Nov 21, 2024  
2022-2023 Catalog 
    
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2022-2023 Catalog [ARCHIVED CATALOG]

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MTH 308 Computational Linear Algebra

A course in the techniques and applications of linear algebra in the field of data science. The core topics include solving systems of linear equations, eigenvalues and eigenvectors, matrix decomposition, the pseudoinverse and least squares approximations, and the singular value decomposition. Theory is supplemented with extensive applications and computer programming.
Credits: 4
Prerequisite: MTH 243  or MTH 365  with a grade of C- or better, and CS 133  or CS 161  with a grade of C or better, or consent of instructor
Satisfactory Grading: Eligible for the Satisfactory/No Credit grade mode.


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