Catalogue des formations

Diplômes intégrant cet élément pédagogique :

• Master Mathématiques et applications

Descriptif

The aim of this course is to study various useful applications, libraries and methods for software engineering related to applied mathematics. For example :

•        C++ project management (git and/or svn)
•        Development and profiling
•        Boost library
•        Linear algebra (Eigen)
•        Prototyping and interfacing using Python
•        Post processing and visualization tools (VTK, Paraview, GMSH)

 

This course deals with :

Topic 1: Software Engineering
Topic 2: Programming

Evaluation :

Practial sessions reports and oral presentation at the end of the course

Pré-requis recommandés

Linear algebra: fundamental notions (matrices, linear functions), Programming in C++ and python

Compétences visées

At the end of the course, students will be able to manage and couple different libraries, to debug correctly a code (find memory leaks for example).

Bibliographie

•        https://git-scm.com/

•        http://www.boost.org/

•        http://eigen.tuxfamily.org/index.php?title=Main_Page

•        http://www.vtk.org/

Informations complémentaires

Méthode d'enseignement : En présence
Lieu(x) : Grenoble
Langue(s) : Anglais