| 1 | Introduction, entropy | (PDF) |
| 2 | Jensen's inequality, data processing theorem, Fanos's inequality | (PDF) |
| 3 | Different types of convergence, asymptotic equipartition property (AEP), typical set, joint typicality | (PDF) |
| 4 | Entropies of stochastic processes | (PDF) |
| 5 | Data compression, Kraft inequality, optimal codes | (PDF) |
| 6 | Huffman codes | (PDF) |
| 7 | Shannon-Fano-Elias codes, Slepian-Wolf | (PDF 1) (PDF 2) |
| 8 | Channel capacity, binary symmetric and erasure channels | (PDF) |
| 9 | Maximizing capacity, Blahut-Arimoto | (PDF) |
| 10 | The channel coding theorem | (PDF) |
| 11 | Strong coding theorem, types of errors | (PDF) |
| 12 | Strong coding theorem, error exponents | (PDF) |
| 13 | Fano's inequality and the converse to the coding theorem | (PDF) |
| 14 | Feedback capacity | (PDF) |
| 15 | Joint source channel coding | (PDF) |
| 16 | Differential entropy, maximizing entropy | (PDF) |
| 17 | Additive Gaussian noise channel | (PDF) |
| 18 | Gaussian channels: parallel, colored noise, inter-symbol interference | (PDF) |
| 19 | Gaussian channels with feedback | (PDF) |
| 20 | Multiple access channels | (PDF) |
| 21 | Broadcast channels | (PDF) |
| 22 | Finite state Markov channels | (PDF) |
| 23 | Channel side information, wide-band channels | (PDF) |
