CS 6241

CS 6241

Course information provided by the 2025-2026 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 strong background in linear algebra, prior exposure to numerical methods.

Last 4 Terms Offered 2025SP, 2023FA, 2021SP, 2020SP

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Syllabi: none
  •   Regular Academic Session. 

  • 3 Credits Stdnt Opt

  •  9157 CS 6241   LEC 001

    • TR
    • Jan 20 - May 5, 2026
    • Bindel, D

  • Instruction Mode: In Person