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Jul 27, 2024
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MATH 041: Matrix Analysis and Linear Algebra for Data Science
Units: 4
Students will study a branch of mathematics called linear algebra, which is the foundation of advanced data mining techniques such as principal component analysis, support vector machines, and regression. Topics will include vector spaces, eigenvalues and eigenvectors, and the singular value decomposition. Special emphasis will be placed on applications such as network analysis, dimension reduction, and data clustering, and will involve interactive programming exercises.
Course Details
Repeats Allowed for Credit: 0
Discussion included
Normal Letter Grade only
Requisites and Restrictions
Prerequisite Courses: MATH 008 or MATH 005 or equivalent exam
Instructor Permission Required: No
A passing grade in DSC 011 is recommended, but not required.
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