Numerical analysis – level 2

Category: Science and technology

Semester : Semester 2 (S2)

ECTS credits

2 ECTS – 20 hours

Number of places

40 seats

Teaching locations

(S2) North Campus - Moufia

General rules


  • From the moment you have validated a UEO, you cannot submit your application a second time to the same UEO.

  • You must be covered by civil liability which may be requested at any time by the speakers or the administration.

  • The documents that we advise you to consult: the Specific Regulations of WEU and F.A.Q

Target audience


  • Exclusively for students registered in General License


You must check that your sector is correct concerned by WEU.

Priority licensing levels

License 3

Recommended sectors

Recommended for students of Mathematics and Science and Technology.

Prerequisites

Have validated level 1 of the UEO

In Algebra: mastery of vector spaces, diagonalization

Programming: python mastery

Description of the WEU

This UEO is an introduction to numerical analysis, that is to say the presentation of computer methods (algorithms) making it possible to numerically solve continuous mathematics problems. The problems presented will be:

  • Direct method for solving linear systems: Cholesky, QR by Householder,
    the Cholesky method is a modification of the LU factorization (seen in numerical analysis level 1) for positive definite symmetric matrices

  • Search for eigenvalues ​​and eigenvectors: power method and its derivatives, QR method.

WHAT DO I LEARN? Targeted RNCP skill blocks

Implementation of methods and tools from the disciplinary field


Digital and digital uses


Use of data for analysis purposes


Written and oral expression and communication


Teaching methods

Face

 

Assessment methods

Continuous monitoring

Forecast timetable

UEO planning Numerical analysis 2 - S2

The UEOs do not appear on the Timetable (EDT) of your License.

The UEO managers will communicate to you directly any changes to EDT that may occur during the semester.

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Managers of the UEO North Campus and South Campus – Department of Studies and Training Management (DEPF):

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