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ECON 7004. Mathematics for Economists. 3 Credit Hours.

Topics include matrix algebra, limits and open sets, implicit functions and their derivatives, quadratic forms and definite matrices, unconstrained and constrained static optimization, dynamic optimization and economic applications.

Doctor of Philosophy with a Major in Economics

http://www.catalog.gatech.edu/programs/economics-phd/

The School of Economics will start its PhD program with a major in Economics in August 2010. The program is unique in its focus on the common globalization and innovation issues that interconnect environmental economics, industrial organization and international economics. It emphasizes the economic forces that generate the impetus for individuals to compete globally and analyzes the interrelated effects that these forces have on the environment, international trade, and the behavior of firms in a variety of industrial sectors in the U.S. In the new millennium, globalization and creative activity, as fundamental precursors and outputs of industrial activities, have important implications for environmental, trade, and industrial policies. Policy changes in one arena (e.g. trade) may have significant effects in other areas (e.g. environment, antitrust). There is an increasing demand for PhD economists who have the training and skill sets to carefully think through these issues. Our doctoral program will prepare students to meet this increasing demand, qualifying them for positions in academia, private and public sectors. Our curriculum features 27 credit hours of first year core courses, at least twenty-one credit hours of fields, electives and workshop, at least 18 credit hours of departmental seminars and at least thirty-three credit hours of dissertation research (see Requirements tab). Thus, the minimum number of credit hours to be fulfilled is 99. Students receive rigorous training in microeconomic theory and quantitative methods during their first year of study. Our first year core coursework also features a two-course sequence in the economics of innovation. This cluster is designed to teach students the key microeconomic and macroeconomic foundations of innovation.