Number of hours
- Lectures 11.0
- Projects 0
- Tutorials 11.0
- Internship 0
- Laboratory works 22.0
ECTS
ECTS 4.0
Goal(s)
The objective is to provide the tools to solve various problems related to modeling (differential equations, partial differential equations, optimization). Basic tools (integration, interpolation, system solving) are presented, as well as the main methods for integrating PDEs (Finite Differences, Finite Elements).
Contact Raphael BOICHOTContent(s)
(In 4-hour sessions: lecture / tutorial / lab)
Course introduction, introduction to modeling, Matlab initiation (1 session)
Differential equations (2 sessions)
Integration / interpolation (1 session)
Finite differences (1 session)
Finite elements (3 sessions)
System solving (1 session)
Optimization (3 sessions)
Genetic algorithms (1 session)
Prerequisites
Engineering Algorithms and Mathematics
Computer-based exam (3 hours) + continuous assessment (25%)
This course brings 3.0 ECTS to students in Engineer APPRENTISSAGE MEP 2Y
Numerical recipes - the art od scientific computing