Course Descriptions

01:920:360 Computational Social Science

  • Thematic Cluster: Social Justice
  • Credits: 3
  • Pre-reqs required: Yes
  • Course Frequency: Generally offered at least once per academic year
  • Course Notes / Requirements: The syllabus below is a sample syllabus. For up-to-date course information, please refer to the syllabus on your Canvas course site on the first day of class.
  • Syllabus: Syllabus

Course Description:

This course introduces students to the emerging field of computational social science. Students will learn to critically analyze social data using a range of techniques including natural language processing, machine learning, and agent-based modeling. We will discuss how these techniques are used by social scientists and consider the ethical implications of big data and artificial intelligence. Students will learn how to use the R programming language for data science and will work on projects to build data visualization apps.

Prerequisites: 01:198:142

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