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Viewing: ECE 6500 : Information Theory

Last approved: Thu, 13 Apr 2017 15:51:53 GMT

Last edit: Mon, 06 Mar 2017 15:13:39 GMT

Programs referencing this course
School of Engineering and Applied Sciences
Electrical and Computer Engineering (ECE)
ECE
6500
Information Theory
Information Theory
Fall 2017
3
Course Type
Lecture
Default Grading Method
Letter Grade

No
No
ECE 6015
Corequisites

20

Frequency of Offering
Odd Years
Term(s) Offered
Spring
Are there Course Equivalents?
No
 
No
Fee Type


No


Introduction to the mathematical representation of information, including the concepts of entropy, mutual information and information transfer over noisy media; mathematical representation of information sources; entropy and mutual information; noiseless and noisy coding theorems; data compression; communication channels and their capacity to convey information; and rate distortion theory.
Upon completion of the course the student is expected to understand
• The mathematics of information representation
• The efficient coding of information as digital signals
• The information-theoretic specification of digital channels
• The characteristics of Gaussian and Binary Symmetric Channels
• The capacity of digital channels to convey information from a source to a destination
• The noiseless and noisy coding theorem
Uploaded a Course Syllabus

Course Attribute


riffat (Tue, 17 Jan 2017 16:54:09 GMT): Rollback: Please remove the bullets from the course description. You can add a couple of descriptive sentences instead of the bullets.
suresh (Mon, 06 Feb 2017 16:57:36 GMT): Rollback: See comment from AD Riffat on course description
Key: 2450