Pavlos Protopapas & Kevin Rader
COMPSCI 1090B | Spring 2026 | Course Listing | Canvas Site
Monday, Wednesday & Friday, 9:45 AM – 11:00 AM
Data Science 2 is the second half of a one-year introduction to data science. Building upon the material in Data Science 1, the course introduces advanced methods for statistical modeling, representation, and prediction. Topics include multiple deep learning architectures such as CNNs, RNNs, transformers, language models, autoencoders, and generative models as well as basic Bayesian methods, and unsupervised learning. Students are strongly encouraged to enroll in both the fall and spring course within the same academic year. Part two of a two-part series.
Recommended Prep: CS 1090a (previously CS 109a), AC 209a, Stat 109a, or Stat 121a required.