MATH 465: Mathematics of Data Science

The University Catalog is the authoritative source for information on courses. The Schedule of Classes is the authoritative source for information on classes scheduled for this semester. See the Schedule for the most up-to-date information and see Patriot web to register for classes.

Course Information from the University Catalog

Credits: 3

Covers mathematical aspects of data science/artificial intelligence (AI) 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.

Recommended Prerequisite: MATH 352 and Math 464 and (STAT 350 or STAT 360 or STAT 356)

Registration Restrictions:

Required Prerequisites: (MATH 214^C or 214^XS) and (MATH 322^C or 322^XS) and (CS 112^C or 112^XS).
^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.