Number of hours
- Lectures 2.0
- Projects -
- Tutorials 2.0
- Internship -
- Laboratory works 112.0
ECTS
ECTS 5.0
Goal(s)
The outcomes of this course are :
- to specify and understand basic algorithms
- to master programmation with C and Python for numerical resolution of problems
- to study basic numerical methods for electrical and mechanical issues
Philippe (Ense3) MARIN
Content(s)
Practical courses.
Groups of two students.
Topics :
- modular programmation and function parameters
- dynamic memory reservation
- notions of strings, file access, tables and data structuration
Numerical methods will be able to solve :
- discretization of partial derivative equations
- resolution of linear systems
- resolution of partial derivative equations
No prerequisites
Session normale / First session
Evaluation rattrapable (ER) / ER assessment : devoir surveillé écrit de 2h / 2 hours supervised written exam
Evaluation non rattrapable (EN) / EN assessment : comptes rendus de BE / Lab reports
Si situation 100% distancielle / If distant learning mandatory:
Evaluation rattrapable (ER) / ER assessment : 2h d'examen écrit à distance / 2 hours homework
Evaluation non rattrapable (EN) / EN assessment : comptes rendus de BE / Lab reports
Moyenne de l'UE / Course Unit assessment = ER 50% + EN 50%
The course exists in the following branches:
- Curriculum - Year 1 Engineering Bachelor Degree - Semester 6
Course ID : 3EUS2OIN
Course language(s):
You can find this course among all other courses.