Emphasis on the interplay between theory, application and numerical techniques. Review of vector spaces, complexity of algorithms and numerical techniques, applications of eigenvalues and eigenvectors. Singular value decomposition. Markov chains and probability matrices. Linear Transformations. Inner product spaces. Concepts will be illustrated through applications as chosen by the instructor. Lab work done with an appropriate software package. Lect: 3 hrs./Lab: 1 hr. Prerequisite: MTH 108 or MTH 141 or MTH 430 Course Weight: 1.00 Billing Units: 1
