Electrical and Computer Engineering 565:
Information Theory and Its Application to (Big) Data Science (4.0 units)
Entropy and mutual information. Variable and fixed-length, lossless and lossy compression. Universal compression. Text and multimedia compression. Channel capacity. Error-correcting codes. Erasure and Gaussian channels.
- Prerequisite: EE 503
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 30453R | 048 | Lecture | 12:00-1:50pm | Mon, Wed | 6 of 20 | Urbashi Mitra | OHE120 | PDF (109187 KB) |   |
| 30455D | 034 | Lecture | 12:00-1:50pm | Mon, Wed | 0 of 10 | Urbashi Mitra | DEN@Viterbi | | |
| 30447R | 048 | Discussion | 2:00-2:50pm | Friday | 6 of 20 | OHE120 | | ||
| 30457R | 034 | Discussion | 2:00-2:50pm | Friday | 0 of 10 | DEN@Viterbi | |