Courses
The listing of a course description here does not guarantee a course’s being offered in a particular semester. Please refer to the published schedule of classes on the Student Link for confirmation a class is actually being taught and for specific course meeting dates and times.
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GRS CS 940: Directed Study: Artificial Intelligence
Graduate-level directed study in a topic in artificial intelligence. -
GRS CS 941: Directed Study: Artificial Intelligence
Graduate-level directed study in a topic in artificial intelligence. -
GRS CS 950: Directed Study: Computational Architecture
Graduate-level directed study in a topic in computational architecture. -
GRS CS 952: Directed Study: Operating Systems
Graduate-level directed study in a topic in operating systems. -
GRS CS 953: Directed Study: Operating Systems
Graduate-level directed study in a topic in operating systems. -
GRS CS 960: Directed Study: Database Management Systems
Graduate-level directed study in a topic in database management systems. -
GRS CS 961: Directed Study: Database Management Systems
Graduate-level directed study in a topic in database management systems. -
GRS CS 979: Directed Study: Computer Graphics
Graduate-level directed study in a topic in computer graphics. -
GRS CS 980: Directed Study: Computer Graphics
Graduate-level directed study in a topic in computer graphics. -
GRS CS 995: Directed Study: Computer Science
Graduate-level directed study in a topic in computer science. -
GRS EC 699: Teaching College Economics I
The goals, contents, and methods of instruction in economics. General teaching-learning issues. Required of all teaching fellows. -
GRS EC 701: Microeconomic Theory 1
Neoclassical general equilibrium theory. Topics covered include consumption, production, existence of competitive equilibrium, fundamental welfare theorems, externalities, and uncertainty. -
GRS EC 702: Macroeconomic Theory 1
Introduction to topics and tools in macroeconomics. Dynamic programming and rational expectations; neoclassical growth and real business cycle models; investment and financial markets; analysis of frictional labor markets. -
GRS EC 703: Microeconomic Theory 2
Noncooperative game theory. Economics of information: adverse selection, signaling, principal agent problem, moral hazard and introduction to mechanism design. -
GRS EC 704: Macroeconomic Theory 2
Effects of taxation and government spending; monetary non-neutrality and nominal rigidities; optimal fiscal and monetary policy. -
GRS EC 705: Introduction to Mathematical Economics
Introductory real analysis at the level of metric spaces, correspondences, fixed point theorems, and convexity in Euclidean space. Applications to optimization theory, dynamic programming, and existence of equilibrium. -
GRS EC 707: Advanced Statistics for Economists
Intermediate level probability and statistics course intended as preparation for econometrics and economic theory. Topics typically covered include random variables, moments, sampling, point and interval estimation, hypothesis testing, and asymptotic theory in the context of univariate and multivariate models. -
GRS EC 708: Advanced Econometrics 1
Advanced treatment of econometric theory: projections, OLS, asymptotic theory, instrumental variables, GLS, heteroskedasticity and autocorrelation robust standard errors, multivariate systems, non-linear models, maximum likelihood, misspecified models, hypothesis testing, introduction to time series, unit root and cointegration, simultaneous equations, GMM. -
GRS EC 709: Advanced Econometrics 2
Advanced course in econometrics with an emphasis on applications to cross-section, panel and time series data. Typically covers generalized method of moment and/or likelihood-based estimation in the context of limited dependent variable models, linear panel models, rational expectation models, structural vector autoregressions, and treatment effects. -
GRS EC 711: Advanced Topics in Econometrics
Advanced course in econometrics with an emphasis on recent topics of research in microeconometrics. Examples of topics covered include nonparametric estimation, bootstrap, partial and weak identification, nonseparable models, quantile and distributional methods, nonlinear panel data models, and structural estimation.
