MATH 2310

Linear Algebra for Data Science

Course Description

Course information provided by the 2025-2026 Catalog.

Introduction to linear algebra for students who wish to focus on the practical applications of the subject. A wide range of applications are discussed and computer software may be used. The main topics are systems of linear equations, matrices, determinants, vector spaces, orthogonality, and eigenvalues. Typical applications are population models, input/output models, least squares, and difference equations.

Prerequisites/Corequisites Prerequisite: MATH 1106, MATH 1110, or equivalent AP credit.

Forbidden Overlaps Forbidden Overlap: due to an overlap in content, students will receive credit for only one course in the following group: MATH 2210, MATH 2230, MATH 2310, MATH 2940.

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

Distribution Category (MQR-AS, SMR-AS)

When Offered Fall.

Comments Students who plan to major or minor in mathematics or take upper-level math courses should take MATH 2210, MATH 2230, or MATH 2940 rather than MATH 2310. For guidance in selecting an appropriate course, please consult First Steps in Math.

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