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.

Prerequisites/Rules:
Prerequisites: Minimum grade of C- in ECON200 and ECON201; and 1 course with a minimum grade of C- from (STAT100, ECON230, BMGT230, ECON321, STAT400, or other equivalent course) Restrictions: Must be in one of the following programs (Economics Bachelor of Arts; Economics Bachelor of Science)
Credits: 4
Grading Method: Regular, Pass-Fail, Audit

Course Offerings

    Spring 2024Instructor: Erin Moody
    Spring 2023Instructor: Erin Moody