Spring 2026 Mechanical/Electrical/CompSci E6600 section V01

Mathematics of Machine Learning, Signals

Math of ML, Signals, & Co

Call Number 16665
Points 3
Grading Mode Standard
Approvals Required None
Instructor Homayoon Beigi
Type LECTURE
Method of Instruction On-Line Only
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 Video Network
Enrollment 10 students (99 max) as of 10:06AM Tuesday, January 20, 2026
Subject Mechanical/Electrical/CompSci
Number E6600
Section V01
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Graduate
Fee $395 CVN Course Fee
Note VIDEO NETWORK STUDENTS ONLY
Section key 20261MEEC6600EV01