• Instructor: Benjamin Soltoff, Lecturer in Computational Social Science
  • Teaching Assistants: Mayank Jindal and Cristina Sakamoto
  • Meeting day/time: MW 1:30-2:50pm (Saieh Hall of Economics 247)
  • Online course discussion: GitHub discussion repo
  • Open lab session: W 3:00-4:20pm (Saieh Hall of Economics 247)
  • Office hours: M 10-12pm (McGiffert House 209)
  • TA office hours (lobby outside of McGiffert House 209)
    • Mayank: F 10-12pm
    • Cristina: Th 1-3pm
  • Prerequisites: None
  • Requirements: Bring your own laptop

Course Description

This is an applied course for social scientists with little-to-no programming experience who wish to harness growing digital and computational resources. The focus of the course is on generating reproducible research through the use of programming languages and version control software. Major emphasis is placed on a pragmatic understanding of core principles of programming and packaged implementations of methods. Students will leave the course with basic computational skills implemented through many computational methods and approaches to social science; while students will not become expert programmers, they will gain the knowledge of how to adapt and expand these skills as they are presented with new questions, methods, and data.

A wordcloud generated by student comments when submitting homework exercises.

Course Objectives

By the end of the course, students will:


  1. aka MAPS 30500/PLSC 30235/SOCI 20278/SOCI 40176

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