Olivier Lévêque

EPFL IC IINFCOM LTHI
INR 132 (Bâtiment INR)
Station 14
1015 Lausanne

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

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Administrative data

Fields of expertise

Information theory 
 
Random matrices 
 
Stochastic calculus

Publications

Infoscience publications

Teaching & PhD

Teaching

Communication Systems

Computer Science

PhD Programs

Courses

Markov chains and algorithmic applications

The study of random walks finds many applications in computer science and communications. The goal of the course is to get familiar with the theory of random walks, and to get an overview of some applications of this theory to problems of interest in communications, computer and network science.

Information, Computation, Communication

On one side, this course covers the concepts of algorithms, the representation of information, signal sampling and compression, and an overview of systems (CPU, memory, etc.). On the other side, an introduction to programming is given.

Information, Computation, Communication

The course objectives are to introduce the students to algorithmic thinking, to get them familiar with the foundations of communication and computer sciences and to develop a first set of skills in programming with the Python language.

Information, Computation, Communication

On one side, this course covers the concepts of algorithms, the representation of information, signal sampling and compression, and an overview of systems (CPU, memory, etc.). On the other side, an introduction to programming in Python is given.

Introduction to quantum computation

The course introduces the paradigm of quantum computation in an axiomatic way. We introduce the notion of quantum bit, gates, circuits and we treat the most important quantum algorithms. We also touch upon error correcting codes. This course is independent of COM-309.