Information Theory

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Last updated on March 29, 2024 2:56 pm

Learn the fundamentals of information theory and its application in communication systems. This course covers the first 11 chapters of Prof. Raymond Yeung’s textbook, adopted by over 60 universities worldwide. Gain knowledge on information measures, fundamental limits, and develop a deeper understanding of communication systems. Apply information theory concepts to various disciplines in information science.

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The lectures of this course are based on the first 11 chapters of Prof. Raymond Yeung’s textbook entitled Information Theory and Network Coding (Springer 2008). This book and its predecessor, A First Course in Information Theory (Kluwer 2002, essentially the first edition of the 2008 book), have been adopted by over 60 universities around the world as either a textbook or reference text.

At the completion of this course, the student should be able to:
1) Demonstrate knowledge and understanding of the fundamentals of information theory.
2) Appreciate the notion of fundamental limits in communication systems and more generally all systems.
3) Develop deeper understanding of communication systems.
4) Apply the concepts of information theory to various disciplines in information science.

What you will learn

Course Preliminaries
Chapter 1 Information Measures
Chapter 2 Information Measures – Part 1
Chapter 2 Information Measures – Part 2
Chapter 3 The I-Measure – Part 1
Chapter 3 The I-Measure – Part 2
Chapter 4 Zero-Error Data Compression – Part 1

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