| Course label : | |
|---|---|
| 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) : | LE1_1_MA_MIN_ANM - Analyse numérique matricielle |
Education team
Teachers : Mister PHILIPPE KUBIAK / Mister MICHEL HECQUET
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: - coding of real numbers (ieee notation, floating point, Simple and Double precision ...) - solving of equation of the type f (x) = 0 (methods of Newton, dichotomic and secant) - resolution of systems of equations (method of Cramer, Gauss-Jordan, decomposition LU and QR) - simplex method Skills developed: - solve a mathematical problem using an algorithm
Sustainable development goals
Knowledge control procedures
Fixed Exam
Comments:
Online resources
Pedagogy
Sequencing / learning methods
| Number of hours - Lectures : | 0 |
|---|---|
| Number of hours - Tutorial : | 22 |
| 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 |