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