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COM-102: Advanced information, computation, communication II

Résumé

Text, sound, and images are examples of information sources stored in our computers and/or communicated over the Internet. How do we measure, compress, and protect the informatin they contain?

Séances de cours

Enseignant·e

Michael Christoph Gastpar

Michael Gastpar is a (full) Professor at EPFL. From 2003 to 2011, he was a professor at the University of California at Berkeley, earning his tenure in 2008. He received his Dipl. El.-Ing. degree from ETH Zürich, Switzerland, in 1997 and his MS degree from the University of Illinois at Urbana-Champaign, IL, USA, in 1999. He defended his doctoral thesis at EPFL on Santa Claus day, 2002. He was also a (full) Professor at Delft University of Technology, The Netherlands. His research interests are in network information theory and related coding and signal processing techniques, with applications to sensor networks and neuroscience. He is a Fellow of the IEEE. He is the co-recipient of the 2013 Communications Society & Information Theory Society Joint Paper Award. He was an Information Theory Society Distinguished Lecturer (2009-2011). He won an ERC Starting Grant in 2010, an Okawa Foundation Research Grant in 2008, an NSF CAREER award in 2004, and the 2002 EPFL Best Thesis Award. He has served as an Associate Editor for Shannon Theory for the IEEE Transactions on Information Theory (2008-11), and as Technical Program Committee Co-Chair for the 2010 International Symposium on Information Theory, Austin, TX.

Source officielle

https://edu.epfl.ch/coursebook/fr/advanced-information-computation-communication-ii-COM-102

Page Moodle

http://go.epfl.ch/COM-102

Résumé

Text, sound, and images are examples of information sources stored in our computers and/or communicated over the Internet. How do we measure, compress, and protect the informatin they contain?

Séances de cours

Enseignant·e

Michael Christoph Gastpar

Source officielle

https://edu.epfl.ch/coursebook/fr/advanced-information-computation-communication-ii-COM-102

Page Moodle

http://go.epfl.ch/COM-102

Séances de ce cours (54)

Code d'information: Source, Cryptographie, Canal

Couvre le codage source, la cryptographie et le codage canal pour les systèmes de communication.

Droit de la probabilité totale

Explore la Loi de la Probabilité Totale et ses applications dans des scénarios réels, introduisant des concepts clés en théorie des probabilités.

Règle de chaîne pour l'entropie

Explore la règle de chaîne pour l'entropie, décompose l'incertitude dans les variables aléatoires et illustre son application avec des exemples.

Théorème du codage des sources: fondamentaux et modèles

Couvre le théorème de codage des sources, les modèles de sources, l'entropie, les sources régulières et les exemples.

Sources fixes : Propriétés et Entropie

Explore les sources fixes, l'entropie, la régularité et l'efficacité du codage, y compris un problème difficile avec les boules de billard.

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