Courses

• GRS CS 941: Drs-A/I
  
• GRS CS 950: Drs-Comp Arch
  
• GRS CS 952: Drs-Op Systems
  
• GRS CS 953: Drs-Op Systems
  
• GRS CS 960: Drs-Database
  
• GRS CS 961: Drs-Database
  
• GRS CS 979: Drs-Img/Vid COM
  
• GRS CS 980: Drs-Graphics
  
• GRS CS 995: Ds Computer Sci
  
• 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
  Neoclassical general equilibrium theory. Topics covered include consumption, production, existence of competitive equilibrium, fundamental welfare theorems, externalities, and uncertainty.
• GRS EC 702: Macroeconomic Theory
  Basic Keynesian model: consumption, investment, and money demand functions. Extension to the open economy. Determinants of money supply. Effectiveness of monetary and fiscal policy. Inflation and income policy. Elementary growth models.
• GRS EC 703: Advanced Microeconomic Theory I
  Walrasian equilibrium: existence, uniqueness and core equivalence. Uncertainty: Arrow Debreu contigent commodities, Radner equilibrium, incomplete markets. Economics of information: rational expectations, adverse selection, signaling and screening. The principal-agent problem.
• GRS EC 704: Advanced Macroeconomic Theory I
  Consumption theory and evidence; investment theory and evidence; monetary theory; micro foundations of macro systems; theory of rational expectations; models of fiscal and monetary macroeconomic policy; and employment theory and policy.
• GRS EC 705: Introduction to Mathematical Economics
  Matrix algebra, differential calculus up to and including partial differentials of functions of several variables, and maximization under constraint. Introduction to linear programming, difference, and differential equations.
• GRS EC 707: Advanced Statistics for Economists
  Application of statistical tools, covering properties of estimators, covariance matrix and correlation, analysis of variance, hypothesis testing, likelihood functions, and likelihood ratio tests. Intended as preparation for GRS EC 710.
• GRS EC 708: Advanced Econometrics I
  Basic course of econometric theory for MAPE/PhD students. Covers the theory and applications of the LS and ML estimators of the linear single equations models. OLS, GLS, and Gauss-Markov theorem, autocorrelation, heteroskedasticity, non-linear estimators, distributed lags, errors in variables, instrumental variable estimators, choice models. Introduction to simultaneous equation models.
• GRS EC 709: Advanced Econometrics
  Advanced course for second-year PhD candidates who have a solid knowledge of basic econometric methods. Covers estimation and simulation of simultaneous equation models and some selected topics in multivariate analysis.
• GRS EC 711: Advanced Topics in Econometrics
  Discusses, in an abstract fashion, approaches to estimation and inference that are most often used in econometrics, including maximum likelihood and method of moments; recent developments in econometrics that allow one to overcome some of the shortcomings in using the standard approaches to estimation. Main emphasis on cross-sectional applications with some mention of time series applications and further discussion of specification analysis and testing.
• GRS EC 712: Time Series Econometric
  Presents standard theory of stationary processes: models, estimation in the time and frequency domain, spectral analysis, asymptotic distribution, Kalman filter; VAR models. Also deals with non-stationary processes and discusses topics such as: functional ccentral limit theorem, asymptotic results with unit roots, tests for unit roots, estimation and test in cointegrated systems and models with structural changes.

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