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COMPSCI 126 - Fairness and Privacy: Perspectives of Law and Probability or return to Course Catalog Search

204972 – Section 001   

SchoolDepartmentFaculty
Faculty of Arts and SciencesComputer ScienceCynthia Dwork and Martha Minow
TermDay and TimeLocation
Fall 2019-2020  (show academic calendar)MW   Monday 9:00 a.m. - 10:10 a.m.; Wednesday 9:00 a.m. - 10:15 a.m.Maxwell Dworkin 221 (SEAS)
Wasserstein 3007 (HLS)
Credits
4  (show credit conversion for other schools)
Credit Level
Undergraduate

Description
Students will learn to analyze and mitigate privacy loss, unfairness, and lack of statistical validity, in data analysis. Principal techniques will come from cryptography, differential privacy, and the newly emerging areas of adaptive data analysis and fairness in machine learning.

Notes
Please note that we are still reviewing applications for the CS portion of this course, and final acceptance decisions may come later in shopping week. CS Applicants should submit letters of inquiry with CVs to Allison Choat, achoat@g.harvard.edu , by midnight, Wednesday, September 4. All applicants should plan to attend an opening lecture dinner for the class at 7:00 PM, Tuesday, Sept. 3rd, on HLS campus (room TBD). To attend the dinner, e-mail Allison Choat at achoat@g.harvard.edu prior to Thursday, August 29, at 3:30 PM. Whether or not you can attend the dinner, if you have not been informed of your application status, please plan to attend the first formal CS-specific class on Wednesday, September 4th, 9:00-10:15 AM, in Maxwell-Dworkin 221. Course enrollment limited. Offered jointly by HLS and SEAS, with interwoven tracks emphasizing, respectively, law and computer science, the tracks will meet jointly and separately. Admission is by permission of instructors; applicants should submit letters of inquiry with CVs to Rachel Keeler, rkeeler@law.harvard.edu, by August 25, 2019.

Exam Group
FAS03_B

 
Cross Registration
Eligible for cross-registration
With permission of instructor/subject to availability

MIT students please cross register from MIT's Add/Drop application.

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