Mathematics · Fall 2026
SDSU MATH 540 — Math Tools Data Analysis & ML
Development of modern mathematical data science techniques including singular value decomposition, Fourier and wavelet transforms, bias/variance analysis, regression, optimization, clustering, and support vector machines. Strong focus on algorithm implementation and visualization and description of results.
Course requirements
Prerequisites: MATH 340 or equivalent, MATH 254 or equivalent, Upper-division or Graduate standing.
- MATH 340 or equivalent, MATH 254 or equivalent, Upper-division or Graduate standing.
Fall 2026 enrollment options
Seat status can change| Class # | Format | Status | Seats | Time | Location | Professor | RateMyProfessors |
|---|---|---|---|---|---|---|---|
| 9770 Lecture | In person | Open | 11 / 42 | Mon/Wed/Fri 12:00 PM–12:50 PM | GMCS 325 | Christopher Curtis | No RateMyProfessor match available |