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 Corequisite: Math 322
Registration Restrictions:
Required Prerequisites: (CS 112C or 112XS).
C Requires minimum grade of C.
XS Requires minimum grade of XS.
Schedule Type: Lecture
Grading:
This course is graded on the Undergraduate Regular scale.
This course is graded on the Undergraduate Regular scale.
Current Sections
This course is not offered this semester.