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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 E6893 section 001

Call Number 10797
Day & Time
F 7:00pm-9:30pm
501 Schermerhorn Hall [SCH]
Points 3
Grading Mode Standard
Approvals Required Department
Instructor Ching-Yung Lin
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. Topic: Big Data Analytics.
Web Site Vergil
Department Electrical Engineering
Enrollment 92 students (150 max) as of 5:52PM Tuesday, December 6, 2022
Subject Electrical Engineering and Computer Science
Number E6893
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering:Undergraduate, Engineering:Graduate, GSAS
Campus Morningside
Section key 20223EECS6893E001

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SIS update 12/06/22 17:52    web update 12/06/22 21:13