Computational Methods in Decision Making

Undergraduate

This course provides training on how to use computational models to understand human behavior with a focus on learning, decision making, and happiness. Data is collected in a variety of tasks including new experiments designed by students, and is analyzed using computational models. Prerequisites: CPSC 100, CPSC 112 or other course involving programming (e.g., Matlab, Python, C++); course in statistics or data science; PSYC 160 or other human neuroscience course; or permission of instructor. SC T 9:25am-11:20am