Data and Model Programming for Computational Social Science

4 credits

This course explores the use of computational methods across the social sciences. Topics include thinking like a computational social scientist; research design for big data; legal and ethical dimensions of computational social science (CSS). Students will implement demonstrations of these methods in Python. Prerequisites: CSS 1 and choose one of the following courses: COGS 14B, MATH 11, MGT 3, POLI 30, POLI 30D, PSYC 60.