| Course label : | Computer science |
|---|---|
| Teaching departement : | MIN / Applied Mathematics and General Computing |
| Teaching manager : | Mister XAVIER BRIOIT |
| Education language : | |
| Potential ects : | 0 |
| Results grid : | |
| Code and label (hp) : | ENSCL_CPI_M3_1_1_2 - Mathématiques |
Education team
Teachers : Mister XAVIER BRIOIT
External contributors (business, research, secondary education): various temporary teachers
Summary
In the first year, students acquired the language elements needed to implement complex algorithms in various fields of mathematics. In the second year, we will explore how these concepts are put to use in the numerical analysis of mathematical problems.
Educational goals
Students must be able to use Python to numerically process the following: - Database management (SQL). - Plot parameter arcs and polar data curves. - The approximate calculation of integrals that are generalised (or not) using different methods (rectangles, trapezium, Simpson). - The search for elements specific to a matrix in order to reduce and apply them. - Modelling of probabilistic problems in a discrete framework. - Modelling of probabilistic problems in a continuous framework. - Numerical processing of images and steganography.
Sustainable development goals
Knowledge control procedures
Continuous Assessment
Comments: Two tests on a computer are given a mark out of 20
and one exercise is given a mark out of five for the four three-hour mathematics assignments: disconnected (on paper) exercise related to the mathematics problem.
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
Mastery of the first-year programme.