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Last updated on 08/08/2018 by Jtmorgan
Assignments are comprised of readings, essays, and programming. Weekly in-class reading groups will discuss the assigned readings from the course and students are expected to have read the material in advance. In class activities each week are posted to Canvas and may require time outside of class to complete.
Indicative assignments are:
- (weekly) In-class group activity output and/or reading reflections posted to Canvas
- A1 (due Week 3): Data anonymization (Python, group)
- A2 (due Week 4): Data curation (Python, individual)
- A3 (due Week 5): Measuring bias in datasets (Python, group)
- A4 (due Week 6): Evaluating algorithms (Python, group)
- A5 (due Week 8): Data science ethnography (written, individual)
- A6 (due Week 10): Reflection on human-centered data science in the wild (written, individual)
- A7 (due Week 11): Final project (Python, written, presentation, individual)
