CS 6241

CS 6241

Course information provided by the Courses of Study 2018-2019. Courses of Study 2019-2020 is scheduled to publish mid-June.

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

  • 17349CS 6241  LEC 001

    • TR
    • Bindel, D

  • Enrollment for this course is limited to CIS PhD/MS only. All others may only register with instructor approval.