Online Course Catalog
ECE 563 - Information Theory
Fall 2020
| Title | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|
| Information Theory | A | 37140 | ONL | 4 | 1230 - 1350 | T R | Lav Varshney | |
| Information Theory | ON1 | 74009 | OD | 4 | 1230 - 1350 | T R | Lav Varshney |
Course Description
Mathematical models for channels and sources; and entropy, information, data compression, channel capacity, Shannon's theorems, and rate-distortion theory are covered in this course.
Credit Hours
4 hours
Prerequisites
Undergraduate degree and one of ECE 534 (Random Processes), MATH 464 (Statistics and Probability II), and MATH 564 (Applied Stochastic Processes).