MATHEMATICAL FOUNDATIONS FOR COMPUTATIONAL ECONOMICS

Credit Hours: 4 · Graduate

This course introduces core concepts underlying computational social science, including, optimization, probability, and statistical modeling. We learn how to apply these concepts to a variety of economics and social science questions. Graduate/Undergraduate Equivalency: ECON 308 . Recommended Prerequisite(s): Students should have taken at least a course in calculus and a course in linear algebra. Prior courses in probability and statistics will also be helpful. Highly motivated graduate students lacking some prerequisites can still succeed in this course but will have to put in more time and effort. Such students should meet with us well in advance of the course so that we can recommend readings that will help close the gaps in their preparations. Also, a willingness to consult Wikipedia for math and statistics concepts will help all students. Mutually Exclusive: Cannot register for ECON 631 if student has credit for ECON 308 .