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Computational Methods

Computational tools are an integral part of the Physics & Chemistry Master's programme. Students receive training in modern programming languages and numerical simulation techniques, commonly used by numerous researchers.
At every level, Physics & Chemistry Master's students learn the computational methods that will prove essential for their future research activities. This training includes learning diverse programming languages (C, Python, etc.) and mastering data acquisition and analysis software (Matlab, Scilab, Labview, etc.). Via various computational projects and during research placements, students can become familiar with numerical simulation or formal computing using Mathematica.  Students' contact with researchers at the Blaise Pascal Centre or the Complex Systems Institute (IXXI), both situated on-site at ENS Lyon, further facilitates their immersion in the world of computational modelling.
At the M2 level, the Master's offers a "Computational Modelling in Physics and Chemistry" course programme, shared with the AtoSiM Erasmus Mundus European Master's Programme, which allows students to specialize in computational methods with a view to pursuing a thesis in this field.

Numerical resources at ENS Lyon

  • Computer resources:  students enjoy 24-hour access to three computer rooms equipped with 10 Windows terminals and 35 Linux terminals. The practical coursework rooms are also equipped with mobile PCs and laptops, on which are installed all classic software programs for data acquisition and processing (Labview, Regressi, Synchronie, etc.).
  • The Blaise Pascal Centre (CBP): the CBP is a research centre for scientific modelling and computing that relies on a group of renowned laboratories and teams in fields ranging from engineering to bioinformatics, from universe sciences to medical modelling, from physics and chemistry to complex systems. The CBP organizes numerous workshops and seminars, and is located at the Monod site of ENS Lyon. As part of the "Introduction to Computational Methods" module, students have access to the CBP cluster (392 cores and 912 Go of RAM) via a room equipped with 20 Linux terminals.
  • The Complex Systems Institute (IXXI): the IXXI is not a laboratory, but rather a simplified structure that encourages interdisciplinary research around the modelling of complex systems, with such fields of application as: biological and social systems, technological networks, etc. IXXI is located at 5 Rue du Vercors, immediately next to the Monod site of ENS Lyon.