INFO 3950
Last Updated
- Schedule of Classes - June 7, 2023 8:54PM EDT
- Course Catalog - June 7, 2023 7:14PM EDT
Classes
INFO 3950
Course Description
Course information provided by the Courses of Study 2022-2023.
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.
When Offered Spring.
Prerequisites/Corequisites Prerequisite: INFO 2950 or equivalent, plus substantial comfort with python programming in Jupyter notebook.
Distribution Category (MQR-AS)
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 Phillips Hall 219
- Jan 23 - May 9, 2023
Instructors
Ginsparg, P
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Additional Information
Instruction Mode: In Person
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