MATH 664: 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
Description:
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.
Recommended Prerequisite: MATH 322 or equivalent and basic programming experience.
Registration Restrictions:
Enrollment limited to students with a class of Advanced to Candidacy, Graduate, Junior Plus, Non-Degree or Senior Plus.
Students in a Non-Degree Undergraduate degree may not enroll.
Schedule Type: Lecture
Grading:
This course is graded on the Graduate Regular scale.
This course is graded on the Graduate Regular scale.