INFO 3950
Last Updated
- Schedule of Classes - January 5, 2026 3:59PM EST
- Course Catalog - May 29, 2024 10:20AM EDT
Classes
INFO 3950
Course Description
Course information provided by the 2025-2026 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.
Prerequisites/Corequisites Prerequisite: INFO 2950 or equivalent, plus substantial comfort with python programming in Jupyter notebook.
Last 4 Terms Offered 2025FA, 2025SP, 2024SP, 2023SP
Distribution Category (MQR-AS)
When Offered Spring.
Comments Note: This course may not be taken for credit after or concurrently with CS 4780 or ECE 4200.
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
- Aug 25 - Dec 8, 2025
Instructors
Ginsparg, P
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Additional Information
Instruction Mode: In Person
To add yourself to the waitlist, please see https://pgcourse.infosci.cornell.edu/cgi-bin/waitlist3950.py.
For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/Instructor Consent Required (Add)
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