MTH 340 - CUE: The Matrix Revisited

Course unit(s): 1
Prerequisite(s): MTH 226 Linear Algebra
This course is a follow-up course to MTH 226 Linear Algebra focusing on applications, particularly involving large data sets. The course is structured to emphasize “mathematics in action” and will have many project-based components. Topics include image and sound compression and manipulation, least squares, non-symmetric Eigenvalue problems, symmetric Eigenvalues and singular value decomposition, principal component analysis, and iterative methods. These are all techniques/topics used in applied business, science, and industry.