Ense3 rubrique Formation 2022

- 4EUAMON6

  • Number of hours

    • Lectures 4.0
    • Projects -
    • Tutorials 4.0
    • Internship -
    • Laboratory works 34.0
    • Written tests -

    ECTS

    ECTS 2.0

Goal(s)

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.

Responsible(s)

Brahim RAMDANE

Content(s)

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).

Test

Continuous assessment (CC) : projects and lab reports

CC 100%

Calendar

The course exists in the following branches:

  • Curriculum - Master of Engineering GEE - Semester 7-8
see the course schedule for 2023-2024

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).