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Information Theory
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This Course Includes
coursera
4.7 (145 reviews )
Flexible schedule 
english
Online - Self Paced
course
The Chinese University of Hong Kong
About Information Theory
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 Chapter 4 Zero-Error Data Compression - Part 2 Chapter 5 Weak Typicality Chapter 6 Strong Typicality Chapter 7 Discrete Memoryless Channels - Part 1 Chapter 7 Discrete Memoryless Channels - Part 2 Chapter 8 Rate-Distortion Theory - Part 1 Chapter 8 Rate-Distortion Theory - Part 2 Chapter 9 The Blahut-Arimoto Algorithms - Part 1 Chapter 9 The Blahut-Arimoto Algorithms - Part 2 Chapter 10 Differential Entropy - Part 1 Chapter 10 Differential Entropy - Part 2 Chapter 11 Continuous-Valued Channels - Part 1 Chapter 11 Continuous-Valued Channels - Part 2 Chapter 11 Continuous-Valued Channels - Part 3 .