Duration
30h Th, 15h Pr, 30h Proj.
Number of credits
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the second semester
Schedule
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 course 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, hybrid learning)
2nd semester
Organisational adjustments related to the current health context
Recommended or required readings
Available at AEES
Assessment methods and criteria
Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.
Any session :
- In-person
written exam ( multiple-choice questionnaire, open-ended questions )
- Remote
written exam ( multiple-choice questionnaire, open-ended questions )
- If evaluation in "hybrid"
preferred remote
Additional information:
Practical work for each student.
Written exam (June).