Prerequisite(s): MATH 111 with a grade of C- or higher or placement through the Montclair State University Placement Test (MSUPT) or MATH 122 with a grade of C- or higher or AMAT 120 with a grade of C- or higher or department approval. Linear algebra and its applications. Topics include matrices, determinants, vector spaces, eigenvalues and eigenvectors, orthogonality and inner product spaces. Applications include network analysis, Markov chains, and systems of linear differential equations. Computational linear algebra will be used to solve problems. Computational software will be used to solve problems. Equivalent course MATH 235 effective through Spring 2020.