An applied study of matrices, vector spaces, and linear transformations, with a focus on computations and modeling. Topics include linear systems, dependence and rank, bases, inner product spaces, orthogonal and orthonormal sets, eigenvalues and eigenvectors, matrix factorizations, and singular values. Additional topics may include numerical techniques and applications to static and dynamical physical systems, Markov chains, graph theory, artificial neural networks, image and signal processing. Computer programming will be an integral component of the class. Spring.
Prerequisite: MATH 157 Minimum Grade: C- or MATH 231 Minimum Grade: C-
About
Gonzaga’s Jesuit, Catholic, Humanistic education will challenge and inspire you.