Study programme 2021-2022Français
Numerical Linear Algebra
Programme component of Bachelor's in Engineering à la Faculty of Engineering

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-B3-IRCIVI-315-MCompulsory UEVANDAELE ArnaudF151 - Mathématique et Recherche opérationnelle
  • VANDAELE Arnaud

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français162000033.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-MARO-008Numerical Linear Algebra1620000Q2100.00%

Programme component

Objectives of Programme's Learning Outcomes

  • Implement an engineering approach dealing with a set problem taking into account technical, economic and environmental constraints
    • Identify and acquire the information and skills needed to solve the problem
  • Understand the theoretical and methodological fundamentals in science and engineering to solve problems involving these disciplines
    • Identify, describe and explain basic scientific and mathematical principles
    • Select and rigorously apply knowledge, tools and methods in sciences and engineering to solve problems involving these disciplines
  • Collaborate, work in a team
    • Interact effectively with other students to carry out collaborative projects.
  • Communicate in a structured way - both orally and in writing, in French and English - giving clear, accurate, reasoned information
    • Argue to and persuade customers, teachers and a board both orally and in writing
    • Give an effective oral presentation, using presentation materials appropriately
    • Present analysis or experiment results in laboratory reports
  • Demonstrate thoroughness and independence throughout their studies
    • Develop their scientific curiosity and open-mindedness
    • Learn to use various resources made available to inform and train independently

Content of UE

QR factorization and least squares, conditioning and stability, system of equations and matrix factorizations, calculation of eigenvalues and eigenvectors, iterative methods

Prior Experience

The Numerical Analysis class (BAB2)

Type of Assessment for UE in Q2

  • Presentation and/or works
  • Oral Examination
  • Written examination

Q2 UE Assessment Comments

The evaluation methods are likely to be adjusted according to the context imposed by the health measures.
These evaluation methods can be composed of personal work (and / or in groups), presentations, written exam, oral exam.
For students who have not respected the 80% participation rule, the evaluation will be based on the theoretical knowledge of the course.
In all cases (physically or remotely), if several parts are to be completed during the evaluation, an exclusion mark (the final mark is equal to the minimum mark of the different parts) will possibly be introduced (if so, it will be announced before the exam).

Type of Assessment for UE in Q3

  • Presentation and/or works
  • Oral examination
  • Written examination

Q3 UE Assessment Comments

The evaluation methods are likely to be adjusted according to the context imposed by the health measures.
These evaluation methods can be composed of personal work (and / or in groups), presentations, written exam, oral exam.
For students who have not respected the 80% participation rule, the evaluation will be based on the theoretical knowledge of the course.
In all cases (physically or remotely), if several parts are to be completed during the evaluation, an exclusion mark (the final mark is equal to the minimum mark of the different parts) will possibly be introduced (if so, it will be announced before the exam).

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-MARO-008
  • Cours magistraux
  • Exercices dirigés
  • Utilisation de logiciels
  • Ateliers et projets encadrés au sein de l'établissement

Mode of delivery

AAMode of delivery
I-MARO-008
  • Mixed

Required Reading

AA
I-MARO-008

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-MARO-008Not applicable

Recommended Reading

AA
I-MARO-008

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-MARO-008Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-MARO-008Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-MARO-008Authorized
(*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
Date de dernière mise à jour de la fiche ECTS par l'enseignant : 15/05/2021
Date de dernière génération automatique de la page : 06/05/2022
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Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be