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Special Topics: Social Data Science

Course Information

Course Number

HCI Undergraduate: 05-499
HCI Graduate: 05-899

Course Description

This course focuses on how to elucidate the true nature of social phenomena using computational techniques and digital data. The goal of the course is that students will be able to explore innovative ways to combine computational and social sciences with understanding the different points of view between them. This course also helps students to have a firm theoretical grounding in the research, analysis, and system building of social computing. Topics covered include agent-based simulations, large-scale data analysis, text as data (natural language processing), digital experiments, mass collaboration, and ethics. The course consists of lectures and exercises to enable students to conduct research in social data science / computational social science on their own.

Semester Offered and Units

Semester: Intermittent
Graduate: 12 units