Phelma Formation 2022

Modelling tools & AI techniques in materials science - 4PMNXMT3

  • Number of hours

    • Lectures 24.0
    • Projects 0
    • Tutorials 40.0
    • Internship 0
    • Laboratory works 0

    ECTS

    ECTS 4.0

Goal(s)

Acquire basic knowledge in various numerical methods applied to material science

Contact Guillaume PARRY

Content(s)

Numerical methods for differential equations. Numerical methods for ordinary differential equations : one step methods, multi steps methods, explicit and implicit methods, prediction correction methods. Notions of precision and stability are presented. Numerical methods to solve partial differential equations : finite difference method, finite volume method, finite element method.



Prerequisites

the course of mathematic
Knowledges : derivative of one variable function and of multiple variables functions, Taylor expansion of functions ; operations between matrices, matrix and vector ; linear system of equations and vectorial operators (gradient, divergence, curl).

Test

Semester 7 - The exam is given in english only 

1rst Session
Written 3h exam - Authorized documents : 50%
Project with Matlab : 50%

2nd Session
Written 2h exam - Authorized documents : 100%



Session 1
50% note projet - Projet sur Matlab
50% note examen - Examen écrit durée 3h - documents autorisés

Session 2
100% note examen - Examen écrit durée 2h - documents autorisés

Additional Information

This course brings 3.5 ECTS to students in UE 4 Applied Mathematics

Semester 7 - This course is given in english only EN
Course list
Curriculum->Engineering degree->Semester 7
Curriculum->Internationals Cursus->Semester 7