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Our engineering & Master degrees

> Studies

Numerical methods - 4PMFNUM4

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  • Number of hours

    • Lectures : 15.0
    • Tutorials : 15.0
    • Laboratory works : 34.0
    ECTS : 4.5

Goals

  • 1. Solving numerically different problems associated to the modeling in physics (ordinary differential equations, partial differential equations, optimization,…).
  • 2. Present different Numerical Tools (integration, interpolation, solving systems of equations) as well as methods (Finite Difference method, Finite Element Method,…).
  • 3. Introduce discrete modeling techniques (Monte Carlo, Cellular Automata, genetic algorithms …).

TO SEE FICHE 2A-SIM 4PMMNUM9

Contact Annie FOURNIER

Content

Parts of 4h : course/tutorial

  • Introduction to the art modelling, introduction to the software Matlab
  • Ordinary Differential Equations
  • Integration / Interpolation
  • Finite Difference Method
  • Finite Element Method
  • Solving systems of equations
  • Cellular Automata
  • Monte Carlo method
  • Optimization
  • Genetic Algorithms


Prerequisites

Teaching methods : 30h Theoretical classes interconnected with 30h of tutorials
Language : Classes and assessment in English, Bibliography In English.

Tests

The exam is given in english only 

Closed-book Final Exam : Theoretical and Practical



Additional Information

This course is given in english only EN

Curriculum->FAME->Semester 3
Curriculum->Internationals Cursus->Semester 3
Curriculum->Master RI FAME->Semester 3
Curriculum->Master RI MANUEN->Semester 3

Bibliography

  • Raabe D.: Computational Materials Science, Wiley-VCH, (1998)
    Numerical recipes: http//www.nr.com

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Date of update August 28, 2014

Université Grenoble Alpes