The lectures are based on the first 11 chapters of Prof. Raymond Yeung’s textbook entitled Information Theory and Network Coding (Springer 2008).
Chapter 1 The Science of Information
Chapter 2 Information Measures
Chapter 3 The I-Measure
Chapter 4 Zero-Error Data Compression
Chapter 5 Weak Typicality
Chapter 6 Strong Typicality
Chapter 7 Discrete Memoryless Channels
Chapter 8 Rate-Distortion Theory
Chapter 9 The Blahut-Arimoto Algorithms
Chapter 10 Differential Entropy
Chapter 11 Continuous-Valued Channels
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. The electronic version
of the 2008 book can be downloaded for free (with institutional subscription).
At the completion of this course, the student should be able to:
Demonstrate knowledge and understanding of the fundamentals of information theory.
Appreciate the notion of fundamental limits in communication systems and more generally all systems.
Develop deeper understanding of communication systems.
Apply the concepts of information theory to various disciplines in information science.