HCDS (Fall 2017)/Assignments: Difference between revisions

Revision as of 01:09, 27 September 2017

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Last updated on 08/08/2018 by Jtmorgan

Assignments are comprised of weekly in-class activities, weekly reading reflections, written assignments, and programming/data analysis assignments. 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.

Unless otherwise noted, all assignments are due before 5pm on the following week's class.

Assignment timeline

(weekly) In-class activity output posted to Canvas
(weekly) Reading reflections posted to Canvas
A1 (due Week 3): Data privacy (programming/analysis)
A2 (due Week 4): Data curation (programming/analysis)
A3 (due Week 5): Sources of bias in data (programming/analysis)
A4 (due Week 6): Final project plan (written)
A5 (due Week 7): Auditing algorithms (programming/analysis, written)
A6 (due Week 9): Crowdwork ethnography (written)
A7 (due Week 11): Final project presentation (oral, written)
A8 (due by 11:59pm on Sunday, December 12): Final project report (programming/analysis, written)

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-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.
+Assignments are comprised of weekly in-class activities, weekly reading reflections, written assignments, and programming/data analysis assignments. 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:
+Unless otherwise noted, all assignments are due before 5pm on the following week's class.
-* (weekly) In-class group activity output and/or reading reflections posted to Canvas
-* A1 (due Week 3): Data anonymization (Python, group)
+== Assignment timeline ==
-* A2 (due Week 4): Data curation (Python, individual)
+* (weekly) In-class activity output posted to Canvas
-* A3 (due Week 5): Measuring bias in datasets (Python, group)
+* (weekly) Reading reflections posted to Canvas
-* A4 (due Week 6): Evaluating algorithms (Python, group)
+* A1 (due Week 3): Data privacy (programming/analysis)
-* A5 (due Week 8): Data science ethnography (written, individual)
+* A2 (due Week 4): Data curation (programming/analysis)
-* A6 (due Week 10): Reflection on human-centered data science in the wild (written, individual)
+* A3 (due Week 5): Sources of bias in data (programming/analysis)
-* A7 (due Week 11): Final project (Python, written, presentation, individual)
+* A4 (due Week 6): Final project plan (written)
+* A5 (due Week 7): Auditing algorithms (programming/analysis, written)
+* A6 (due Week 9): Crowdwork ethnography (written)
+* A7 (due Week 11): Final project presentation (oral, written)
+* A8 (due by 11:59pm on Sunday, December 12): Final project report (programming/analysis, written)
 [[Category:HCDS (Fall 2017)]]