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/artificial intelligence (AI) 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.
Current Sections
This course is not offered this semester.