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A topics course examining how mathematical methods can formally capture societal concerns raised by data-driven systems, including data privacy, algorithmic fairness, and the interpretation of complex ML models. Students combine programming and theoretical problem sets with reading, discussing, and writing about policy and ethics papers.
- Level
- Intermediate
- Department
- CS
- Credits
- 4
- Prerequisites
- CS 237/DS 122; CS 330/DS 320; CS 365/DS 340
Instructors
Last verified: August 22, 2026
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