ECON 109CAdvanced Sequence: Computational Economics
Economics · 4 units · Undergraduate upper division (100-199)
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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Requisites
Official UCLA wording
Requisites: courses 102, 103, 103L, Mathematics 32A. Corequisite: course 109B.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
ECON 109C
- ECON 102Macroeconomic Theory
- ECON 103Introduction to Econometrics
- ECON 11Microeconomic Theory
- ECON 41Probability and Statistics for Economists
- MATH 31BIntegration and Infinite Series
- STATS 100AIntroduction to Probability
- MATH 32BCalculus of Several Variables
- MATH 32ACalculus of Several Variables
- ECON 103LEconometrics Laboratory
- MATH 170EIntroduction to Probability and Statistics 1: Probability
- STATS 100BIntroduction to Mathematical Statistics
- MATH 170SIntroduction to Probability and Statistics 2: Statistics
- ECON 109BAdvanced Sequence: Dynamic Economics
5 direct requisites. Showing 39 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.
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