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MATH 464: Linear Algebra with Data Applications

Important: For the most up-to-date information, refer to the official George Mason Course Catalog

General Information

Credits: 3


Structure of linear spaces and the operator algebra, duality, invariants, Jordan and singular value decompositions, spectral theorem. Rigorous derivation of foundational data science methods such as PCA, MDS, and SVM. Computational and analytic assignments are given. Offered by Mathematics. Limited to three attempts.
Registration Restrictions:

Required Prerequisites: ((MATH 322C or 322XS) and (CS 112C or 112XS)).
C Requires minimum grade of C.
XS Requires minimum grade of XS.

Schedule Type: Lecture
This course is graded on the Undergraduate Regular scale.