API 201D
Quantitative Analysis and Empirical Methods
Introduces students to concepts and techniques essential to the empirical analysis of public policy issues. Provides an introduction to probability, statistics, and decision analysis, emphasizing the ways in which these tools are applied to practical policy questions. Topics include: applied probability; decision making under uncertainty; working with data; statistical inference; and hypothesis testing. The course also provides students an opportunity to become proficient in the use of…
Topics
- applied probability
- decision making under uncertainty
- working with data
- statistical inference
- and hypothesis testing
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗Public 2026-2027 offerings