Mathematics · Fall 2026, Winter 2027, Spring 2027, & Summer 2027
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.