Olivier Lévêque

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Senior Scientist

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

Citizenship : CH

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

+41 21 693 81 12
Office: INR 132
EPFL > IC > IINFCOM > LTHI

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

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

+41 21 693 81 12
Office: INR 132
EPFL > IC > IC-SSC > SSC-ENS

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

EPFL IC SIN-GE
INN 112 (Bâtiment INN)
Station 14
CH-1015 Lausanne

+41 21 693 81 12
Office: INN 112
EPFL > IC > IC-SIN > SIN-ENS

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

EPFL AVP-SAO GYMN
CM 2 247 (Centre Midi)
Station 10
CH-1015 Lausanne

+41 21 693 81 12
Office: CM 2 247
EPFL > VPA > VPA-AVP-SAO > AVP-SAO > AVP-SAO-EPFL-GYMN

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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

Past EPFL PhD Students

Desgroseilliers Marc , Haddad Serj , Merzakreeva Alla , Özgür Aydin Ayfer ,

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 martingales in discrete time.

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

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.