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Grenoble INP - UGA
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Ecole nationale supérieure de l'Énergie, l'Eau et l'Environnement
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Engineering school in energy, water and environment
Our engineering & master degrees
Our engineering & master degrees

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- 4EUAMON6

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  • Number of hours

    • Lectures : 4.0
    • Tutorials : 4.0
    • Laboratory works : 34.0
    • Projects : -
    • Internship : -
    • Written tests : -
    ECTS : 2.0
  • Officials : Brahim RAMDANE

Goals

This module aims to train engineering student-apprentice on essential concepts of numerical methods and optimization. Optimization methods aim to design and improve the efficiency of these systems. All student work is done on computer.

Content

This course is structured around these axes:

Optimization and Design of experiments ( 8 h):
• Optimization Methods: stochastic and deterministic algorithms.
• Method of numerical design of experiments.

In this part, students use industrial software (Got-it and Flux) in order to make lab works (20h):

• Problems and optimization algorithms
• Design of Experiments (Role-play)
• Numerical modeling and optimization of a die press with electromagnet.

Prerequisites

Basic notions in computer science.
Courses of numerical methods (1A).

Tests

Continuous assessment (CC) : projects and lab reports

CC 100%

Calendar

The course exists in the following branches:

  • Curriculum - Master of Engineering GEE - Semester 8
see the course schedule for 2022-2023

Additional Information

Course ID : 4EUAMON6
Course language(s): FR

You can find this course among all other courses.

Bibliography

Coulomb J.L., "Optimisation", chapitre 8 de "Electromagnétisme et problèmes couplés", 'Electromagnétisme et éléments finis 3', EGEM, Hermes (2002).

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Date of update February 8, 2017

Université Grenoble Alpes