HCDS (Fall 2017)/Assignments
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.
Unless otherwise noted, all assignments are individual assignments.
Assignment timeline
- Weekly: In-class activity output posted to Canvas (group or individual)
- Weekly: Reading reflections posted to Canvas (individual)
- 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 10): Final project report (programming/analysis, written)
Weekly in-class activities
Weekly reading reflections
This course will introduce you to cutting edge research and opinion from major thinkers in the domain of human centered data science. By reading and writing about this material, you will have an opportunity to explore the complex intersections of technology, methodology, ethics, and social thought that characterize this budding field of research and practice. As a participant in the course, you are responsible for intellectually engaging with all assigned readings and developing an understanding of the ideas discussed in them.
This assignment is designed to encourage you to reflect on these readings (or in some cases, viewings or listenings) and make connections during our class discussions. To this end, you will be responsible for posting reading reflections every week of the quarter (except for week 1).
There will generally be multiple readings assigned each week. You are responsible for reading all of them. However, you only need to write a reflection on one reading per week. Unless your instructor specifies otherwise, you can choose which reading you would like to write your reflection about.
These reflections are meant to be brief but meaningful. Follow the instructions below, demonstrate that you engaged with the material, and turn the reflection in on time, and you will receive full credit. Late reading reflections will never be accepted.
- Instructions
- In at least 2-3 full sentences, answer the question "How does this reading inform your understanding of human centered data science?"
- Using full sentences, list at least 1 question that this reading raised in your mind.
