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Provide the theoretical fundamentals for the quantitative measurement of information (what is a bit of information?), Representation, storage, transmission, protection and information hiding. Application to lossless compression, error correcting codes, transmission security and content security (steganography).
Probability
N1 = E1
N2= E2
The course exists in the following branches:
Course ID : 3MMTINF
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C. Shannon, W. Weaver, La théorie mathématique de la communication, Cassini, avril 2018.
Théorie de l'information et du codage. O. Rioul. Hermès, 2007.
Elements of Information Theory. T.M. Cover, Joy A. Thomas. John Wiley & Sons Inc, 2006.
David J.C. MacKay “Information Theory, Inference, and Learning Algorithm”, Cambridge Univ. Press, 2003. http://www.cs.toronto.edu/~mackay/itila/book.html
R.G. Gallager, « Information Theory and reliable communication », Wiley, 1968
Date of update January 15, 2017