随着信息技术的发展，现代信息理论融合了通讯、信息安全、网络信息编码、数据压缩以及生物技术等多个交叉领域。本课程的第一部分将介绍信息理论的基本知识，包括信息的度量、无失真信源(数据)压缩、有失真信源(数据)压缩、序列的弱典型性和强典型性等知识。另外，由于目前编码理论与信息理论已密不可分。编码理论已不限于通讯系统，它在计算机系统设计方面也有广泛应用，同时在密码学、网络信息研究中成为重要工具。因此本课程的第二部分将介绍一些分组码、线性码、循环码及译码准则方面的知识。当然还要随堂讲授一些基本代数知识。

Information and Coding theory has fundamental contributions to communication theory (data transmission), computer science (data compression), cryptography, statistical physics and so on. This course has two parts. The first part is of information theory, which includes the measurement of information (entropy, relative entropy, mutual information); weakly typical sequence (for data compression); strongly typical sequence (for data transmission). The second part is of coding theory, which includes block codes, linear codes, cyclic codes, and decoding principles. Furthermore, some basic knowledge about finite field and probability theory will be repeated.