Data, Justice, and Society
Lecture, three hours; discussion, two hours. Course 10A is requisite to 10B, which is requisite to 10CW or 10WX. Limited to first-year students. Data-based computation (i.e., algorithms, artificial intelligence, predictive modeling) increasingly play a dominant role in shaping everyday experiences of culture and society. Data and data analytics define everything from social relations and public policy to juridical status and market logistics. Introduction to politics, ethics, applications, history, critiques, and social impact of data. Introduction to how data intersects with philosophical inquiries about justice, (in)equality, power, and freedom. Students obtain deeper historical and critical view of data in society, while gaining understanding of differing and diverse cultural frames of analysis. P/NP or letter grading.
Review Summary
- Clarity
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3.3 / 10
- Organization
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8.3 / 10
- Time
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5-10 hrs/week
- Overall
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1.7 / 10
Reviews
I'm conflicted on this course. It had a lot of wasted potential imo, but maybe because this is a more humanities focused class and I'm always going to be more interested in STEM. this is the first time the course is being offered, so a lot of the assignments and lectures are super messy and don't really make sense. Love profs presner and williams, the other two make no sense imo. It feels like they were just speaking without really thinking and their lectures made no sense to me. As for the readings, I feel a lot of them were super unnecessary, but you need to at least skim them to do your weekly participation posts and a couple of your papers.
Strongly disliked this class. Incredibly boring and my TA ruled with an iron fist. Beware.
The professors are remarkably passionate about the course content and their respective fields. The readings can be a lot to grasp at times, but they do a good job reviewing and analyzing them in lectures so you don't stay confused for long. The writing assignments, though challenging at times, are manageable with decent notes and attending lectures (they give you many resources to use for the final papers). I enjoyed listening to a lot of the lectures and would recommend this class to anyone.
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Course
Grading Information
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Has a group project
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Attendance required
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No midterms
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No final
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33% recommend the textbook
Previous Grades
Grade distributions not available.