Syllabi from recently taught courses.

• Generative AI for Social Science
  Department of Applied Statistics, Social Science, and Humanities; APSTA-GE 2048; Spring 2026; 3 units.
  This course provides a hands-on introduction to using generative AI for social science research and impact. Students use generative AI to classify text corpora, parse unstructured documents, create synthetic data and simulations, and code with agents. The course also reviews ethical questions that arise with the use of generative AI in social science research and impact applications. Assignments focus on using generative AI to address social and policy questions with real-world datasets.
• Databases and Data Science Practicum
  Department of Applied Statistics, Social Science, and Humanities; APSTA-GE 2017; Spring 2026; 2 units.
  This course provides a hands-on introduction to extracting, transforming, and visualizing data using real-world datasets. Students learn to query databases and join datasets using SQL, and learn to summarize, visualize, and map data in R using the tidyverse. Students also gain experience with git, enhancing their ability to work in modern collaborative environments. Alongside these modules, an ongoing emphasis of the course is to practice how to be a curious, skeptical, and articulate data scientist.