MATH562

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APPLIED LINEAR ALGEBRA

Mathematics (MATH) Graduate Science

Course Description

This course is a foundational course for the study of Linear Algebraic structures used in a variety of scientific and computational applications, such as data fitting, clustering, feature engineering, image processing, machine learning, optimization, and dynamical systems. In order to achieve this purpose, this course will cover topics in linear algebra including vector and matrix operations, linear transformations, linear independence, norms, decomposition, and least squares.

Convening Group

Course Attributes

DATA COURSE FOR GRAD FEE ASSES (MDAT)