CS 6241

Last Updated

  • Schedule of Classes - June 25, 2020 7:14PM EDT
  • Course Catalog - June 25, 2020 7:15PM EDT

CS 6241
Numerical Methods for Data Science

Course information provided by the 2019-2020 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.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 12335 CS 6241   LEC 001

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  • Instruction Mode: Hybrid - Online & In Person

    Limited to grad students only. All others should add themselves to the waitlist. Please go to http://www.cs.cornell.edu/courseinfo/enrollment for updates.