MATH 2310

Last Updated

  • Schedule of Classes - March 17, 2025 8:55AM EDT

MATH 2310
Linear Algebra for Data Science

Course information provided by the 2025-2026 Catalog.

An introduction to linear algebra for students interested in applications to data science. The course diverges from traditional linear algebra courses by emphasizing data science applications while teaching similar concepts. Key topics include matrices as data tables, high-dimensional datasets, singular value decomposition for data compression, and linear transformations in computer graphics.


Prerequisites REF-FA25/Corequisites REF-FA25 MATH 1106, MATH 1110, or equivalent AP credit. Corequisites: None.

Forbidden Overlaps REF-FA25 MATH 2210, MATH 2230, MATH 2310, MATH 2940

Distribution Requirements (OPHLS-AG, MQL-AG), (SMR-AS)

Last 4 terms offered (None)

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Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  •  8770 MATH 2310   LEC 001

  •  
    • TR
    • Aug 25 - Dec 8, 2025

    • Townsend, A

  • Instruction Mode: In Person

  •  8771 MATH 2310   DIS 201

  •  
    • W
    • Aug 25 - Dec 8, 2025

    • Townsend, A

  • Instruction Mode: In Person

  •  8772 MATH 2310   DIS 202

  •  
    • W
    • Aug 25 - Dec 8, 2025

    • Townsend, A

  • Instruction Mode: In Person

  •  8773 MATH 2310   DIS 203

  •  
    • W
    • Aug 25 - Dec 8, 2025

    • Townsend, A

  • Instruction Mode: In Person