity, firm size distributions, exit-entry dynamics, etc. Theories of the firm, industry structure and performance, invention and innovation, and technology adoption. Positive and normative theories of regulation. Seven-week course. prereq: 8102 or instr consent

ECON 8602 - Industrial Organization and Government Regulation

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

Behavior of businesses and industries: productivity, firm size distributions, exit-entry dynamics, etc. Theories of the firm, industry structure and performance, invention and innovation, and technology adoption. Positive and normative theories of regulation. Seven-week course. prereq: 8601 or instr consent

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 8264 - Advanced Multiple Regression Analysis

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

General linear model used as context for regression. Matrix algebra, multiple regression, path analysis, polynomial regression, standardized regression, stepwise solutions, analysis of variance, weighted least squares, logistic regression. prereq: [8252 or equiv], regression/ANOVA course, familiarity with statistical analysis package

EPSY 8267 - Applied Multivariate Analysis

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

Use/interpretation of results from several multivariate statistical techniques. Matrix algebra, variance/covariance, Hotelling's T2, GLM, MANOVA, MANCOVA, discriminant analysis, canonical correlations, dimensionality, principal components, latent composites, distance, hierarchical clustering. prereq: [8252 or equiv], familiarity with matrix algebra, knowledge of a computerized statistics package

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]

HRIR 8820 - Seminar: Special Topics in Work and Organizations Research

Credits:	2.0 [max 12.0]
Typically offered:	Every Spring

Contemporary theories/research on specific topics in work/ organizations. Topics vary. prereq: [Business Admin student or dept consent], grad majors must enroll A-F

IDSC 8892 - Readings in Information and Decision Sciences

Credits:	1.0 -8.0 [max 16.0]
Grading Basis:	S-N only
Typically offered:	Every Fall, Spring & Summer

Readings useful to a student's individual program and objectives that are not available through regular courses. prereq: Business admin PhD student or instr consent

IDSC 8894 - Graduate Research in Information and Decision Sciences

Credits:	1.0 -8.0 [max 16.0]
Typically offered:	Every Fall, Spring & Summer

Individual research on an approved topic appropriate to student's program and objectives. prereq: Business admin PhD student or instr consent

MGMT 8101 - PhD Seminar: Theory Building

Credits:	2.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Spring

Problem formulation, conceptual modeling, and theory building, in the social and behavioral sciences. prereq: Business admin PhD student or instr consent

MGMT 8104 - PhD Seminar: Research Design

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

Problem formulation, conceptual modeling, and research design in the social and behavioral sciences.

MGMT 8302 - Seminar in Organizational Theory

Credits:	4.0 [max 4.02]
Grading Basis:	A-F only
Typically offered:	Fall Odd Year

Major theories and current research on organizational and interorganizational topics from a macro perspective. prereq: Business admin PhD student or instr consent

MKTG 8842 - Quantitative Modeling I

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

Advanced readings seminar. Quantitative research in marketing. Topics from theoretical/empirical research in marketing, econometrics, and industrial organization. Classic/contemporary articles. prereq: Doctoral student or [master's program student, instr consent]

PA 8302 - Applied Policy Analysis

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

Design/evaluation of public policies. Emphasizes market/non-market contexts. Microeconomics and welfare economics of policy analysis. Econometric tools for measurement of policy outcomes. Applications to policy problems. prereq: Intermediate microeconomics, introduction to econometrics

PSY 5018H - Mathematical Models of Human Behavior

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

Mathematical models of complex human behavior, including individual/group decision making, information processing, learning, perception, and overt action. Specific computational techniques drawn from decision theory, information theory, probability theory, machine learning, and elements of data analysis. prereq: Math 1271 or instr consent

PSY 5862 - Psychological Measurement: Theory and Methods

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

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

PSY 5993 - Research Laboratory in Psychology

Credits:	3.0 [max 18.0]
Typically offered:	Every Fall & Spring

Laboratory instruction and seminars in faculty research areas. prereq: instr consent, dept consent

PSY 8201 - Social Cognition

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

Social psychological theory/research on social inference and reasoning processes. Psychology of prejudice/stereotyping. prereq: Psych PhD candidate

PSY 8960 - Graduate Seminar in Psychology

Credits:	1.0 -4.0 [max 36.0]
Typically offered:	Every Fall & Spring

Graduate seminar in subject of current interest in psychology. prereq: Psychology grad student or instr consent

PUBH 7430 - Statistical Methods for Correlated Data

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

Correlated data arise in many situations, particularly when observations are made over time and space or on individuals who share certain underlying characteristics. This course covers techniques for exploring and describing correlated data, along with statistical methods for estimating population parameters (mostly means) from these data. The focus will be primarily on generalized linear models (both with and without random effects) for normally and non-normally distributed data. Wherever possible, techniques will be illustrated using real-world examples. Computing will be done using R and SAS. prereq: Regression at the level of PubH 6451 or PubH 7405 or Stat 5302. Familiarity with basic matrix notation and operations (multiplication, inverse, transpose). Working knowledge of SAS or R (PubH 6420).

PUBH 7440 - Introduction to Bayesian Analysis

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

Introduction to Bayesian methods. Comparison with traditional frequentist methods. Emphasizes data analysis via modern computing methods: Gibbs sampler, WinBUGS software package. prereq: [[7401 or STAT 5101 or equiv], [public health MPH or biostatistics or statistics] grad student] or instr consent

PUBH 8432 - Probability Models for Biostatistics

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

Three basic models used for stochastic processes in the biomedical sciences: point processes (emphasizes Poisson processes), Markov processes (emphasizes Markov chains), and Brownian motion. Probability structure and statistical inference studied for each process. prereq: [7450, 7407, Stat 5102, [advanced biostatstics or statistics] major] or instr consent

PUBH 8442 - Bayesian Decision Theory and Data Analysis

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

Theory/application of Bayesian methods. Bayesian methods compared with traditional, frequentist methods. prereq: [[7460 or experience with FORTRAN or with [C, S+]], Stat 5101, Stat 5102, Stat 8311, grad student in [biostatistics or statistics]] or instr consent

PUBH 8804 - Advanced Quantitative Methods Seminar

Credits:	3.0 [max 6.0]
Typically offered:	Spring Even Year

Understand/competently use advanced quantitative methods in applied social science, policy, demographic research. Methods considered largely within or related to framework of regression analysis. Effort will be made to reflect interests of class. prereq: This is an advanced, doctoral-level course. Students are expected to have completed a full year of doctoral-level introductory statistical and/or econometric classes in their respective field prior to enrolling in this course (e.g., PubH 7401-2, ApEc8211-2, SOC 8801-8811). Exceptions may be granted with instr consent.

SOC 8412 - Social Network Analysis: Theory and Methods

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

Introduction to theoretical/methodological foundations of social network analysis. Concepts/principles, measurements, computer techniques. Applications to friendships, communities, workteams, intra-/inter-organizational relations, international systems. Focuses on network visualizations.

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 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

MKTG 8809 - Consumer Behavior Research Methods

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

Seminar. Topics related to conceptual theories/arguments about experimental design and statistical analysis of experiments. How to design experimental research for testing hypotheses and drawing conclusions. prereq: Doctoral student or [masters programs student, instr consent]

MKTG 8810 - Consumer Behavior Special Topics

Credits:	2.0 [max 8.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall & Spring

Topics related to the fundamentals of consumer behavior such as attitudes, behavioral research methods, branding, consumer well-being, decision making, information processing, and perceptions. See "Class Notes" for details. prereq: Doctoral student or [master's program student, instr consent]

MKTG 8811 - Consumer Attitudes and Persuasion I

Credits:	2.0 [max 2.0]
Typically offered:	Fall Odd, Spring Even Year

Reading, discussing, and evaluating theories of consumer attitudes and persuasion. Theoretical analysis, rather than practitioner focus. prereq: [[MBA 6210 or equiv], business admin PhD student] or instr consent

MKTG 8812 - Consumer Attitudes and Persuasion II

Credits:	2.0 [max 2.0]
Grading Basis:	A-F or Aud
Typically offered:	Fall Odd, Spring Even Year

Science of persuasion. Principles of stickiness--universal principles that lead messages to succeed rather than fail. Principles of influence--universal psychological principles that motivate a person to say "yes." prereq: Doctoral student or instr consent

MKTG 8813 - Consumer Judgment and Decision Making I

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

Different theoretical approaches taken in judgment and decision-making research. Heuristics/biases, affect in decision making, judgments/decisions over time. prereq: Doctoral student or [master's program student, instr consent]

MKTG 8814 - Decisions Making, Emotions and Unconscious Processes

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

Decision biases, emotion theories and how they relate to decision making, unconscious processes, and measurements of these processes. prereq: Doctoral student or [master's program student, instr consent]

MKTG 8831 - Seminar: Inter-Organizational Relations

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

From an efficiency perspective, inter-organizational networks involved in task of moving goods and services from point of production to point of consumption. Literature covering the functional, institutional, analytical, and methodological traditions, as well as the behavioral school of thought and transaction cost and relational contracting. prereq: business admin PhD student or instr consent

MKTG 8842 - Quantitative Modeling I

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

Advanced readings seminar. Quantitative research in marketing. Topics from theoretical/empirical research in marketing, econometrics, and industrial organization. Classic/contemporary articles. prereq: Doctoral student or [master's program student, instr consent]

MKTG 8843 - Empirical Quantitative Models

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

Advanced readings seminar. Quantitative research in marketing. Topics from theoretical/empirical research streams in marketing, econometrics, and industrial organization. Classic/contemporary articles. prereq: Doctoral student or [master's program student, instr consent]

MKTG 8851 - Seminar: Marketing Management and Strategy I

Credits:	2.0 [max 2.0]
Typically offered:	Periodic Fall & Spring

Topics in marketing management and formulation and implementation of marketing strategies. Diversity of thought, within marketing and strategic management literature. prereq: [[MBA 6210 or equiv], business admin PhD student] or instr consent

MKTG 8852 - Marketing Management & Strategy II

Credits:	2.0 [max 2.0]
Typically offered:	Periodic Fall & Spring

PhD seminar. Role of branding within the organization, its business strategy, and its success. Brand management. Critically evaluate fundamental ideas and more recent developments. prereq: Business admin PhD student or instr consent

MKTG 8890 - Seminar: Marketing Topics

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

Current topics and problems of interest considered in depth. Topics vary with each offering. prereq: Business admin PhD student or instr consent

ACCT 8811 - Topics in Information Economics I

Credits:	2.0 [max 4.0]
Typically offered:	Periodic Fall & Spring

Asymmetric information, incentives, and contracts. Moral hazard, adverse selection, reputation, and signaling phenomena. Applications to accounting such as transfer pricing, budgeting, cost allocations, performance measurement, audit pricing. prereq: Business admin PhD student or instr consent

ACCT 8831 - Topics in Analytical Research I

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

The course is designed to include current analytical research topics that are cutting-edge and topics in the instructor's area of expertise. Topics will vary with each offering.

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

CSOM 8101 - Methods and Topics in Applied Economics

Credits:	2.0 -4.0 [max 4.0]
Typically offered:	Every Spring

Intermediate methods/topics in business research.

ECON 8003 - Microeconomic Analysis

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

Theories of consumer demand, producer supply, and market equilibrium; general equilibrium and welfare. Sample topics: externalities, economics of information and uncertainty, and game theory. This seven-week course meets with 4163. prereq: 8002

ECON 8004 - Microeconomic Analysis

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

Theories of consumer demand, producer supply, and market equilibrium; general equilibrium and welfare. Sample topics: externalities, economics of information and uncertainty, and game theory. This seven-week course meets with 4164. prereq: 8003

ECON 8101 - Microeconomic Theory

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

Decision problems faced by the household and firm; theories of choice under conditions of certainty and uncertainty. Partial equilibrium analysis of competition and monopoly. General equilibrium analysis. Welfare economics: economic efficiency of alternative market structures, social welfare functions. Dynamics: stability of markets, capital theory. Seven-week course. prereq: 5151 or equiv, Math 2243 or equiv, concurrent registration is required (or allowed) in Math 5615 or concurrent registration in Math 8601, grad econ major or instr consent

ECON 8102 - Microeconomic Theory

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

Decision problems faced by the household and firm; theories of choice under conditions of certainty and uncertainty. Partial equilibrium analysis of competition and monopoly. General equilibrium analysis. Welfare economics: economic efficiency of alternative market structures, social welfare functions. Dynamics: stability of markets, capital theory. Seven-week course. prereq: 8101, concurrent registration is required (or allowed) in Math 5615 or concurrent registration is required (or allowed) in Math 8601, grad econ major or instr consent

ECON 8103 - Microeconomic Theory

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

Decision problems faced by the household and firm; theories of choice under conditions of certainty and uncertainty. Partial equilibrium analysis of competition and monopoly. General equilibrium analysis. Welfare economics: economic efficiency of alternative market structures, social welfare functions. Dynamics: stability of markets, capital theory. Seven-week course. prereq: 8102, concurrent registration is required (or allowed) in Math 5616 or concurrent registration is required (or allowed) in Math 8602 or comparable abstract math course, grad econ major or instr consent

ECON 8104 - Microeconomic Theory

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

Decision problems faced by the household and firm; theories of choice under conditions of certainty and uncertainty. Partial equilibrium analysis of competition and monopoly. General equilibrium analysis. Welfare economics: economic efficiency of alternative market structures, social welfare functions. Dynamics: stability of markets, capital theory. Seven-week course. prereq: 8103, concurrent registration is required (or allowed) in Math 5616 or concurrent registration is required (or allowed) in Math 8602 or comparable abstract math course, grad econ major or instr consent

ECON 8118 - Noncooperative Game Theory

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

Solution concepts for noncooperative games in normal form, including Nash and perfect equilibrium and stable sets of equilibria. Extensive form games of perfect and incomplete information, sequential equilibrium, and consequences of stability for extensive form. Applications including bargaining and auctions. Seven-week course. prereq: 8117

ECON 8119 - Cooperative Game Theory

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

Basics of cooperative game theory, emphasizing concepts used in economics. Games with and without transferable utility; the core, the value, and other solution concepts. Recent results, including potentials, reduced games, consistency, and noncooperative implementation of cooperative solution concepts. Seven-week course. prereq: 8104, Math 5616 or equiv or instr consent

ECON 8191 - Workshop in Mathematical Economics

Credits:	1.0 [max 10.0]
Typically offered:	Every Fall

Students conduct research and present papers under faculty supervision. prereq: 8104 or instr consent

ECON 8205 - Applied Econometrics

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

Application in research, including classical and Bayesian approaches; formulation, comparison, and use of models and hypotheses; inference and prediction in structural models; simulation methods. Seven-week course. prereq: Math 4242 or equiv, concurrent registration is required (or allowed) in Econ 8101, concurrent registration is required (or allowed) in Econ 8105, concurrent registration is required (or allowed) in Stat 5101 or instr consent

ECON 8206 - Applied Econometrics

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

Application in research, including classical and Bayesian approaches; formulation, comparison, and use of models and hypotheses; inference and prediction in structural models; simulation methods. Seven-week course. prereq: 8205, concurrent registration is required (or allowed) in 8102, concurrent registration is required (or allowed) in 8106, concurrent registration is required (or allowed) in Stat 5101 or instr consent

ECON 8207 - Applied Econometrics

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

Application in research, including classical and Bayesian approaches; formulation, comparison, and use of models and hypotheses; inference and prediction in structural models; simulation methods. Seven-week course. prereq: 8206, concurrent registration is required (or allowed) in 8103, concurrent registration is required (or allowed) in 8107, concurrent registration is required (or allowed) in Stat 5102 or instr consent

ECON 8208 - Applied Econometrics

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

Application in research, including classical and Bayesian approaches; formulation, comparison, and use of models and hypotheses; inference and prediction in structural models; simulation methods. Seven-week course. prereq: 8207, concurrent registration is required (or allowed) in 8104, concurrent registration is required (or allowed) in 8108, concurrent registration is required (or allowed) in Stat 5102 or instr consent

ECON 8211 - Econometrics

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

Linear regression; general linear hypotheses; Gauss Markov Theorem, generalized least squares and their applications. Decision-theoretic choice among estimators. Simultaneous equations models; identification and estimation. Asymptotic distribution theory. Applications, including multivariate time series models and/or limited dependent variables models. Seven-week course. prereq: 5151, 5152, Math 4242 or equiv, Stat 5102 or instr consent

ECON 8212 - Econometrics

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

Linear regression; general linear hypotheses; Gauss Markov Theorem, generalized least squares and their applications. Decision-theoretic choice among estimators. Simultaneous equations models; identification and estimation. Asymptotic distribution theory. Applications, including multivariate time series models and/or limited dependent variables models. Seven-week course. prereq: 8211

ECON 8601 - Industrial Organization and Government Regulation

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

Behavior of businesses and industries: productivity, firm size distributions, exit-entry dynamics, etc. Theories of the firm, industry structure and performance, invention and innovation, and technology adoption. Positive and normative theories of regulation. Seven-week course. prereq: 8102 or instr consent

ECON 8602 - Industrial Organization and Government Regulation

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

Behavior of businesses and industries: productivity, firm size distributions, exit-entry dynamics, etc. Theories of the firm, industry structure and performance, invention and innovation, and technology adoption. Positive and normative theories of regulation. Seven-week course. prereq: 8601 or instr consent

ECON 8603 - Industrial Organization and Government Regulation

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

Behavior of businesses and industries: productivity, firm size distributions, exit-entry dynamics, etc. Theories of the firm, industry structure and performance, invention and innovation, and technology adoption. Positive and normative theories of regulation. Seven-week course. prereq: 8602 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 5245 - Advanced Survey Data Analysis for Categorical and Rating Scale Data

Credits:	1.0 [max 1.0]
Typically offered:	Periodic Spring

Practical course. Specific nature of survey data (typically categorical or ordinal). Appropriate data analytic methods. prereq: 5244, 5261

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 8264 - Advanced Multiple Regression Analysis

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

General linear model used as context for regression. Matrix algebra, multiple regression, path analysis, polynomial regression, standardized regression, stepwise solutions, analysis of variance, weighted least squares, logistic regression. prereq: [8252 or equiv], regression/ANOVA course, familiarity with statistical analysis package

EPSY 8267 - Applied Multivariate Analysis

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

Use/interpretation of results from several multivariate statistical techniques. Matrix algebra, variance/covariance, Hotelling's T2, GLM, MANOVA, MANCOVA, discriminant analysis, canonical correlations, dimensionality, principal components, latent composites, distance, hierarchical clustering. prereq: [8252 or equiv], familiarity with matrix algebra, knowledge of a computerized statistics package

IDSC 8721 - Behavioral Decision Theory

Credits:	3.0 [max 3.0]
Prerequisites:	Business admin PhD student or #; offered alt yrs
Typically offered:	Periodic Fall & Spring

Traditional/current research. Major models/methodologies. Issues of preference, judgment, and choice under conditions of certainty/uncertainty. Seminar format. prereq: Business admin PhD student or instr consent; offered alt yrs

MKTG 8892 - Readings in Marketing

Credits:	1.0 -8.0 [max 16.0]
Typically offered:	Every Fall & Spring

Readings useful to student's individual program and objectives that are not available in regular courses. prereq: MBA 6210 or equiv, business admin PhD student or instr consent

MKTG 8894 - Graduate Research in Marketing

Credits:	1.0 -8.0 [max 16.0]
Typically offered:	Every Fall, Spring & Summer

Individual research on an approved topic appropriate to student's program and objectives. prereq: MBA 6210 or equiv, business admin PhD student or instr consent

MSBA 6441 - Causal Inference via Econometrics and Experimentation

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

Controlled experiments in business settings, experiment design, A/B testing. Specialized statistical methodologies. Fundamentals of econometrics, instrument variable regression, propensity score matching.

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 5204 - Psychology of Interpersonal Relationships

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

Introduction to interpersonal relationship theory/research findings. prereq: Honors or grad student or instr consent

PSY 5207 - Personality and Social Behavior

Credits:	3.0 [max 3.0]
Course Equivalencies:	Psy 4207/Psy 5207
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Conceptual/methodological strategies for scientific study of individuals and their social worlds. Applications of theory/research to issues of self, identity, and social interaction. prereq: 3101 or 3201 or honors or grad student or instr consent

PSY 5862 - Psychological Measurement: Theory and Methods

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

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

PSY 8203 - Impression Management

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

Classic and contemporary theory and research concerning interpersonal strategies of impression management and interplay between private and public self. prereq: Grad psych major; 8208 recommended; instr consent

PSY 8208 - Social Psychology: The Self

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

Social psychological theory and research concerning the self and social behavior. prereq: Psych background especially in personality and soc psych

PSY 8209 - Research Methods in Social Psychology

Credits:	3.0 [max 3.0]
Grading Basis:	A-F only
Typically offered:	Fall Odd Year

Experimental/quasi-experimental methods for research in social psychology. Statistical, interpretive, operational, and ethical issues. prereq: Psych PhD student

PSY 8935 - Readings in Behavioral Genetics and Individual Differences Psychology

Credits:	1.0 [max 10.0]
Grading Basis:	S-N or Aud
Typically offered:	Every Fall & Spring

Each week participants read and discuss one or two primary research articles. prereq: 5135, 5137 or instr consent

PSY 8960 - Graduate Seminar in Psychology

Credits:	1.0 -4.0 [max 36.0]
Typically offered:	Every Fall & Spring

Graduate seminar in subject of current interest in psychology. prereq: Psychology 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 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

CSOM 8101 - Methods and Topics in Applied Economics

Credits:	2.0 -4.0 [max 4.0]
Typically offered:	Every Spring

Intermediate methods/topics in business research.

MGMT 8102 - Research Methods I - Applied Empirical Methods

Credits:	2.0 [max 2.0]
Grading Basis:	A-F only
Typically offered:	Fall Even Year

This is a course in applied empirical methods, focusing on approaches to causal inference commonly used in strategic management and entrepreneurship research, as well as other research design and execution issues. We will discuss issues of the validity of independent and dependent measures, econometric approaches to implementing various designs. We will study these methods by reading and discussing empirical papers in strategy and entrepreneurship and by working with data in problem sets.

MGMT 8302 - Seminar in Organizational Theory

Credits:	4.0 [max 4.02]
Grading Basis:	A-F only
Typically offered:	Fall Odd Year

Major theories and current research on organizational and interorganizational topics from a macro perspective. prereq: Business admin PhD student or instr consent

MGMT 8401 - Strategy I

Credits:	2.0 [max 2.0]
Grading Basis:	A-F only
Typically offered:	Spring Odd Year

Review of research in strategy. prereq: Business admin PhD student or instr consent

MGMT 8403 - Strategy II

Credits:	2.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Spring Odd Year

This is the second strategy core course for Business admin PhD students in Strategic Management and Entrepreneurship. It will focus on both strategy content and process. prereq: Business admin PhD student or instr consent

MGMT 8501 - Seminar in Entrepreneurship

Credits:	4.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Spring Even Year

This seminar provides a broad introduction to the field of entrepreneurship. It helps students develop the skills and knowledge needed to conduct their own research within this domain. It introduces them to the theoretical and empirical foundations of the field of entrepreneurship as a scholarly discipline. It will familiarize students with key debates in the field. It will also sharpen students' conceptual and analytical skills, and help them develop their research agenda.

MGMT 8101 - PhD Seminar: Theory Building

Credits:	2.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Spring

Problem formulation, conceptual modeling, and theory building, in the social and behavioral sciences. prereq: Business admin PhD student or instr consent

MGMT 8104 - PhD Seminar: Research Design

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

Problem formulation, conceptual modeling, and research design in the social and behavioral sciences.

MGMT 8202 - Seminar in International Management

Credits:	2.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Spring Odd Year

Overview of the field of international management research. prereq: Business admin PhD student or instr consent

MGMT 8402 - Seminar in Behavioral Strategy

Credits:	2.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Fall Even Year

Designed to help doctoral students interpret and conduct research on strategic management. Will focus on research that reflects a behavioral approach to strategy. prereq: Business admin PhD student or instr consent

MGMT 8404 - Seminar in Non-Market Strategy

Credits:	2.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Fall Odd Year

This is a Ph.D. seminar in the field of nonmarket strategy, i.e., the strategies by which firms alter, influence, or adapt to their existing institutional environment in order to gain competitive advantage. Drawing on foundations in both institutional economics and institutional theory, the seminar examines a body of recent research in the field of strategic management that studies how and to what effect firms engage with political, legal, and social stakeholders. While the primary focus of the course is on the antecedents and consequences of such nonmarket strategies for firms, we shall also consider the impact of these strategies on social welfare, and the resulting implications for public policy. prereq: Business admin PhD student or instr consent

MGMT 8405 - Seminar in Technology Strategy

Credits:	2.0 [max 8.0]
Grading Basis:	A-F only
Typically offered:	Fall Even Year

This is a course that will cover theories and phenomena that are central to the field of technology strategy. The course will include readings on a broad range of topics and perspectives pertaining to firms? technology and innovation strategy. An illustrative list of readings are provided below. These readings will be grouped into required and recommended readings. The course is intended to prepare students to undertake research in technology strategy. Towards this goal students will prepare summaries of assigned readings, serve as discussion leaders for the class topics and write a research proposal (including a research question, theory and hypotheses and research design) that builds on the course concepts. prereq: PhD student 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

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.

APEC 8001 - Applied Microeconomic Analysis of Consumer Choice and Consumer Demand

Credits:	2.0 [max 2.0]
Course Equivalencies:	ApEc 8001/Econ 8001/Econ 8101
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

The course provides a rigorous 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. The optimization theories and economic models are developed with and without uncertainty. Part of four-course, year-long sequence (APEC 8001-2-3-4) prereq: [[5151 or ECON 3101 or ECON 5151 or intermediate microeconomic theory], [[MATH 2243, MATH 2263] or equiv]] or instr consent

APEC 8002 - Applied Microeconomic Analysis of Production and Choice Under Uncertainty

Credits:	2.0 [max 2.0]
Course Equivalencies:	ApEc 8002/Econ 8002/Econ 8102
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

The course provides a rigorous mathematical treatment of cost-benefit analysis in terms of 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. The optimization theories and economic models are developed with and without uncertainty. The course also explores the theory of price determination in competitive, monopoly, and monopsony markets. Part of four-course, year-long sequence (APEC 8001-2-3-4) prereq: [[8001 or ECON 8001 or ECON 8101], [[MATH 2243, MATH 2263] or equiv]] or instr consent

APEC 8003 - Applied Microeconomic Analysis of Game Theory and Information

Credits:	2.0 [max 2.0]
Course Equivalencies:	ApEc 8003/Econ 8003/Econ 8103
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 strategic interactions between consumers and producers (game theory) and information affect prices, resource allocation, and welfare. The optimization theories and economic models are developed in the contexts of both market and nonmarket goods and services. Part of four-course, year-long sequence (APEC 8001-2-3-4). prereq: [[8002 or ECON 8002 or ECON 8102], [[MATH 2243, MATH 2263] or equiv]] 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 8213 - Econometric Analysis III

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

The course introduces econometric techniques and models for analyzing economic data for discrete response variables, censored response variables, and non-random data samples. It show show these nonlinear 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

CSCI 5980 - Special Topics in Computer Science

Credits:	1.0 -3.0 [max 27.0]
Typically offered:	Periodic Fall & Spring

Lectures and informal discussions on current topics in computer science. prereq: instr consent; may be repeated for cr

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 8264 - Advanced Multiple Regression Analysis

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

General linear model used as context for regression. Matrix algebra, multiple regression, path analysis, polynomial regression, standardized regression, stepwise solutions, analysis of variance, weighted least squares, logistic regression. prereq: [8252 or equiv], regression/ANOVA course, familiarity with statistical analysis package

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]

FINA 8823 - Empirical Corporate Finance

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

Current empirical research on corporate finance. Mergers/acquisitions, equity offerings, event studies, tests of market efficiency, impact of corporate governance, compensation policies, initial public offerings. prereq: 8802, 8803

HINF 5502 - Python Programming Essentials for the Health Sciences

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

Computer programming essentials for health sciences/health care applications using Python 3. Intended for students with limited programming background, or students wishing to obtain proficiency in Python programming language. prereq: Junior or senior or grad student or professional student or instr consent

MATH 5651 - Basic Theory of Probability and Statistics

Credits:	4.0 [max 4.0]
Course Equivalencies:	Math 5651/Stat 5101
Typically offered:	Every Fall & Spring

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.

MGMT 8892 - Readings in Management Theory and Administration

Credits:	1.0 -8.0 [max 16.0]
Typically offered:	Every Fall & Spring

Intensive research on a management topic; major term paper. prereq: Business admin PhD student or instr consent, adviser consent

MGMT 8894 - Graduate Research in Management Theory and Administration

Credits:	1.0 -8.0 [max 16.0]
Typically offered:	Every Fall, Spring & Summer

Research project on a management problem of interest to student; may be completed in cooperation with a business firm. prereq: Business admin PhD student or instr consent, adviser consent

MKTG 8831 - Seminar: Inter-Organizational Relations

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

From an efficiency perspective, inter-organizational networks involved in task of moving goods and services from point of production to point of consumption. Literature covering the functional, institutional, analytical, and methodological traditions, as well as the behavioral school of thought and transaction cost and relational contracting. prereq: business admin PhD student or instr consent

PA 8302 - Applied Policy Analysis

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

Design/evaluation of public policies. Emphasizes market/non-market contexts. Microeconomics and welfare economics of policy analysis. Econometric tools for measurement of policy outcomes. Applications to policy problems. prereq: Intermediate microeconomics, introduction to econometrics

POL 8106 - Quantitative Political Science I

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

This course provides a thorough grounding in the quantitative analysis of political science data. The emphasis is on how to analyze such data, interpret statistical results, and summarize and report the findings. By the end of the term you will (1) know how to describe variables; (2) test hypotheses; (3) use measures of association to quantify the relationship between two variables while holding a third variable constant; (4) understand bivariate regression and the basics of multiple regression; (5) understand reliability and validity and how to assess these properties empirically; and (6) know how to use the STATA statistical software program. prereq: political science grad major or instr consent

PUBH 8804 - Advanced Quantitative Methods Seminar

Credits:	3.0 [max 6.0]
Typically offered:	Spring Even Year

Understand/competently use advanced quantitative methods in applied social science, policy, demographic research. Methods considered largely within or related to framework of regression analysis. Effort will be made to reflect interests of class. prereq: This is an advanced, doctoral-level course. Students are expected to have completed a full year of doctoral-level introductory statistical and/or econometric classes in their respective field prior to enrolling in this course (e.g., PubH 7401-2, ApEc8211-2, SOC 8801-8811). Exceptions may be granted with instr consent.

PUBH 8811 - Research Methods in Health Care

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

Research methods commonly used in analysis of health services research and health policy problems. prereq: [8810, [grad or professional school] student] or instr consent

SOC 8412 - Social Network Analysis: Theory and Methods

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

Introduction to theoretical/methodological foundations of social network analysis. Concepts/principles, measurements, computer techniques. Applications to friendships, communities, workteams, intra-/inter-organizational relations, international systems. Focuses on network visualizations.

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 8721 - Social Psychology: Micro-Sociological Approaches to Inequalities and Identities

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

Social psychology is basic to an understanding of contemporary social life. This subfield of sociology focuses on social phenomena at the micro-level. Small group dynamics, social interactions, and individual experiences are importantly structured by the macro-structural context, e.g., by socioeconomic status, race, gender, sexuality, and other dimensions of social inequality. At the same time, these and other micro-sociological processes reflect individual-level identities, perceptions, motivations and cognitions. This seminar examines a wide range of social psychological phenomena linked to inequality (e.g., the effects of class, minority status, and gender on disparities in identity, self-concept, and health; the development of status hierarchies in small group interaction; intergroup relations, prejudice, and discrimination). We begin with a consideration of ?personal structure,? emphasizing the cultural and structural variability of self-conceptions and identities, cognitive processes, and motivation, as well as the biosocial bases of action. These may be considered individual-level ?building blocks? of social psychological theories (along with emotions, attitudes, values, and ideologies). We then address prominent theoretical perspectives in social psychology that illuminate the linkages between micro-social contexts of inequality and identity, including symbolic interactionism, exchange theory, structural social psychology (?social structure and personality?) and the social psychology of the life course. Social psychological theory and research are foundational to many specialty fields in sociology, including the sociology of the family, education, health, deviance, work, social mobility, social movements, emotions, and the sociology of childhood, youth, and aging. Social psychology is also central to prominent theoretical debates in sociology surrounding the relationship between social structure and agency; individual-level identities, perceptions, motivations, goals, and strategies are both structured by the social context and affect the capacity of individuals to act agentically and to achieve their goals.

SOC 8735 - Sociology of Culture

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

Definition/importance of culture as dimension of social life. Structural/Durkheimian approaches, cultural Marxism, practice theory. Cultural creation/reception. Identities as cultural formations. Culture/social inequality. Culture and race. Cultural construction of social problems. Culture and globalization.

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

SOC 8890 - Advanced Topics in Research Methods

Credits:	2.0 -3.0 [max 6.0]
Typically offered:	Every Fall & Spring

Advanced Research Methods (e.g., multilevel models), historical/comparative, field, survey research. Topics specified in Class Schedule. prereq: 8801, 8811, or instr consent. Cr will not be granted if cr has been received for the same topics title

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

SCO 8811 - Operations Strategy

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

The course goal is to expose students to the operations strategy area holistically, starting with its origins and historical evolution over time. Students will understand the breadth, develop a sense of the pertinent research questions that have been examined and those that remain unanswered, and begin to develop an informed sense of the emerging/existing research paradigms. The seminar approach is both topical and methodological, using published and working papers as the context and starting point for discussions. Although the focus of the class is not to teach new methods, a significant amount of time will be spent on the theoretical, empirical, and econometric research paradigms used in the papers. Each session is built around a specific theme. The objective is to develop a deep, collective understanding of the various research streams, different empirical methods, and the opportunities for contributions in the areas discussed. Prereq: Business admin PhD student or instr consent; offered alt yrs

SCO 8821 - Management of Technological Operations

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

The learning objectives of the seminar are to develop an understanding of the problems in managing technological operations (i) within firms (intra-firm), and (ii) across firms (inter-firm) ? i.e., designing and sustaining reliable, responsive, resilient and responsible supply chains. Theories and methodologies that either have been, or can be, applied to address these problems will be reviewed. Emerging and impactful problem areas relevant to managing technological operations within and across firms, and their supply chains, and their potential to serve as topics for new lines of research inquiries will be explored. Prereq: Business admin PhD student or instr consent; offered alt yrs

SCO 8822 - Innovative Operations

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

The course will focus on emerging research topics in supply chain and operations with a particular focus on topics that relate to: (i) technology and supply chains in the context of developing economies and the public sector, and (ii) the increased digitization of supply chains through the use of sharing economy platforms. While these topics build upon and extend the core focus areas of supply chain operations (e.g., technology management, operations strategy, and inventory management), they also cross disciplinary boundaries (e.g., information systems, strategy, and public policy) and represent areas of much interest to scholars across disciplines. Prereq: Business admin PhD student or instr consent; offered alt yrs

SCO 8831 - Supply Chain Management

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

This course is designed to provide students with some foundational tools and techniques to model and analyze business problems in the context of supply chain management. Basic theoretical models as well as related quantitative methods and techniques will be discussed. In addition, each session will involve detailed discussions of classic and recent research articles that demonstrate how various supply chain topics of interest can be modeled and analyzed using different conceptual and methodological approaches. Prereq: Business admin PhD student or instr consent; offered alt yrs

SCO 8832 - Analytical Models for Operations Management

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

This is a foundational course that introduces PhD students to analytical models widely used in operations management including optimization, game theory, and queueing theory. This course pays particular attention to emerging applications in supply chain, sustainable operations, retail, service, online platforms, and machine learning. Prereq: Business admin PhD student or instr consent; offered alt yrs

SCO 8841 - Behavioral Research in Operations Management

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

This course aims to prepare students to conduct rigorous research in the field of behavioral operations. It focuses on developing skills in three areas (1) knowledge of classic behavioral theories in economics, sociology, psychology, and other social sciences as they apply to an operations context; (2) ability to ascertain and discover novel behavioral issues that arise within operations contexts, particularly those with the potential for major impact on operational outcomes such as profit, demand, operational efficiency, service level, employee retention, and customer satisfaction; and (3) judgement of what research methodologies are most appropriate for studying a given behavioral issue and practice using these methodologies. Special emphasis is given to experimental and analytical methodologies, with applications spanning operational decisions in service systems, new product development, supply chain management, and responsible operations. Prereq: Business admin PhD student or instr consent; offered alt yrs

SCO 8842 - Retail Operations

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

This course is designed to provide an overview of research in the field of retail operations and to help students develop necessary skills to conduct research in retail operations. To achieve these goals, the course covers a range of topics including forecasting and inventory management, assortment planning, store labor, store execution, consumer returns, omnichannel retailing, and innovative retail practices. Prereq: Business admin PhD student or instr consent; offered alt yrs

SCO 8843 - Sustainable and Socially-Responsible Operations

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

With the fast expanding public awareness and aggravating environmental issues witnessed in recent years, the sustainability of business is receiving keen interest from both firms and policy-makers across the globe. Operations play a central role, as the objective of environmentally- and socially-responsible business needs to be realized through implementation and operationalization on the ground. Over the past decades, operations research has made significant contributions to advance our understanding and approaches on the sustainable aspects, examples include studies on the design and management of closed-loop supply chains (to deal with the resell, reuse, recycling or remanufacturing of used items), the development and implementation of evaluation systems to assess the environmental performance of firms (such as incorporation of the industrial ecology tool of Life-Cycle Assessment into the analysis), the formulation of environmental regulations (ranging from waste management, energy, to emissions and pollutions), the innovative business models (such as different new product development strategies, servicing and sharing economy), and those on the broader social and humanitarian issues. In this course, we will dive into the related literature, to have in-depth discussions on papers that use different conceptual and methodological approaches. Prereq: Business admin PhD student or instr consent; offered alt yrs

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 8213 - Econometric Analysis III

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

The course introduces econometric techniques and models for analyzing economic data for discrete response variables, censored response variables, and non-random data samples. It show show these nonlinear 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 8214 - Econometric Analysis IV

Credits:	2.0 [max 2.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

The course introduces econometric techniques and models used to identify the assumptions required for causal inference as well as tests for these assumptions when they are available. It shows how these techniques and models can be used to evaluate and quantify causal economic 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

MGMT 8101 - PhD Seminar: Theory Building

Credits:	2.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Spring

Problem formulation, conceptual modeling, and theory building, in the social and behavioral sciences. prereq: Business admin PhD student or instr consent

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)

APEC 8206 - Dynamic Optimization: Applications in Economics and Management

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

Formulation and solution of dynamic optimization problems using optimal control theory and dynamic programming. Analytical and numerical solution methods to solve deterministic and stochastic problems for various economic applications. prereq: 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

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 8264 - Advanced Multiple Regression Analysis

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

General linear model used as context for regression. Matrix algebra, multiple regression, path analysis, polynomial regression, standardized regression, stepwise solutions, analysis of variance, weighted least squares, logistic regression. prereq: [8252 or equiv], regression/ANOVA course, familiarity with statistical analysis package

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]

EPSY 8282 - Statistical Analysis of Longitudinal Data

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

Traditional/modern approaches to analyzing longitudinal data. Dependent t-test, repeated measures ANOVA/MANOVA. Linear mixed models, multilevel models, generalized models. prereq: [8252 or equiv]

HINF 5502 - Python Programming Essentials for the Health Sciences

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

Computer programming essentials for health sciences/health care applications using Python 3. Intended for students with limited programming background, or students wishing to obtain proficiency in Python programming language. prereq: Junior or senior or grad student or professional student or instr consent

HRIR 8802 - Core Seminar: Organizational Behavior

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

Major theories/current research on individuals in organizations. Job attitudes/motivation. Personality/individual differences. Team effectiveness. Antisocial/pro-social behavior. Emotions. Justice.

MGMT 8302 - Seminar in Organizational Theory

Credits:	4.0 [max 4.02]
Grading Basis:	A-F only
Typically offered:	Fall Odd Year

Major theories and current research on organizational and interorganizational topics from a macro perspective. prereq: Business admin PhD student or instr consent

MKTG 8842 - Quantitative Modeling I

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

Advanced readings seminar. Quantitative research in marketing. Topics from theoretical/empirical research in marketing, econometrics, and industrial organization. Classic/contemporary articles. prereq: Doctoral student or [master's program student, instr consent]

MKTG 8843 - Empirical Quantitative Models

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

Advanced readings seminar. Quantitative research in marketing. Topics from theoretical/empirical research streams in marketing, econometrics, and industrial organization. Classic/contemporary articles. prereq: Doctoral student or [master's program student, instr consent]

PA 5032 - Applied Regression

Credits:	2.0 [max 2.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Bivariate/multivariate models of regression analysis, assumptions behind them. Problems using these models when such assumptions are not met.

PA 5033 - Multivariate Techniques

Credits:	2.0 [max 2.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Spring

Use of bivariate and multivariate statistical approaches for analyzing and evaluating public affairs issues and the assumptions behind the analytical approaches. Designed to help students read, understand, interpret, use, and evaluate empirical work used in social sciences by policy analysts and policy makers. prereq: Students who register for PA 5033 must take PA 5044 and PA 5033 in the same semester. The same grade will be issued for PA 5044 and PA 5033 after PA 5033 is completed.

PUBH 7405 - Biostatistical Inference I

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

T-tests, confidence intervals, power, type I/II errors. Exploratory data analysis. Simple linear regression, regression in matrix notation, multiple regression, diagnostics. Ordinary least squares, violations, generalized least squares, nonlinear least squares regression. Introduction to General linear Model. SAS and S-Plus used. prereq: [[Stat 5101 or concurrent registration is required (or allowed) in Stat 5101], biostatistics major] or instr consent

PUBH 7406 - Biostatistical Inference II

Credits:	3.0 [max 4.0]
Typically offered:	Every Spring

This course introduces students to a variety of concepts, tools, and techniques that are relevant to the rigorous design and analysis of complex biomedical studies. Topics include ANOVA, sample-size calculations, multiple testing, missing data, prediction, diagnostic testing, smoothing, variable selection, the bootstrap, and nonparametric tests. R software will be used. Biostatistics students are strongly encouraged to typeset their work using LaTeX or in R markdown. prereq: [7405, [STAT 5102 or concurrent registration is required (or allowed) in STAT 5102], biostatistics major] or instr consent

PUBH 7440 - Introduction to Bayesian Analysis

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

Introduction to Bayesian methods. Comparison with traditional frequentist methods. Emphasizes data analysis via modern computing methods: Gibbs sampler, WinBUGS software package. prereq: [[7401 or STAT 5101 or equiv], [public health MPH or biostatistics or statistics] grad student] or instr consent

PUBH 7475 - Statistical Learning and Data Mining

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

Various statistical techniques for extracting useful information (i.e., learning) from data. Linear discriminant analysis, tree-structured classifiers, feed-forward neural networks, support vector machines, other nonparametric methods, classifier ensembles, unsupervised learning. prereq: [[[6450, 6452] or equiv], programming backgroud in [FORTRAN or C/C++ or JAVA or Splus/R]] or instr consent; 2nd yr MS recommended

PUBH 8804 - Advanced Quantitative Methods Seminar

Credits:	3.0 [max 6.0]
Typically offered:	Spring Even Year

Understand/competently use advanced quantitative methods in applied social science, policy, demographic research. Methods considered largely within or related to framework of regression analysis. Effort will be made to reflect interests of class. prereq: This is an advanced, doctoral-level course. Students are expected to have completed a full year of doctoral-level introductory statistical and/or econometric classes in their respective field prior to enrolling in this course (e.g., PubH 7401-2, ApEc8211-2, SOC 8801-8811). Exceptions may be granted with instr consent.

PUBH 8811 - Research Methods in Health Care

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

Research methods commonly used in analysis of health services research and health policy problems. prereq: [8810, [grad or professional school] student] or instr consent

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 8412 - Social Network Analysis: Theory and Methods

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

Introduction to theoretical/methodological foundations of social network analysis. Concepts/principles, measurements, computer techniques. Applications to friendships, communities, workteams, intra-/inter-organizational relations, international systems. Focuses on network visualizations.

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

SOC 8890 - Advanced Topics in Research Methods

Credits:	2.0 -3.0 [max 6.0]
Typically offered:	Every Fall & Spring

Advanced Research Methods (e.g., multilevel models), historical/comparative, field, survey research. Topics specified in Class Schedule. prereq: 8801, 8811, or instr consent. Cr will not be granted if cr has been received for the same topics title

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 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 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 5701 - Statistical Computing

Credits:	3.0 [max 3.0]
Prerequisites:	(Stat 5102 or Stat 8102) and (Stat 5302 or STAT 8051) or consent
Grading Basis:	A-F or Aud
Typically offered:	Every Fall

Statistical programming, function writing, graphics using high-level statistical computing languages. Data management, parallel computing, version control, simulation studies, power calculations. Using optimization to fit statistical models. Monte Carlo methods, reproducible research. prereq: (Stat 5102 or Stat 8102) and (Stat 5302 or STAT 8051) or 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 8311 - Linear Models

Credits:	3.0 [max 4.0]
Typically offered:	Every Fall

General linear model theory from a coordinate-free geometric approach. Distribution theory, ANOVA tables, testing, confidence statements, mixed models, covariance structures, variance components estimation. prereq: Linear algebra, 5102 or 8102 or instr consent

HRIR 8801 - Core Seminar: Fundamentals of Economic Analysis for Work and Organizations

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

Theoretical/empirical approaches in labor/organizational economics. Labor supply/demand. Monopoly/institutional features of labor markets. Compensation, incentives sorting, training. Approaching topics/questions in work/organizations from economic perspective. prereq: [Business Admin PhD student or dept consent], grad majors must enroll A-F

HRIR 8802 - Core Seminar: Organizational Behavior

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

Major theories/current research on individuals in organizations. Job attitudes/motivation. Personality/individual differences. Team effectiveness. Antisocial/pro-social behavior. Emotions. Justice.

HRIR 8803 - Core Seminar: Fundamentals of HR Research

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

Major theories/current research on human resources/industrial relations practices/institutions. Recruitment, selection, job performance. Training/development. Compensation. Other practices/institutions. prereq: [Business Admin PhD student or dept consent], grad majors must enroll A-F

HRIR 8812 - Core Seminar: Research Methods in Work and Organizations

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

Application in research projects. prereq: [Business Admin PhD student or dept consent], grad majors must enroll A-F

HRIR 8820 - Seminar: Special Topics in Work and Organizations Research

Credits:	2.0 [max 12.0]
Typically offered:	Every Spring

Contemporary theories/research on specific topics in work/ organizations. Topics vary. prereq: [Business Admin student or dept consent], grad majors must enroll A-F

HRIR 8825 - Research Practicum/Workshop

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

Experience in conducting research/other doctoral student activities.

EPSY 8264 - Advanced Multiple Regression Analysis

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

General linear model used as context for regression. Matrix algebra, multiple regression, path analysis, polynomial regression, standardized regression, stepwise solutions, analysis of variance, weighted least squares, logistic regression. prereq: [8252 or equiv], regression/ANOVA course, familiarity with statistical analysis package

PSY 5862 - Psychological Measurement: Theory and Methods

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

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

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 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 8003 - Applied Microeconomic Analysis of Game Theory and Information

Credits:	2.0 [max 2.0]
Course Equivalencies:	ApEc 8003/Econ 8003/Econ 8103
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 strategic interactions between consumers and producers (game theory) and information affect prices, resource allocation, and welfare. The optimization theories and economic models are developed in the contexts of both market and nonmarket goods and services. Part of four-course, year-long sequence (APEC 8001-2-3-4). prereq: [[8002 or ECON 8002 or ECON 8102], [[MATH 2243, MATH 2263] or equiv]] or instr consent

APEC 8501 - Labor Economics I

Credits:	2.0 [max 2.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall

Theoretical and empirical studies of compensating differentials, discrimination, personnel economics, and gross flows. prereq: 8003 or equiv or concurrent registration is required (or allowed) in 8003, 8211, 5032 or equiv

APEC 8502 - Labor Economics II

Credits:	2.0 [max 2.0]
Grading Basis:	A-F or Aud
Typically offered:	Periodic Fall

Topics in applied microeconomics related to labor supply and human capital. Household decisions and resulting outcomes in labor market. Household labor supply. Estimation of labor supply and earnings functions. Theory of human capital, wage structure and determination, and impacts of tax and transfer policies.

CSOM 8101 - Methods and Topics in Applied Economics

Credits:	2.0 -4.0 [max 4.0]
Typically offered:	Every Spring

Intermediate methods/topics in business research.

ECON 8205 - Applied Econometrics

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

Application in research, including classical and Bayesian approaches; formulation, comparison, and use of models and hypotheses; inference and prediction in structural models; simulation methods. Seven-week course. prereq: Math 4242 or equiv, concurrent registration is required (or allowed) in Econ 8101, concurrent registration is required (or allowed) in Econ 8105, concurrent registration is required (or allowed) in Stat 5101 or instr consent

ECON 8206 - Applied Econometrics

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

Application in research, including classical and Bayesian approaches; formulation, comparison, and use of models and hypotheses; inference and prediction in structural models; simulation methods. Seven-week course. prereq: 8205, concurrent registration is required (or allowed) in 8102, concurrent registration is required (or allowed) in 8106, concurrent registration is required (or allowed) in Stat 5101 or instr consent

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 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]

EPSY 8282 - Statistical Analysis of Longitudinal Data

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

Traditional/modern approaches to analyzing longitudinal data. Dependent t-test, repeated measures ANOVA/MANOVA. Linear mixed models, multilevel models, generalized models. prereq: [8252 or equiv]

HRIR 8991 - Independent Study in Human Resources and Industrial Relations

Credits:	1.0 -8.0 [max 8.0]
Grading Basis:	A-F or Aud
Typically offered:	Every Fall, Spring & Summer

Individual readings and/or research projects. prereq: instr consent

MGMT 8101 - PhD Seminar: Theory Building

Credits:	2.0 [max 4.0]
Grading Basis:	A-F only
Typically offered:	Every Spring

Problem formulation, conceptual modeling, and theory building, in the social and behavioral sciences. prereq: Business admin PhD student or instr consent

MGMT 8104 - PhD Seminar: Research Design

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

Problem formulation, conceptual modeling, and research design in the social and behavioral sciences.

PSY 8208 - Social Psychology: The Self

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

Social psychological theory and research concerning the self and social behavior. prereq: Psych background especially in personality and soc psych

PSY 8664 - Personality Assessment

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

Concepts/issues concerning individual differences in personality and their assessment; content, reality, and significance of personality traits; classification of personality traits; major approaches to measurement of personality. prereq: Psy grad student or instr consent

PSY 8701 - Seminar in Industrial and Organizational Psychology I

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

Application of research and theory in psychological measurement and individual differences to problems in job analysis, personnel selection and classification, performance assessment, and individual training. prereq: instr consent

PSY 8702 - Seminar in Industrial and Organizational Psychology II

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

Determinants of behavior, performance, job satisfaction that can be influenced after an individual enters an organization. Application of research/theory in attitudes, motivation, leadership, group/team dynamics, and job design to enhancement of job performance/satisfaction. prereq: instr consent

PSY 8960 - Graduate Seminar in Psychology

Credits:	1.0 -4.0 [max 36.0]
Typically offered:	Every Fall & Spring

Graduate seminar in subject of current interest in psychology. prereq: Psychology grad student or instr consent

PUBH 6724 - The Health Care System and Public Health

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

Overview of health care delivery, finance systems within public health context. Components of health care system: financing, role of employers/public programs, health care delivery system, managed care. Collaborative interventions between managed care, public health. prereq: Public health or grad student or instr consent

PUBH 6832 - Economics of the Health Care System

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

Examines applications of microeconomic principles to the U.S. health care system. Topics include demand for medical care, insurance theory and selection issues, provider payment, competition in health care markets, the health care workforce, pharmaceutical prices and innovation, health care spending growth, quality of care, externalities, the relationship between income and health, and the economics of the opioid epidemic. Prerequisite: an introductory economics or microeconomic theory course ? or permission of the instructor.

SOC 8590 - Topics in Life Course Sociology

Credits:	3.0 [max 12.0]
Typically offered:	Periodic Fall

Sociology of aging, sociology of youth, and mental health and adjustment in early life course. Topics specified in [Class Schedule].

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