This course covers the basic concepts of information theory and of communication theory. Topics covered include the entropy rate of a source, mutual information, typical sequences, the asymptotic equi-partition property, Huffman coding, channel capacity, the channel coding theorem, the source-channel separation theorem, and feedback capacity.

The course teaches the fundamentals of digital communication systems. The main topics are analog and digital modulation, signals and linear time-invariant systems, baseband and passband representations, continuous-time and discrete-time channels, noise, inter-symbol interference, detection theory, as well as the basics of forward error correction and information theory.

The course teaches the fundamentals of wireless communication as well as state-of-the-art technologies used in modern wireless systems. The main topics are wireless channels, data detection, multi-antenna and multi-user communication, information theory of wireless systems, and emerging technologies. The exercises cover theoretical aspects as well as modeling of wireless systems using MATLAB.

This course builds on Information Theory I. It introduces additional topics in single-user communication, connections between Information Theory and Statistics, and Network Information Theory.