Spring 2026 Electrical Engineering E6876 section 001

Sparse and Low-Dimensional Models for Hi

SPARSE MODELS FOR HI-D DA

Call Number 11532
Day & Time
Location
T 4:10pm-6:40pm
To be announced
Points 3
Grading Mode Standard
Approvals Required None
Instructor John Wright
Type LECTURE
Method of Instruction In-Person
Course Description

Overview of theory, computation and applications for sparse and low-dimensional data modeling. Recoverability of sparse and low-rank models. Optimization methods for low-dim data modeling. Applications to imaging, neuroscience, communications, web data.

Web Site Vergil
Department Electrical Engineering
Enrollment 0 students (60 max) as of 8:05PM Wednesday, October 8, 2025
Subject Electrical Engineering
Number E6876
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS, General Studies
Section key 20261ELEN6876E001