Public Engineering School in Computer Science

F4 – Scientific Computing and Modeling

Filière 4 - Calcul et modélisation scientifiques



icon_users_multiple  Pr. Philippe Mahey


icon_users_multiple  Dr. Gilles Leborgne



The view adopted here is that of considering the computer more as a tool than as a means of storing information. The term modeling should be taken here in the sense of mathematical and computational tools. The aim is to train engineers to master the relationship between real systems and digital models, able to develop and test complex software. Computer engineers we hope to train here will:

  • Participate in multidisciplinary teams, mathematical and computer modeling of continuous and discrete systems.
  • Propose specific algorithmic processing or the use of existing software tools on the market.
  • Evaluate the behavior of physical systems, processes or computational methods, suggest improvements that can result from tests.

 The computer engineer must therefore, more than others perhaps, interact with other areas and work collectively.


IT is treated as a computational, modeling, image processing and data tool. The methods studied are based on applied mathematics, operations research, data analysis and parallel computing. Applications addressed include among others mechanics, physics, economics, imaging, and telecommunications.

Materials and tools

  • Numerical calculation: Matlab
  • Optimization: CPLEX, AMPL
  • Parallel computing: MPI
  • CAD: Catia
  • High performance StatisCalculs: GPU, CUDA


Major industries (Michelin, Valeo, PSA …), manufacturers or telecom operators (France Telecom, Alcatel), air and land carriers (Air France, SNCF), service companies involved in computer engineering projects, research and development centres (CEA, CNES, Orange Labs, INSEE).

Engineers from this option join design, development, modeling teams and carry out research within multidisciplinary projects with high innovative potential.

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