Instructor: Prof. Heung-No Lee
e-mail: heungno@gist.ac.kr
| 1 | Introduction to information Theory, Entropy | |
| 2 | Entropy, Relative Entropy and Mutual Information | |
| 3 | Entropy, Relative Entropy and Mutual Information | |
| 4 | Asymptotic Equipartition Property | |
| 5 | Asymptotic Equipartition Property / Entropy Rates of a Stochastic Process | |
| 6 | Entropy rates of Markove Chain | |
| 7 | Data compression | |
| 8 | Channel capacity | Midterm 1 |
| 9 | Channel capacity theorems / forward / reverse | |
| 10 | Differential entropy | |
| 11 | Gaussian channel capacity | |
| 12 | MIMO channel capacity theorem | |
| 13 | Multiple Access channel capacity theorem | |
| 14 | Slepian Wolf | |
| 15 | Overview | |
| 16 | Final Exam |