3 units
Offered: Summer 2027 (not offered), Spring 2027 (unknown), Fall 2026 (offered)
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.
Prerequisites
MATH 340 or equivalent, MATH 254 or equivalent, upper-division or graduate standing
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- Who can take it
- MATH 340 or equivalent, MATH 254 or equivalent, upper-division or graduate standing
- Grading
- LCR: Letter Grade with Cr/NC available. The grading default for the class will be letter grade, but students can opt to take it for Cr/NC
0 sections in Spring 2027
MATH 540 is not offered in Spring 2027. Check all MATH classes for other terms.