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Courses - Spring 2025
ECON
Economics Department Site
Open Seats as of
12/21/2024 at 10:30 PM
ECON354
Using Big Data to Solve Economic and Social Problems
Credits: 4
Grad Meth: Reg, P-F, Aud
GenEd: DSSP
Prerequisite: Minimum grade of C- in ECON200 and ECON201; and 1 course with a minimum grade of C- from (ECON230, BMGT230, ECON321, STAT401).
Restriction: Must be in one of the following programs (Economics Bachelor of Arts; Economics Bachelor of Science; Economics minor; Social Data Science-Economics).
Shows how "big data" can be used to understand and address some of the most important social and economic problems of our time. The course will give students an introduction to frontier research and policy applications in economics and social science in a less-technical manner. Topics include equality of opportunity, education, racial disparities, innovation and entrepreneurship, health care, climate change, criminal justice, and tax policy. In the context of these topics, the course will also provide an introduction to basic methods in data science, including regression, causal inference, and machine learning.
Students will need a laptop during discussion sections. If needed, students can borrow laptops through the university libraries.