Study Programmes 2017-2018
WARNING : 2016-2017 version of the course specifications
Information and coding theory
Duration :
30h Th, 15h Pr, 30h Proj.
Number of credits :
Master in biomedical engineering (120 ECTS)5
Master in data science (120 ECTS)5
Master in electrical engineering (120 ECTS)5
Master of science in computer science and engineering (120 ECTS)5
Master in data science and engineering (120 ECTS)5
Lecturer :
Louis Wehenkel
Language(s) of instruction :
English language
Organisation and examination :
Teaching in the second semester
Units courses prerequisite and corequisite :
Prerequisite or corequisite units are presented within each program
Learning unit contents :
NB: This course is given in English, since the 2013-2014 academic year.
Information theory provides a quantitative measure of the information provided by a message or an observation. This notion was introduced by Claude Shannon in 1948 in order to establish the limits of what is possible in terms of data compression and transmission over noisy channels. Since these times, this theory has found many applications in telecommunications, computer science ans statistics. The courss is composed of three parts.
  • The foundations of information theory.
  • An introduction to coding theory for data compression, error-free communication, and cryptography.
  • An overview of other applications of information theory.
Learning outcomes of the learning unit :
Successful completion of this course means that the student has acquired a good understanding of the principles of information theory and will be able to exploit these principles in order to analyze and design source and channel coding algorithms.
Prerequisite knowledge and skills :
Probability calculus and elements of statistics.
Planned learning activities and teaching methods :
Exercise sessions and homework.
Mode of delivery (face-to-face ; distance-learning) :
2nd semester
Recommended or required readings :
Available at AEES
Assessment methods and criteria :
Practical work for each student. Written exam (June).
Work placement(s) :
Organizational remarks :
Web page:
Contacts :