MTH312 Applied Linear Algebra

[3–0, 3 cr.]

An application-oriented and introductory course in linear algebra and its applications, with an emphasis on building computational skills in this area. Topics include systems of linear equations, matrices, Gaussian elimination, subspaces, bases, orthogonal vectors and projections. Matrix inverses, kernel and range, rank-nullity theorem. Determinants, eigenvalues and eigenvectors, Cramer’s rule, diagonalization and least squares. Also included are applications to curve fitting and Markov processes.

Note: This course has not been taught since Fall 2021 and will not be taught during the academic year 20234-2025.