CLUSTER 10A
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.
Course statistics
- Predicted GPA
- 3.87
- n = 348 · 2 terms · ± 0.029
- A range
- 91%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 0.0%
- incl. withdrawals
Sections in Fall 2026
| Section | Status | Enrolled | Seat risk | Meets | Instructor | Predicted GPA |
|---|---|---|---|---|---|---|
| Lec 1 | Closed |
125 of 125
100% full
|
fills | MW 11:00am-12:15pm | Bhaumik, M., Posner, M., Noble, S.U. | 3.87n=348 · this instructor |
Enrollment history
Final enrollment per term, averaged across that term's sections. Four years deep, summer excluded. Per-section live curves are on each section page.
- 17423F
- 17424F
Grade distribution
- A+ 81 · 23.2%
- A 174 · 49.9%
- A- 63 · 18.1%
- B+ 16 · 4.6%
- B 10 · 2.9%
- B- 3 · 0.9%
- C+ 1 · 0.3%
- I 1 · 0.3%
Grey bars are non-letter outcomes — P/NP, S/U, incompletes. They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.
By instructor
| Instructor | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| PRESNER, TODD S | 3.87 | 3.87 | 348 | 2 | 91% |
| WILLIAMS, JULIET A | 3.87 | 3.87 | 348 | 2 | 91% |
| BHAUMIK, MUNIA | 3.87 | 3.87 | 348 | 2 | 91% |
| PANAGIA, DAVIDE | 3.81 | 3.81 | 174 | 1 | 89% |
| POSNER, MIRIAM | 3.92 | 3.93 | 174 | 1 | 94% |
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department — so an instructor with a handful of students sits near the course mean rather than topping the list.
By term
- 23F 3.81 n=174
- 24F 3.93 n=174