INFO 3950

Last Updated

  • Schedule of Classes - April 4, 2023 12:09PM EDT
  • Course Catalog - April 3, 2023 12:59PM EDT

INFO 3950
Data Analytics for Information Science

Course information provided by the 2022-2023 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.

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.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 18208 INFO 3950   LEC 001

    • TR Phillips Hall 219
    • Jan 23 - May 9, 2023

    • Ginsparg, P

  • Instruction Mode: In Person

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