Assessment
Take home exam.
A retake requires at least a 4 for the original test.
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This course covers the following topics:
- Introduction to Social Computing
- Introduction to Data Ethics
- Data sources in social computing
- Social Media and Social Network Analysis
- More on SNA
- Natural language processing for social data analysis
- Text mining of social media
- Reality mining
- Surveys
- Cultural Analytics
- Social Simulations
- Visualization
- Urban computing
- AI for Social Good
Course form
- lectures
- paper presentations by student groups
- discussion questions prepared by students for each lecture on one reading assignment
- term project
Literature
Topic related articles (both required and optional reading), to be announced.
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