Spring 2026 Mechanical/Electrical/CompSci E6600 section 001

Mathematics of Machine Learning, Signals

Math of ML, Signals, & Co

Call Number 12170
Day & Time
Location
M 4:10pm-6:40pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor Homayoon Beigi
Type LECTURE
Method of Instruction In-Person
Course Description

Advanced Linear Algebra, Complex Variable Theory, Integral Transforms, Measure Theory and Probability Theory, Advanced Information Theory, Differential and Difference Equations, Calculus of Variations, Nonlinear Optimization, State-Space Modeling, Advanced Signal Processing and Recognition: non-Stationary Signal Recognition, Spectral and Cepstral Analysis, Supervised and Unsupervised Clustering,  Decision Theory, Math of modern NN architectures.

Web Site Vergil
Department Mechanical Engineering
Enrollment 30 students (50 max) as of 6:06PM Tuesday, November 25, 2025
Subject Mechanical/Electrical/CompSci
Number E6600
Section 001
Division School of Engineering and Applied Science: Graduate
Section key 20261MEEC6600E001