Spring 2024 Electrical Engineering and Computer Science E6891 section 001

TOPICS-INFORMATION PROCESSING

eBPF Research Seminar

Call Number 16815
Day & Time
Location
R 10:10am-12:40pm
420 Pupin Laboratories
Points 3
Grading Mode Standard
Approvals Required None
Instructor Asaf Cidon
Type LECTURE
Method of Instruction In-Person
Course Description

Advanced topics spanning electrical engineering and computer science such as speech processing and recognition, image and multimedia content analysis, and other areas drawing on signal processing, information theory, machine learning, pattern recognition, and related topics. Content varies from year to year, and different topics rotate through the course numbers 6890 to 6899.

Web Site Vergil
Department Electrical Engineering
Enrollment 11 students (25 max) as of 10:06AM Thursday, November 21, 2024
Subject Electrical Engineering and Computer Science
Number E6891
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Columbia College, Engineering:Undergraduate, Engineering:Graduate, GSAS
Section key 20241EECS6891E001