Numerical Physics & Machine Learning - Département de Physique de l'Ecole Normale supérieure

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Numerical Physics & Machine Learning

Quick links

Next student seminar :
Access to the program

Here you can find information about your internships:
Experimental Internship - Undergraduate program
Master ICFP first year Internship

News : ICFP Research seminars
November 14 - 18, 2022 :
All information about the program

Contact us - Student support and Graduate School office :
Tél : 01 44 32 35 60
enseignement@phys.ens.fr

Quick links

Next student seminar :
Access to the program

Here you can find information about your internships:
Experimental Internship - Undergraduate program
Master ICFP first year Internship

News : ICFP Research seminars
November 14 - 18, 2022 :
All information about the program

Contact us - Student support and Graduate School office :
Tél : 01 44 32 35 60
enseignement@phys.ens.fr

Enseignants : Alberto Rosso et Florent Krzakala

Chargé de TD : Marko Medenjak

Nombre d’ECTS : 6

Langue d’enseignement : Anglais

Modalité d’évaluation : 3 devoirs maison (30 points) + 1 QCM (20 points), un examen oral (50 points)

Modalité d’examen en cas de confinement : 3 devoirs maison (50%) et un examen oral oral sous la forme d’une discussion ou un exercice à résoudre (50%)

Prérequis :

The program language that we use is Python 3. No previous experience in programming is required.

Description :
We will cover many algothims used in many-body problems and complex systems: Monte Carlo methods, molecular dynamics and optmization in complex landscapes. We shall also discuss the use of some machine learning algorithms (Boltzmann machines, Auto-encoder, Deep Learning) for physics problems.

We focus on algorithms and physics, not on programming and heavy numerics. The theoretical lecture is followed by a tutorial introducing concrete numerical exercises. You will have to hand in 3 homeworks.

Quick links

Next student seminar :
Access to the program

Here you can find information about your internships:
Experimental Internship - Undergraduate program
Master ICFP first year Internship

News : ICFP Research seminars
November 14 - 18, 2022 :
All information about the program

Contact us - Student support and Graduate School office :
Tél : 01 44 32 35 60
enseignement@phys.ens.fr