Lecture, three hours; discussion, one hour. Requisites: courses 102, 103, 103L, Mathematics 32A. Corequisite: course 109B. Introduction to variety of computational methods used in advanced economic research and policy work. Use of Python and numerical techniques to solve models in macroeconomics and finance, microeconomics, and econometrics. Students should be familiar with a scientific programming language such as R or MATLAB but are not required to know Python in advance. Letter grading.
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