API 232B
Computational Policy Analysis: Data, Decisions, and Evidence
This course introduces students to computational and empirical methods for public policy analysis in an AI-assisted world. More than ever, policy professionals must understand technical methods, apply them with sound judgment, and critically evaluate the credibility and limitations of analytical claims. Students will learn to characterize policy problems with data, build and assess predictive models, formulate allocation and optimization problems, evaluate systems, and reason about causal…
Sources
- Course catalogue ↗Public 2026-2027 offerings