Special Topics
Beginning with the 2016-17 academic year, undergraduate Special Topics courses in Mathematics are designated MATH 396T or 496T, depending on the level of the course. Either course can be used toward upper-division unit requirements in the math minor. MATH 496T can be used as the fifth 400-level MATH course in math major emphases that have a flexible course, pending faculty advisor approval.
Starting in 2022, DATA 396T or 496T designations are also available. Either course can be used as the elective course for the SDS major. Either course can also be used toward upper-division unit requirements in the Statistics & Data Science minor.
The Math Department will try to run one undergraduate Special Topics course per year, in the Spring. If there is sufficient student demand for the course (12 or more undergraduates), and the department has the resources to cover all its other teaching obligations, the course will be scheduled. Otherwise the course will be cancelled.
Looking for information about graduate-level Special Topics courses? See the Graduate Program page.
Spring 2024: MATH 496T-001 - Differential Forms and Calculus on Manifolds, taught by Jon Fortney
Spring 2023: MATH 496T-001 - Random Walks on Networks, taught by Michael Conroy
Fall 2022: DATA 496T-001 - Linear Algebra for Data Science, taught by Kevin Lin.
*NOTE: This course is now offered in fall semesters as DATA/MATH 412
Spring 2021: MATH 496T-001 - Certainty and Chance, taught by Jan Wehr
Spring 2020: MATH 396T-001 - Elementary Fourier Analysis and Signal Processing, taught by Robert Sims
Spring 2020: MATH 496T-001 - Advanced LInear Algebra for Data Science, taught by Keaton Hamm
Spring 2019: MATH 496T-001 - Introduction to Algebraic Topology (with applications), taught by Rachel Neville
Spring 2018: MATH 496T-001 - Set Theory and the Foundations of Mathematics, taught by Jason Aubrey
Fall/Spring 2017: MATH 396T-001 and 002 - Sports Analytics taught by Antonio Iniguez, Joesph Watkins, and Moysey Brio
*NOTE: This class has become a regular course: MATH 367
Spring 2017: MATH 496T-001 - Computability/Recursion Theory, taught by Jason Aubrey
Spring 2017: MATH 496T-002 - Financial Mathematics, taught by Bruce Bayly
Spring 2016: MATH 399 - Mathematical Computing taught by Tyler Kloefkorn and Joshua Lioi
Spring 2025:
MATH 496T-001 - From Dynamical Systems to Generative Artificial Intelligence, taught by Michael Chertkov.
Prerequisites: Linear Algebra (Math 215 or Math 310 or Math 313) with a grade of A or B, Vector Calculus (Math 223) with a grade of A or B, Differential Equations (Math 254 or Math 355)
