Spring 2024 Electrical Engineering and Computer Science E6892 section 001

TOPICS-INFORMATION PROCESSING

Reinforcement Learning

Call Number 13360
Day & Time
Location
T 1:10pm-3:40pm
420 Pupin Laboratories
Points 3
Grading Mode Standard
Approvals Required None
Instructor Javad Ghaderi
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 44 students (50 max) as of 9:05PM Friday, November 22, 2024
Subject Electrical Engineering and Computer Science
Number E6892
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Undergraduate, Engineering:Graduate, GSAS
Section key 20241EECS6892E001