Computational and data-driven physics - Département de Physique de l'Ecole Normale supérieure

Why choose this program? Program, courses and calendar Master ICFP 1st year (2023-2024) 2023-2024 Calendar and timetable Courses Internships Program, courses and calendar Master ICFP 1st year (2022-2023) 2022-2023 Calendar and timetable Courses Internships Program, courses and calendar Master ICFP 2nd year 2023-2024 First Semester Second Semester "Physics Now" Seminars 2019/2020 "Physics Now" Seminars 2020/2021 "Physics Now" Seminars 2021/2022 "Physics Now" Seminars 2023/2024 "Physics Now" Seminars 2022/2023 Internships 2023 2024 calendar Program, courses and calendar Master ICFP 2nd year 2022-2023 First Semester Second Semester "Physics Now" Seminars 2019/2020 "Physics Now" Seminars 2020/2021 "Physics Now" Seminars 2021/2022 "Physics Now" Seminars 2022/2023 Internships 2022 2023 calendar Admission and Language Requirements How to apply Information for students Information for International Students Fees and Scholarships Careers Master Intranet Archives Erreur ( A supprimer) Program, courses and calendar Master ICFP 1st year (2021-2022) Program, courses and calendar Master ICFP 1st year (2021-2022) Program, courses and calendar Master ICFP 2nd year 2021-2022 Program, courses and calendar Master ICFP 2nd year 2020-2021 Program, courses and calendar Master ICFP 2nd year 2019-2020 Archives 2015-2016 Archives 2016-2017 Archives 2017-2018 Archives 2018-2019 Archives 2019-2020 Archives 2020-2021

Computational and data-driven physics

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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

Responsible : Remi Monasson (CNRS ENS), Alberto Rosso (ENS PSud).

Number ECTS : 6

Language of instruction: Anglais

Web page: here

Evaluation : Written exam on the theoretical part of the course + homeworks on the practical (computational and statistical inference) aspects.

Prérequis :Basic level in classical and quantum statistical physics. The program language that we use is Python 3. No previous experience in programming is required.

Description : Modern physics is characterized by an increasing complexity of systems under investigation, in domains as diverse as condensed matter, astrophysics, biophysics, etc. Establishing adequate models to describe these systems and being able to make quantitative predictions from those models is extremely challenging. In this course, we will first cover many algorithms used in many-body problems and complex systems, with special emphasis on Monte Carlo methods, molecular dynamics, and optimization in complex landscapes. Second, we will provide statistical inference and machine learning tools to harness the growing availability of experimental data to design accurate models of the underlying, complex, strongly non-homogeneous and interacting systems.
Each theoretical lecture will be followed by a tutorial illustrating the concepts with practical applications borrowed from various domains of physics. We will focus on methods and algorithms and physics, not on programming and heavy numerics!

Prerequisits : Basic level in classical and quantum statistical physics. The program language that we use is Python 3. No previous experience in programming is required.

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