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Resources
- Various files used in each lecture
lecture01: Intro
lecture02: A Brief History of Networks
lecture03: Revision: Probability Theory
lecture04: Uncertainty and Entropy
lecture05: Entropy
lecture06: Entropy and Mutual Information
is available, e.g., at \href{Project Gutenberg}{http://www.gutenberg.org/}
lecture07: Communications and storage -- simple coding
lecture08: Decodability
lecture09: Compression and Coding
lecture10: Sampling with Fair Coins
lecture11: Coding Language
\item English word frequencies follow \href{http://en.wikipedia.org/wiki/Zipf's_law}{Zipf's law}
lecture12: Coding Language
lecture13: Limits of Stochastic Processes
lecture14: Practical Compression
lecture15: Stream Coding
lecture16: Gambling and Information Theory
lecture17: Gambling with Side Information
lecture18: Information Theory and the Stock Market
lecture19: Complexity
lecture20: Kolmogorov Complexity
lecture21: Kolmogorov Complexity and Probability
lecture22: Error Correction Codes
lecture23: Channel Information Capacity
lecture24: Channel Capacity
lecture25: Coding with Noise
lecture26: Coding with Noise
lecture27: A Brief History of Networks
lecture28: Network Coding
lecture29: Cryptography and Information Theory
lecture30: Cryptography and Information Theor
lecture31: Information Theory and Estimation
lecture32: Information Theory, the Universe and Everything
lecture33: Information Theory, the Universe and Everything
lecture34: Information Theory, the Universe and Everything
- Matlab files from each lecture
lecture01: Intro
lecture02: A Brief History of Networks
lecture03: Revision: Probability Theory
lecture04: Uncertainty and Entropy
lecture05: Entropy
lecture06: Entropy and Mutual Information
lecture07: Communications and storage -- simple coding
lecture08: Decodability
lecture09: Compression and Coding
lecture10: Sampling with Fair Coins
lecture11: Coding Language
\verbatiminput{/home/mroughan/Classes/Transformations/2008/Matlab/james.txt}
lecture12: Coding Language
lecture13: Limits of Stochastic Processes
lecture14: Practical Compression
lecture15: Stream Coding
lecture16: Gambling and Information Theory
lecture17: Gambling with Side Information
lecture18: Information Theory and the Stock Market
lecture19: Complexity
lecture20: Kolmogorov Complexity
lecture21: Kolmogorov Complexity and Probability
lecture22: Error Correction Codes
lecture23: Channel Information Capacity
lecture24: Channel Capacity
lecture25: Coding with Noise
lecture26: Coding with Noise
lecture27: A Brief History of Networks
lecture28: Network Coding
lecture29: Cryptography and Information Theory
lecture30: Cryptography and Information Theor
lecture31: Information Theory and Estimation
lecture32: Information Theory, the Universe and Everything
lecture33: Information Theory, the Universe and Everything
lecture34: Information Theory, the Universe and Everything
Matthew Roughan
Last modified: Thu Oct 31 11:46:23 2013
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