MATH 2310

Last Updated

  • Schedule of Classes - October 15, 2026 7:07PM EDT

MATH 2310
Linear Algebra for Data Science

Course information provided by the 2026-2027 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. Students who take MATH 2310 may need more foundational coursework before pursuing further study in mathematics.


Prerequisites MATH 1106 or MATH 1110.

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

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

Last 4 Terms Offered 2026FA, 2026SP, 2025FA, 2025SP

View Enrollment Information

Syllabi: none

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

  • 4 Credits Stdnt Opt

  • 15931 MATH 2310   LEC 001

  •  
    • TR
    • Jan 25 - May 11, 2027

    • Yang, Y

  • Instruction Mode: In Person

  • 15932 MATH 2310   DIS 201

  •  
    • W
    • Jan 25 - May 11, 2027

    • Yang, Y

  • Instruction Mode: In Person

  • 15933 MATH 2310   DIS 202

  •  
    • W
    • Jan 25 - May 11, 2027

    • Yang, Y

  • Instruction Mode: In Person

  • 15934 MATH 2310   DIS 203

  •  
    • W
    • Jan 25 - May 11, 2027

    • Yang, Y

  • Instruction Mode: In Person