Description

The aim of this first-semester course is to review the classical techniques of computational physics, using the Python language. After a brief review of the basics of the language and the tools for data analysis and representation, we'll study Monte-Carlo techniques, classical methods of interpolation, integration and differentiation, solutions of systems of ordinary differential equations and solutions of systems of partial differential equations. These notions will serve as a foundation for the concepts that will be further discussed during the second semester course.  The lectures are accompanied by exercise sessions on machines.

Compétences visées

•    Applying knowledge in physics;

•    Apply methods from mathematics and digital technology;

•    Produce a critical analysis, with hindsight and perspective;

•    Develop and manage an experimental project, including digital aspects;

•    Operate an experimental device, including digital aspects, from use to data analysis;

•    Communicate in writing and orally, including in English.

Syllabus

• Basic Python and Data representation
• Monte-Carlo and Random Processes
• Integration and differentiation
• Ordinary Differential Equations
• Partial Differential Equations

Contacts

Responsable(s) de l'enseignement

• Dominique Aubert