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
Description:
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
Grading:
This course is graded on the Graduate Regular scale.
This course is graded on the Graduate Regular scale.