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 0 students (50 max) as of 9:06AM Friday, October 10, 2025
Subject Mechanical/Electrical/CompSci
Number E6600
Section 001
Division School of Engineering and Applied Science: Graduate
Section key 20261MEEC6600E001