Course contents: Introduction, entropy, joint entropy, mutual information, information rate, redundancy, discrete message sources, memoryless sources, Markov sources, source coding, Huffman coding, communication channels, discrete channel capacity, continuous channel capacity, Galois field GF(2), linear block codes, Hamming codes, cyclic codes, systematic codes, BCH and CRC codes, burst error correcting codes.

Assessment: Written exam at the end of the semester. Given projects have 30%-40% weight on the total course grade.