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Sep 07, 2024
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MTH 340 - CUE: The Matrix Revisited1 course unit 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. Prerequisite(s): MTH 226 Linear Algebra
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