Catalog Description: Digital data communication systems, introductory information theory, and coding.
Prerequisites: Strong background in continuous and discrete-time signals and systems(ECE 351 and ECE 352), basic knowledge of digital communication systems (ECE 462), as well as working knowledge of probability theory and statistics (STAT 314 or STAT 421).
Courses that require this as a prerequisite: none
Credits: 4 Terms Offered: Spring
Instructor:
Primary: M. Magaña
Secondary: H. Liu
Textbook: Applied Coding and Information Theory for Engineers, R. B. Wells, Prentice Hall, 1999. ISBN 0-13-961327-7
Course Learning Objectives:
Students are expected to demonstrate the ability to:
Topics
Structure: Two 100 minute lectures every week.
Original: 4/01
Revised:
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School of Electrical Engineering and Computer Science, 1148 Kelley Engineering Center |