CS 6241

Last Updated

  • Schedule of Classes - June 2, 2019 7:14PM EDT
  • Course Catalog - June 2, 2019 7:15PM EDT

CS 6241
Numerical Methods for Data Science

Course information provided by the Courses of Study 2018-2019.

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.

When Offered Spring.

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

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 12542 CS 6241   LEC 001

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  • Limited to grad students only.