INFO 3950

INFO 3950

Course information provided by the Courses of Study 2023-2024.

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.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  •  9811 INFO 3950   LEC 001

  • Instruction Mode: In Person
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