Information Theory and Networks
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| Lecture 01 | ![slides [PDF]](images/slides.jpg) |
![notes [PDF]links](images/notes.jpg) |
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Intro | |
| Lecture 02 | |
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A Brief History of Networks | |
| Lecture 03 | |
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Revision: Probability Theory | |
| Lecture 04 | |
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Uncertainty and Entropy | |
| Lecture 05 | |
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Entropy | |
| Lecture 06 | |
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Entropy and Mutual Information | |
| Lecture 07 | |
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Communications and storage -- simple coding | |
| Lecture 08 | |
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Decodability | |
| Lecture 09 | |
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Compression and Coding | |
| Lecture 10 | |
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Sampling with Fair Coins | |
| Lecture 11 | |
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Coding Language | |
| Lecture 12 | |
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Coding Language | |
| Lecture 13 | |
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Limits of Stochastic Processes | |
| Lecture 14 | |
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Practical Compression | |
| Lecture 15 | |
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Stream Coding | |
| Lecture 16 | |
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Gambling and Information Theory | |
| Lecture 17 | |
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Gambling with Side Information | |
| Lecture 18 | |
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Information Theory and the Stock Market | |
| Lecture 19 | |
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Complexity | |
| Lecture 20 | |
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Kolmogorov Complexity | |
| Lecture 21 | |
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Kolmogorov Complexity and Probability | |
| Lecture 22 | |
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Error Correction Codes | |
| Lecture 23 | |
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Channel Information Capacity | |
| Lecture 24 | |
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Channel Capacity | |
| Lecture 25 | |
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Coding with Noise | |
| Lecture 26 | |
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Coding with Noise | |
| Lecture 27 | |
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A Brief History of Networks | |
| Lecture 28 | |
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Network Coding | |
| Lecture 29 | |
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Cryptography and Information Theory | |
| Lecture 30 | |
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Cryptography and Information Theor | |
| Lecture 31 | |
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Information Theory and Estimation | |
| Lecture 32 | |
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Information Theory, the Universe and Everything | |
| Lecture 33 | |
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Information Theory, the Universe and Everything | |
| Lecture 34 | |
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Information Theory, the Universe and Everything |
Matthew Roughan
Last modified: Thu Oct 31 11:46:23 2013