Introduces and provides models for application of the concepts of vector algebra. Topics include finite dimensional vector spaces and their geometric significance; representing and solving systems of linear equations using multiple methods, including Gaussian elimination and matrix inversion; matrices; determinants; linear transformations; quadratic forms; eigenvalues and eigenvector; and applications in science and engineering.

**Grade Basis:** ALP
**Credit hours:** 3.0
**Lecture hours:** 3.0

**Prerequisites:**

- MATH 2413 - Calculus I

**Restrictions:**

- A grade of C or better must be earned to progress to a MATH course that uses this course as a prerequisite.

Last updated: 03/23/2022