Computational Social Science: Methods and Applications (KPHD-540-0)
1.00 Credit
TCE BidStats

This course is designed to prepare PhD students for computational social science (CSS) research. These skills include data acquisition, null model design and programming, and data mining for structured and unstructured data. Prerequisites: Students must be proficient in basic Python programming. Students may either take NICO 101-0 and NICO 102-0 or complete lessons on Datacamp (python for data science, data science toolbox, pandas, and importing data lessons).


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Academic Year Term   Session Course ID Title Sec ID   Credits Syl Instructor Times Campus Location Mand 1st Exam
2020-2021 Winter 2021 10 Weeks KPHD-540-0 Computational Social Science: Methods and Applications 21 1 Pah, Adam Robert Wed 1:30 PM - 4:30 PM Evanston N/A (Room TBA) N