ECE-5634: Information Theory
Description: Transmission of information over noisy channels. Measures of information and transmission channel capacity. Use of codes to improve the reliability of such transmission. Mathematical theory of information. Transmission at rates above channel capacity. Includes linear codes, error detecting and correcting codes, Hamming codes.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 11
Average GPA: 3.49 (A-)
Strict A Rate (No A-) : 51.32%
Average Withdrawal Rate: 0.00%
| Allen B Mackenzie | 2019 | 50.8% | 37.2% | 12.0% | 0.0% | 0.0% | 0.0% | 3.39 | 5 |
| Thomas C Clancy | 2011 | 66.7% | 33.4% | 0.0% | 0.0% | 0.0% | 0.0% | 3.59 | 2 |
| Timothy J Talty | 2022 | 62.5% | 34.5% | 0.0% | 3.1% | 0.0% | 0.0% | 3.51 | 2 |
| Annamalai Annamalai | 2005 | 75.0% | 25.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.71 | 1 |
| Richard M Buehrer | 2018 | 50.0% | 50.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.50 | 1 |