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Information theory and coding [ LINGI2348 ]


5.0 crédits ECTS  30.0 h + 15.0 h   2q 

Teacher(s) Louveaux Jérôme ; Pereira Olivier ; Macq Benoît (coordinator) ;
Language English
Place
of the course
Louvain-la-Neuve
Online resources

> https://icampus.uclouvain.be/claroline/course/index.php?cid=INGI2620

Main themes
  • Information representation: decorrelation coding and entropic coding.
  • Information security: cryptographic coding.
  • Information correction: channel coding theory and error-correcting codes.
Aims

Given the learning outcomes of the "Master in Computer Science and Engineering" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:

  • INFO1.1-3
  • INFO2.2
  • INFO5.2
  • INFO6.4

Given the learning outcomes of the "Master [120] in Computer Science" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:

  • SINF1.M1
  • SINF2.2
  • SINF5.2
  • SINF6.4

Students completing this course successfully will be able to

  • explain the notions, methods and results that are used in the analysis and design of information representation, protection and correction systems.
  • present not only general results that determine the possibilities offered by information theory, but also effective compression, security and correction methods.
  • provide some design tools for multimedia (image, sound, data) information coding.
Evaluation methods

Written examination covering both on the theory and the exercises.

Teaching methods

The course consists of magistral courses and sessions learning by exercise which to explore the different facets of the theory.

Content
  • Basic notions in information theory; mutual information and entropy.
  • Discrete source coding by fixed length-codes and variable-length codes.
  • Decorrelation coding and coding gain notions.
  • Basic notions in cryptology; secret-key and public-key cryptographic coding systems.
  • Discrete memoryless channel; capacity notion; noisy channel coding theorem.
  • General block coding theory; role of the minimum distance.  
  • Linear codes: generator matrix and parity-check matrix; syndrome decoding.
  • Study of certain classes of linear block codes: cyclic codes and Reed-Solomon codes.
  • Introduction to convolution codes.
Bibliography
  • R.G. Gallager, "Information Theory and Reliable Communication" , John Wiley, 1968.
  • F.J. MacWilliams and N.J.A. Sloane, "The Theory of Error-Correcting Codes" , North-Holland, 1977.
Other information

Background:

  • LFSAB1402 : solid basic knowledge in computer science
  • LFSAB1103 : solid basic knowledge in mathematics
Cycle et année
d'étude
> Master [120] in Computer Science
> Master [120] in Computer Science and Engineering
> Master [120] in Mathematical Engineering
> Master [120] in Electrical Engineering
Faculty or entity
in charge
> INFO


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