Computational Modeling and Analysis of Human Behavior

4 credits

Behavioral data is everywhere and reveals how we think, learn, and act. This course equips you to analyze, model, and predict behavior using tools from machine learning. We will explore a variety of computational models, including Bayesian models, latent variable models, and time series analysis, and apply them to real-world datasets. A practical course for students interested in behavioral data science or computational research in human behavior. Prerequisites: MATH 18 or MATH 31AH and MATH 180A or MATH 183 or MATH 186 or ECE 109 or ECON 120A or MAE 108 and COGS 108 or COGS 109 or COGS 118A or COGS 118B or COGS 188 or CSE 150A or CSE 151A or CSE 158 or CSE 158R or DSC 148 or ECE 174 or ECE 175A.