M1 - Computational Physics (PhysNum)

Fluids are all around us at all times and on every scale. Understanding fluid mechanics means understanding the mechanics of our surroundings—air and water, in particular. As such, hydrodynamics is part of a physicist’s basic knowledge.

The course “Hydrodynamics” provides an introduction to the mechanics of ideal incompressible fluids (Euler) and Newtonian viscous fluids (Navier-Stokes). Classical flow patterns are presented, along with the concepts of the boundary layer, instability, and turbulence. The focus is on physical concepts rather than on advanced mathematical or numerical solution methods.

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English tutorial course for students in the Master's 1 Physics program who are working toward professional proficiency in scientific English.

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This course is one of the cornerstones of modern physics. It provides a body of knowledge that is strictly necessary for all physics tracks, as it lays the groundwork for the theoretical description of the interaction between the electromagnetic field and elementary quantum systems such as two-level systems, atoms, and molecules. It also provides the knowledge necessary for understanding lasers, modern optical devices, and spectroscopic methods and analyses.

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Through two specific examples (X-ray diffraction and vibrations), this module shows in detail how the physical properties of a solid are modeled. The formalism will also be applied to finite systems, such as nanoparticles, and will remain valid for amorphous materials; however, special attention will be given to periodic systems (ranging from linear chains to protein crystals, including graphene and silicon). The concept of reciprocal lattice will naturally arise in connection with this periodicity.

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Introduction to Advanced Statistical Physics: grand canonical ensemble; quantum statistics; quantum fluids (Bose-Einstein condensation, thermal radiation; Sommerfeld theory); phase transitions; Ising model; mean-field theory; dynamics of complex systems.

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A 10-ECTS supervised project during which groups of students work on developing software for research or teaching.

This project is designed to give students their first semi-professional experience by working in groups of two or more on a fairly large-scale project, typically proposed by fellow researchers who wish to develop and/or expand software intended for research purposes or for the general public.

Supervision is provided by fellow physicists and, in some cases, computer scientists. Students submit their code along with documentation. A report is written, and an oral defense is held.    

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The EU course “Condensed Matter Physics 2: Electronic Properties” is intended for students interested in solid-state physics.

Following on from the course unit “Condensed Matter Physics 1: Structural Properties,” this course unit covers the properties of electrons in crystalline solids, the band structure of electronic energy levels, and the basic concepts of semiconductor physics.

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Modern experimental physics generally requires the setup of a data acquisition system of varying complexity involving different types of instruments—such as sources, sensors, actuators, etc.—and a controller (such as a computer). The objective of this course unit is to familiarize students with this type of problem so that they can set up such a data acquisition system. On the controller side, the control logic will be implemented in Python (specifically using the PyVisa library).  

- Overview of the most common communication interfaces/ports: serial (RS-232, USB), parallel (GPIB), and network (Ethernet) (CM).

- Implementation of simple examples of communication, device configuration, and data acquisition (lab).

- Development of a more comprehensive data acquisition system through projects (practical training). 

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Knowing how to collect and process data are essential skills in a scientific and/or technical professional setting. The objective of this course is to address, as effectively as possible, three types of standard professional skills:

· Advanced use of spreadsheets and graphing software (MS Excel, LO-CALC) for scientific and technical purposes

· Network interconnections: infrastructure, the TCP/IP protocol suite, security

· Introduction to relational databases (MS Access, LO-BASE) – concepts and terminology, creating queries, graphical reports, forms.

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