Phelma Formation 2022

UE Modelling tools and AI - 4PUFMODE

  • Number of hours

    • Lectures 22.0
    • Projects 0
    • Tutorials 22.0
    • Internship 0
    • Laboratory works 0

    ECTS

    ECTS 4.0

Goal(s)

Know how to write a program to solve a system of linear or non-linear partial differential equations.
Know basic methods for integration, interpolation and solving linear systems.

Contact Annie ANTONI, 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 

Project with Python



Additional Information

Semester 7 - This course is given in english only EN

Course list
Curriculum->Degree Advanced Materials (AM)->Semester 7
Curriculum->Internationals Cursus->Semester 7