Centrale Lille Course Catalogue

Fundamental notions of Mathematics

Course label : Fundamental notions of Mathematics
Teaching departement : EEA / Electrotechnics - Electronics - Control Systems
Teaching manager : Mister PIERRE-ANTOINE THOUVENIN / Mister PIERRE CHAINAIS
Education language :
Potential ects : 0
Results grid :
Code and label (hp) : MR_DS_S1_FNM - Fundamental notions of Math

Education team

Teachers : Mister PIERRE-ANTOINE THOUVENIN / Mister PIERRE CHAINAIS
External contributors (business, research, secondary education): various temporary teachers

Summary

• Linear algebra (8h) ◦ Hermitian spaces, scalar product, projection matrices, orthogonal (unitary) and symmetric (self-adjoint) matrices. ◦ least squares problems ◦ matrix norms ◦ Singular Value Decomposition (SVD) and applications • Differential calculus and optimization (8h) ◦ functions of several variables, gradient, hessian ◦ application to gradient descent and convex problem ◦ optimization problems without and with constraints • Integration (8h) ◦ curves in R^d : line integrals and surface integrals ◦ multiple integrals: Fubini’s theorem ◦ change of variables ◦ surfaces in R^d and surface integrals ◦ Stokes theorem

Educational goals

After successfully taking this course, a student should be able to: • Think geometrically about linear algebra on Hermitian spaces • Optimize a function of several variables • Compute integrals in several variables

Sustainable development goals

Knowledge control procedures

Continuous Assessment
Comments: Exam, grading scale: (min) 0 – 20 (max) Average passing grade = 10/20

Online resources

S Lang , Undergraduate Analysis, Springer (1997) S.DIneen, Multivariate calculus and Geometry, Springer G. Strang, Linear Algebra and Learning from Data, Wellesley-Cambridge Press

Pedagogy

24 hours, 8 lectures 4 exercises Language of instruction is specified in the course offering information in the course and program directory. English is the default language.

Sequencing / learning methods

Number of hours - Lectures : 12
Number of hours - Tutorial : 12
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

Bases of linear algebra, integration and analysis.

Maximum number of registrants

Remarks