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MS1TIK - Information Theory and Coding in Telecommunications

Course specification
Course title Information Theory and Coding in Telecommunications
Acronym MS1TIK
Study programme Electrical Engineering and Computing
Module Audio and Video Communications
Type of study master academic studies
Lecturer (for classes)
Lecturer/Associate (for practice)
Lecturer/Associate (for OTC)
ESPB 6.0 Status elective
Condition no prerequisite
The goal A systematic explanation of the basics of source and channel coding and elements of cryptography based on Information theory.
The outcome Provide students with the ability to understand basic principles of information theory and design of advanced coding algorithms. Also, they will be able to understand basic compression and cryptography methods.
Contents
Contents of lectures Introduction to information theory. Entropy. Markov chains. State diagram and trellis. Information sources, discrete and continuous. Source coding theorem. Lossless data compression. Channel capacity. Channel coding theorem. Linear block codes. Interleaving. An introduction to cyclic codes. Convolutional codes. Introduction to turbo coding and space-time codes. Information theory and cryptography.
Contents of exercises Excercises and laboratory excercises.
Literature
  1. D. Drajic, P. Ivanis, Introduction in information theory and coding, 3rd ed., Academic mind, Belgrade, 2009.
  2. T.M. Cover, J.A. Thomas, Elements on Information Theory, John Wiley & Sons, 2nd ed, 2006 (Original title)
  3. 2. S. Lin, D. J. Costello, Error Control Coding, fundamentals and applications, 2nd edition, Prentice Hall, New Jersey, 2004. (Original title)
Number of hours per week during the semester/trimester/year
Lectures Exercises OTC Study and Research Other classes
3 1 1
Methods of teaching Lectures, excercises, laboratory excercises
Knowledge score (maximum points 100)
Pre obligations Points Final exam Points
Activites during lectures 5 Test paper 70
Practical lessons 0 Oral examination 0
Projects 0
Colloquia 25
Seminars 0