Objectives and Openings
Partial differential equations and analysis in general have undergone spectacular progress over the past few decades. At the same time, progress in numerical methods and improved computer performance have made numerical simulation an essential tool for industry and research. The aeronautical, space, automobile, nuclear power, electricity generation, and material synthesis industries use it extensively. Big research bodies also use numerical simulation to predict the behavior of complex systems.
This degree program aims to provide comprehensive training in these fields, combining more theoretical approaches with concrete developments (modeling and numerical simulation). Sound knowledge of mathematical equations (differential equations, partial differential equations) is required to use and develop numerical approximation methods. Knowledge of the phenomena for which these equations account is also required. Effective implementation of associated approximation algorithms is unimaginable without solid IT knowledge.
The choice of specialization will be done during the first semester.
Anticipated openings are in industry and with research bodies requiring top-level scientists, engineers, and researchers able to develop mathematical theories, run physical phenomena modeling projects, master mathematical aspects of models, and solve problems in an industrial or research context. Partnerships with big research bodies such as CEA, IFPEN, ONERA and INRIA, as well as the world of industry, enable students to find a job that matches their training and enjoy the diversity of applied fields.
The AMS degree program is therefore designed to provide two types of training. The "Analysis and Partial Differential Equations" final specialization trains students as researchers and researcher-lecturers in pure and applied mathematics (partial differential equations, numerical analysis, and scientific calculus). Students on the "Simulation and Calculus" final specialization are trained as engineers with expert knowledge of all aspects of scientific calculus (mathematical modeling of problems from physics, selecting appropriate numerical methods to solve them, and computer-based use of these methods).
Who to contact?
- Coordinators: Laurent Dumas (AMS), Frédéric Rousset (AMS, specialization AM), Sonia Fliss (AMS, specialization MS)
- Secretariat : Liliane Roger, Séverine Simon, Victoria Perez de Laborda