Directory of Classes

NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.


Fall 2022 Electrical Engineering and Computer Science E6897 section 001
Topics in Information Processing
Cloud Data Infrastructure

Call Number 11861
Day & Time
Location
F 10:10am-12:40pm
825 Seeley W. Mudd Building
Points 3
Grading Mode Standard
Approvals Required None
Instructor Asaf Cidon
Type SEMINAR
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 12 students (20 max) as of 5:21PM Thursday, September 29, 2022
Subject Electrical Engineering and Computer Science
Number E6897
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Undergraduate, Engineering:Graduate, GSAS
Campus Morningside
Section key 20223EECS6897E001

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SIS update 09/29/22 17:21    web update 09/29/22 20:37