The information theory and coding course provides the fundamental background on the Shannon theory and their application. Topics include information theory, encoders and decoders for digital data in noisy channels, linear block coding, cyclic coding, BCH coding, convolutional coding, burst error correcting codes, Huffman code and universal code, channel capacity, differential entropy and Gaussian channels, multi-user information theory including broadcast and multiple access channels, rate distortion including quantization, proof of achievability and converse rate distortion, performance of block and convolutional coding in noisy channels.