CS 6241

Last Updated

  • Schedule of Classes - May 15, 2019 12:56PM EDT
  • Course Catalog - March 4, 2019 1:00PM EST

CS 6241
Numerical Methods for Data Science

Course information provided by the 2018-2019 Catalog.

A discussion of numerical methods in the context of data analysis, machine learning, and network science problems. The course will focus on matrix and tensor decompositions, numerical algorithms for graph data, least squares, regression, and iterative methods.


Prerequisites/Corequisites Prerequisite: strong background in linear algebra, prior exposure to numerical methods.

When Offered Spring.

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Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 12542 CS 6241   LEC 001

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  • Instruction Mode: In Person

    Limited to grad students only.