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Information Theory

Course Summary

This course is an introduction to information theory, which emphasizes fundamental concepts as well as analytical techniques. Specific topics include: Information Measures, The I-Measure, Zero-Error Data Compression, Weak Typicality, Strong Typicality, Discrete Memoryless Channels, etc.

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    Course Syllabus

    The lectures are based on the first 11 chapters of Prof. Raymond Yeung’s textbook entitled Information Theory and Network Coding (Springer 2008) listed above.

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    Recommended Background

    A solid course in probability at the undergraduate level would suffice.

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    Course Format

    There will be 15 weeks of lectures, each composed of video clips of around 5-20 minutes with a total length equal to 50 minutes (equivalent to about 2 to 3 hours of classroom teaching). There will be regular homework assignments for you to check your understanding of the lecture videos.

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    Suggested Reading

    Other than the textbook for this course, an excellent reference is Elements of Information Theory, 2nd Edition by T. M. Cover and J. A. Thomas (Wiley 2006).

Course Fee:

Course Type:


Course Status:



1 - 4 hours / week

This course is listed under Networks & IT Infrastructure Community

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