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MATH 665: Mathematics of Data Science

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

General Information

Credits: 3


Covers mathematical aspects of data science including theory of linear and nonlinear dimension reduction, elements of spectral graph theory, function spaces and regularity in regression, and data-driven dynamics identification and discovery. Computational and analytic assignments are given.  Offered by Mathematics. Limited to three attempts.
Registration Restrictions:

Required Prerequisites: (MATH 664B- or 664XS).
B- Requires minimum grade of B-.
XS Requires minimum grade of XS.

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
This course is graded on the Graduate Regular scale.