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Spring 2017 Electrical Engineering E6717 section 001
INFORMATION THEORY

Call Number 61614
Day & Time
Location
F 2:10pm-4:00pm
303 Hamilton Hall
Points 3
Approvals Required None
Instructor Xiaodong Wang
Type LECTURE
Course Description Prerequisites: or a course in stochastic processes. Corequisites: ELEN E4815 Mutual information and entropy. The source coding theorem. The capacity of discrete memoryless channels and the noisy channel coding theorem. The rate distortion function. Discrete memoryless sources and single-letter distortion measures. Bhattacharya bounds, convolutional codes, and the Viterbi algorithm.
Web Site CourseWorks
Department Electrical Engineering
Enrollment 19 students (40 max) as of 11:42PM Monday, June 26, 2017
Final Exam Day/Time
F 1:10pm-4:00pm
Final Location 313 Hamilton Hall
Subject Electrical Engineering
Number E6717
Section 001
Division School of Engineering and Applied Science: Graduate
Open To Engineering and Applied Science: Graduate, Graduate School of Arts and Science, Engineering and Applied Science: Undergraduate
Campus Morningside
Section key 20171ELEN6717E001

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SIS update 06/26/17 23:42    web update 06/27/17 07:37