MATH 2310

Last Updated

  • Schedule of Classes - September 22, 2025 1:06PM 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 MATH 1106, MATH 1110, or equivalent AP credit.

Forbidden Overlaps MATH 2210, MATH 2230, MATH 2310, MATH 2940

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

Last 4 Terms Offered 2025FA, 2025SP, 2024FA, 2022FA

View Enrollment Information

Syllabi: none

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

  • 4 Credits Stdnt Opt

  •  7626 MATH 2310   LEC 001

  •  
    • TR
    • Jan 20 - May 5, 2026

    • Townsend, A

  • Instruction Mode: In Person

  •  7627 MATH 2310   DIS 201

  •  
    • W
    • Jan 20 - May 5, 2026

    • Townsend, A

  • Instruction Mode: In Person

  •  7628 MATH 2310   DIS 202

  •  
    • W
    • Jan 20 - May 5, 2026

    • Townsend, A

  • Instruction Mode: In Person

  •  7629 MATH 2310   DIS 203

  •  
    • W
    • Jan 20 - May 5, 2026

    • Townsend, A

  • Instruction Mode: In Person