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.
Basic notions in computer science.
Courses of numerical methods (1A).
Test
Session normale / First session
EN = évaluation non rattrapable / EN assessment :
3 comptes-rendus de BE / 3 lab reports.
CC 100%
Calendar
The course exists in the following branches:
- Curriculum - Master of Engineering GEE - Semester 7-8
Additional Information
Course ID : 4EUAMON6
Course language(s): 
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).