CS 6241

CS 6241

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.

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Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  • 12542CS 6241  LEC 001

  • Limited to grad students only.