INFO 3950
Last Updated
- Schedule of Classes - October 15, 2026 7:07PM EDT
Classes
INFO 3950
Course Description
Course information provided by the 2026-2027 Catalog.
This course will cover intermediate-level applications of data science, with focus on discovery, interpretation, and communication of meaningful patterns in data. Topics will include regression, classification, clustering, and forecasting, with an overview of machine learning algorithms and statistical inference. Lectures and problem sets will make extensive use of python programming.
Prerequisites INFO 2950 or INFO 2951 or equivalent.
Distribution Requirements (DLS-AG)
Last 4 Terms Offered 2025FA, 2025SP, 2024SP, 2023SP
Regular Academic Session.
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR
- Jan 25 - May 11, 2027
Instructors
Ginsparg, P
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Additional Information
Instruction Mode: In Person
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/
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