MTH 346 - Linear Algebra II

4 credits
Expands upon the theory of abstract vector spaces necessary for nearly all advanced fields in mathematics and science including machine learning, signal processing, differential equations, functional analysis, and statistical sciences. Topics include vector spaces, subspaces, inner product spaces, orthogonality, diagonalization, spectral theorems, and vector space decompositions. Prerequisite(s): MTH 261.
Grade mode designated on a CRN basis each term. Students should consult current term schedule.