• Instructor: Benjamin Soltoff, Lecturer in Computational Social Science
  • Teaching Assistant: TBD
  • 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: Th 2-4pm (Saieh Hall of Economics 249)
  • TA office hours: TBD
  • 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.

From The Rise of Partisanship in the U.S. House of Representatives. The authors use network visualizations to depict ideological polarization over time.

From The Rise of Partisanship in the U.S. House of Representatives. The authors use network visualizations to depict ideological polarization over time.

Course Objectives

By the end of the course, students will:

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