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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
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.
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).
Continuous assessment (CC) : projects and lab reports
The course exists in the following branches:
Curriculum - Master of Engineering GEE - Semester 8