Michael C. Gastpar

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Full Professor

michael.gastpar@epfl.ch +41 21 693 75 23

EPFL IC IINFCOM LINX
INR 130 (Bâtiment INR)
Station 14
CH-1015 Lausanne

Web site: Web site: https://linx.epfl.ch/

EPFL IC SSC-GE
INR 130 (Bâtiment INR)
Station 14
CH-1015 Lausanne

Web site: Web site: https://ssc.epfl.ch

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Administrative data

Fields of expertise

Information Theory
Signal Processing
Communications
Systems Neuroscience

Publications

Selected publications

Teaching & PhD

Teaching

Communication Systems

Computer Science

PhD Programs

Doctoral program in computer and communication sciences

Doctoral Program in Neuroscience

Courses

Advanced Topics in Information Theory

The class will focus on information-theoretic progress of the last decade. Topics include: Network Information Theory ; Information Measures: definitions, properties, and applications to probabilistic models.