Olivier Lévêque

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Senior Scientist

olivier.leveque@epfl.ch +41 21 693 81 12 http://ipgold.epfl.ch/~leveque/

Citizenship : CH

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

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

EPFL IC SSC-GE
INR 132 (Bâtiment INR)
Station 14
CH-1015 Lausanne

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

Web site: Web site: https://cce.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

Doctoral program in computer and communication sciences

Courses

Advanced probability and applications

In this course, various aspects of probability theory are considered. The first part is devoted to the main theorems in the field (law of large numbers, central limit theorem, concentration inequalities), while the second part focuses on the theory of mar...

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 comm...

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

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.

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.