Guangyue Han, The University of Hong Kong

Introduction to Information Theory

Abstract

Information theory is a branch of applied mathematics and electrical engineering involving the quantification of information. Historically, information theory was developed by Claude E. Shannon to find fundamental limits on signal processing operations such as compressing data and on reliably storing and communicating data. Since its inception it has broadened to find applications in many other areas, including statistical inference, artificial intelligence, cryptography, biology, statistical physics, quantum computing, computational complexity, data analysis and so on. This talk is to give a brief introduction to this rapidly developing theory.