Capstone for AI Applications to Decision Making and Economics

4-0-8 units. HASS-S · Undergraduate

Students apply machine learning and AI methods to real-world decision-making problems, typically with nonprofit or mission-driven partner organizations. In small teams, students identify a problem, design technical and organizational solutions, and produce an end-to-end prototype that can inform or automate decision processes. Emphasis on problem formulation, innovative application of machine learning methods, and integration of economic insights into technical design. Students produce a functioning prototype, an individual written report, and documented reflections on challenges encountered. Students taking graduate version complete additional assignments.