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 4 students (99 max) as of 12:06PM Friday, November 28, 2025
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