- Information representation: decorrelation coding and entropic coding.
- Information security: cryptographic coding.
- Information correction: channel coding theory and error-correcting codes.
At the end of this learning unit, the student is able to :
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:
Given the learning outcomes of the "Master  in Computer Science" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
Students completing this course successfully will be able to
The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
- 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.
- LFSAB1402 : solid basic knowledge in computer science
- LFSAB1103 : solid basic knowledge in mathematics
- 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.