Information Theory and Coding

 Basic concepts, Definition and measures of information, Εntropy, Μutual information, Discrete information sources, Memoryless Sources and Markov models, Continuous Information Sources, Sampling theorem, Channel capacity, Noiseless channels, Channel coding, Channels with noise, Shannon’s theorem of coding, Analysis and design of error-control channel codes, Hamming codes, Block codes, Convolutional codes, Cryptography and information theory.

• Introduction to information theory
• Description of coding methods

• ΣΤΟΙΧΕΙΑ ΤΗΣ ΘΕΩΡΙΑΣ ΠΛΗΡΟΦΟΡΙΑΣ, THOMAS M. COVER – JOY A. THOMAS, ΙΤΕ/ΠΑΝΕΠΙΣΤΗΜΙΑΚΕΣ ΕΚΔΟΣΕΙΣ ΚΡΗΤΗΣ, 1H/2014, ΗΡΑΚΛΕΙΟ ΚΡΗΤΗΣ , 41957449
• ΒΑΣΙΚΕΣ ΑΡΧΕΣ ΘΕΩΡΙΑΣ ΚΩΔΙΚΟΠΟΙΗΣΗΣ ΚΑΙ ΚΡΥΠΤΟΓΡΑΦΙΑΣ, D. R. HANKERSON, D. G. HOFFMAN, D. A. LEONARD, C. C. LINDNER, K. T. PHELPS, C. A. RODGER, J. R. WALL,    ΕΚΔΟΣΕΙΣ ΚΛΕΙΔΑΡΙΘΜΟΣ ΕΠΕ, 2η/2010, ΑΘΗΝΑ, 21373