| Course label : | Maths and neural networks |
|---|---|
| Teaching departement : | MIN / Applied Mathematics and General Computing |
| Teaching manager : | Madam AMANDINE LERICHE |
| Education language : | French |
| Potential ects : | 0 |
| Results grid : | |
| Code and label (hp) : | LA1_A_MA_MIN_MRN - Maths et réseaux de neurones |
Education team
Teachers : Madam AMANDINE LERICHE / Mister VINCENT LEDDA
External contributors (business, research, secondary education): various temporary teachers
Summary
The aim is to harmonize and supplement the knowledges of students in mathematics, particularly in algebra.
Educational goals
At the end of the course, the student will be able to : - Understand the basics of linear algebra (concept of algebraic structure, vector spaces). - Solve the differential and recurrence equations with constant coefficients - Use matrices to solve some types of multivariate problems At the end of the course, the student will have progressed in: - Analyze and put in place a scientific approach of problem solving - Bring a solution to a problem - Team working Knowledges worked: - Vector spaces, linear applications, matrices, determinants, reduction (eigenvalues, vectors, proper, diagonalization, trigonalisation) - Euclidean endomorphisms. - Algebraic structures: groups, rings, fields, arithmetic, ... - Polynomials, rational fractions: decomposition into simple elements - Complex numbers and trigonometry, usual functions, differential equations, numerical series, Fourier series , Laplace transform, Fourier transform. Skills developed: - To understand a technical problem - Analyze and put in place a scientific approach of problem solving
Sustainable development goals
Knowledge control procedures
Fixed Exam
Comments: Continuous assessment: 3 exams will be done during the lessons.
Online resources
Pedagogy
Lessons are given by the teacher in front of student.
Sequencing / learning methods
| Number of hours - Lectures : | 10 |
|---|---|
| Number of hours - Tutorial : | 8 |
| 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
Knowledges in maths with a L2 level is recommended. Particularly : linear algebra, simple elements decomposition, Laplace transform.