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 |
|---|---|---|---|---|---|---|---|---|---|
| 30866D | 034 | Lecture | 12:00-1:50pm | Mon, Wed | 1 of 20 | Urbashi Mitra | DEN@Viterbi | PDF (92063 KB) |   |
| 30890D | 048 | Lecture | 12:00-1:50pm | Mon, Wed | 23 of 44 | Urbashi Mitra | OHE132 & ONLINE | PDF (92063 KB) | |
| 30951R | 034 | Discussion | 9:00-9:40am | Friday | 1 of 20 | DEN@Viterbi | | ||
| 31130R | 048 | Discussion | 9:00-9:50am | Friday | 23 of 44 | OHE136 & ONLINE | |