Title: Assistant Professor
College/Department: College of Arts and Sciences/Political Science
Course: POLS 434 Quantitative Applications in Political Science
Student Enrollment: 8
Proposal: In collaboration with CITL staff, students will be exposed to generative AI as a tool to learn R programming language. Students will explore how AI can be used for various tasks including writing and debugging code. CITL staff will also provide advice on best practices and support basic installation of the software.
CITL/I&O Collaborators: Jeremy Mack