03:00 PM to 04:15 PM TR
Innovation Hall 129
Section Information for Fall 2018
Prerequisite: Introductory Microeconomics
Course Description: The field of economics is becoming increasingly computational.
This means if you want to be competitive in the job market you must learn how to think
in terms of computational algorithms and be able to program your algorithms on a computer. In this course, you will learn how to program economic systems in mTree using a ubiquitous, general purpose, programming language called Python. You will also learn how to use the scientific programming stack, consisting of numpy, sympy, pandas, matplotlib, seaborn, scipy, and statsmodels to study agent based models of risk preferences and sequential decision making under uncertainty. This course assumes you have no previous programming experience.
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Credits: 3
Enrollment limited to students with a class of Advanced to Candidacy, Graduate or Non-Degree.
Enrollment is limited to Graduate level students.
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