CS 6241

CS 6241

Course information provided by the 2024-2025 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

  • 19819 CS 6241   LEC 001

    • TR
    • Jan 21 - May 6, 2025
    • Bindel, D

  • Instruction Mode: In Person