CS 5780
Last Updated
- Schedule of Classes - June 12, 2026 7:08PM EDT
Classes
CS 5780
Course Description
Course information provided by the 2026-2027 Catalog.
The course provides an introduction to machine learning, focusing on supervised learning and its theoretical foundations. Topics include: regularized linear models, boosting, kernels, deep networks, generative models, online learning, and ethical questions arising in ML applications.
Prerequisites CS 2800; STSCI 3080 or ECON 3130 or MATH 4710 or ENGRD 2700; MATH 2940; MATH 1920; CS 2110; or equivalents.
Forbidden Overlaps CS 3780, CS 5780, ECE 3200, ECE 5420, ORIE 3741, ORIE 5741, STSCI 3740, STSCI 5740
Fees Course fee, $30.
Last 4 Terms Offered 2026SP, 2025FA, 2025SP, 2024FA
Regular Academic Session. Choose one lecture and one project. Combined with: CS 3780
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Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
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Class Number & Section Details
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Meeting Pattern
- TR
- Aug 24 - Dec 7, 2026
Instructors
Sridharan, K
Thickstun, J
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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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