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SOC 172: Computational Social Science

This course introduces students to computational social science from a sociological perspective, grounding popular computational methods such as text mining and network analysis in sociological theory. While the course is open to graduate and advanced undergraduate students from any discipline, the materials will be primarily sourced from sociology. Students with no prior computer science experience will find this course a menu of potential methodologies for future research, while students with some programming experience or with a pre-existing research question can use this course to advance their research projects. By framing these methods in sociological theory, students will gain a more critical understanding of why scientists select these methods and how computational methods impact society.
Terms: Spr | Units: 4-5 | Grading: Letter or Credit/No Credit
Instructors: Santana, J. (PI)
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