HCDS (Fall 2017)/Assignments: Difference between revisions

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''coming soon''
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)


[[Category:HCDS (Fall 2017)]]
[[Category:HCDS (Fall 2017)]]

Revision as of 01:23, 25 September 2017

This page is a work in progress. Information may be incomplete and is subject to change. When in doubt, contact the instructor on Slack or via email.
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)