| Instructor |
Aria Nosratinia,
EC 4.208, Tel: 972-883-2894 |
| Time | Mon-Wed. 2-3:15pm |
| Place | ECSN 2.126 |
| Textbooks |
Cover and Thomas, Elements of Information Theory, John Wiley
Gallager, Information Theory and Reliable Communication, John Wiley |
| Grading | Midterms (20%+20%), Class Project (40%), Homeworks (10%), class participation (10%) |
| Co-requisite | EE6349 - Stochastic Processes |
| Office Hours | Mon-Wed 10:30-11:30am |
| Course Notes |
(1) Probability Overview
(2) Information and Entropy (3) Entropy Rates, AEP (4) Data Compression (5) Channel Capacity (6) Differential Entropy (7) Gaussian Channels (8) Network Information Theory (9) Rate-Distortion Theory |
This course is designed for the beginning graduate student in the areas of communications or signal processing. It will illuminate the underlying reasons for many of the topics learned in other courses, and prepare the student for high-quality research. The background needed for this course is limited to basic calculus and the ability to calculate simple probabilities.
The grading is based on homeworks, midterms, and a course project. For the course project, the students will choose, with the instructor's assistance, paper or papers to read, understand, and analyze, which they will eventually present to the entire class.