| Course label : | Numerical analysis |
|---|---|
| Teaching departement : | MIN / Applied Mathematics and General Computing |
| Teaching manager : | Mister PHILIPPE KUBIAK |
| Education language : | French |
| Potential ects : | 0 |
| Results grid : | |
| Code and label (hp) : | LE2_3_MA_MIN_ANI - Analyse Numérique |
Education team
Teachers : Mister PHILIPPE KUBIAK
External contributors (business, research, secondary education): various temporary teachers
Summary
discovery of numerical methods and Scilab
Educational goals
At the end of the course, the student will be able to: - solve a mathematical problem Contribution of the course to the competency framework; At the end of the course, the student will have progressed in: - solve a mathematical problem using an algorithm Knowledge worked: - polynomial interpolation (Newton methods, Lagrange, least squares, cubic splines ...) - integration, computation of integrals (methods of Rectangles, Romberg, Gauss-Legendre ...) - resolution of differential equations (Euler method, Taylor, Runge Kutta method) - modeling by block diagram (Xcos of Scilab, Simulink equivalent of Matlab) Skills developed: - solve a mathematical problem using an algorithm
Sustainable development goals
Knowledge control procedures
Continuous Assessment / Fixed Exam
Comments: Terminal Control with computer
Online resources
Pedagogy
Sequencing / learning methods
| Number of hours - Lectures : | 0 |
|---|---|
| Number of hours - Tutorial : | 18 |
| Number of hours - Practical work : | 0 |
| Number of hours - Seminar : | 0 |
| Number of hours - Half-group seminar : | 0 |
| Number of student hours in TEA (Autonomous learning) : | 0 |
| Number of student hours in TNE (Non-supervised activities) : | 0 |
| Number of hours in CB (Fixed exams) : | 0 |
| Number of student hours in PER (Personal work) : | 0 |
| Number of hours - Projects : | 0 |
Prerequisites
need ANU1 from LE1