Results for MS&E 298

What does it mean for a decision-making process to be discriminatory? How do we quantify inequality? What steps can be taken to mitigate potential bias? This hands-on course explores legal and statistical conceptions of discrimination using examples from public policy, healthcare, economics, technology, and education. Each session will consist of an interactive lecture, a live coding session where we implement techniques from the lecture, and a research paper discussion. The course also features occasional guest speakers from industry and academia. Prerequisites: An introductory statistics course (e.g., 120, 125, 226, or CS 109) and an introductory programming course (e.g., CS 106A). Graduate students may enroll for 1 unit.