Economics 112.    Principles of Microeconomics.
Economics 249.    Statistics.
Economics 255.    Microeconomics.
Economics 310.    Experimental Microeconomics.
Economics 313.    Mathematics for Economists.
Economics 314.    Econometrics.

This course uses the basic concepts and organizing principles of economics to study how markets work.  Emphasis is on the fundamental insight that voluntary specialization, production, and trade are the sources of mutual gains.  Topics include exchange, demand, production and costs, present and future values, price takers and price searchers, market restraints, and stock markets.

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This course is an introduction to statistical methods, with emphasis on concepts and tools most frequently used in economic analysis. Topics include descriptive statistics, elementary probability, random variables and probability distributions, sampling distributions, estimation, hypothesis testing, and linear regression.

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This course is a rigorous study of the concepts and organizing principles of neoclassical microeconomics.  Emphasis is on how the repeated use of the principles of optimization and equilibrium provide a coherent view of individual choice and market coordination.  Topics include consumer and demand theory, production and costs, price takers and price searchers, competition and entrepreneurship, and factor markets.  Both graphical and calculus methods are used.

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This course emphasizes the interplay between theory and laboratory observation in the development of microeconomics.  Topics include microeconomics as an experimental science, double-auction markets, expected utility theory, and game theory, with particular emphasis on sequential bargaining and dilemma games.  Students participate in classroom experiments during an overload lab and conduct a collaborative research project with human subjects.

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This course augments the mathematical training of students interested in pursuing a more quantitative approach to economics and business.  Emphasis is on linear systems, matrix algebra, differential calculus of vector-valued functions, and optimization.  Topics may also include game theory, integral calculus, and dynamic analysis.  Mathematical methods are illustrated with various economic applications.

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This course focuses on regression analysis as a means of estimating and testing economic relationships.  After a review of probability and statistics, the method of ordinary least squares is examined in detail.  Topics include the Gauss-Markov theorem, inference, multicollinearity, specification error, functional forms, dummy variables, heteroskedasticity, and autocorrelation.  Simultaneous equations and qualitative dependent variables may also be covered.  The various econometric procedures are implemented in assigned problem sets using EViews software.  A quantitative research paper is required.

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