Study programme 2019-2020Français
Selected topics in Numerical analysis
Programme component of Master's in Computer Engineering and Management à la Faculty of Engineering

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what assessment methods are planned for the end of Q3

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M2-IRIGIG-305-MOptional UEVANDAELE ArnaudF151 - Mathématique et Recherche opérationnelle
  • SAUCEZ Philippe
  • VANDAELE Arnaud

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Anglais243600055.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-MARO-200Selected topics in numerical analysis2436000Q1100.00%
Programme component

Objectives of Programme's Learning Outcomes

  • Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out computer and management engineering missions, using their expertise and adaptability.
    • Master and appropriately mobilise knowledge, models, methods and techniques specific to computer management engineering.
    • Assess the validity of models and results in view of the state of science and characteristics of the problem.
  • Communicate and exchange information in a structured way - orally, graphically and in writing, in French and in one or more other languages - scientifically, culturally, technically and interpersonally, by adapting to the intended purpose and the relevant public.
    • Argue to and persuade customers, teachers and boards, both orally and in writing.
    • Select and use the written and oral communication methods and materials adapted to the intended purpose and the relevant public.
    • Use and produce scientific and technical documents (reports, plans, specifications) adapted to the intended purpose and the relevant public.
  • Contribute by researching the innovative solution of a problem in engineering sciences.
    • Develop and implement conceptual analysis, numerical modelling, software implementations, experimental studies and behavioural analysis.
    • Collect and analyse data rigorously.
    • Communicate, in writing and orally, on the approach and its results in highlighting both the scientific criteria of the research conducted and the theoretical and technical innovation potential, as well as possible non-technical issues.

Content of UE

To define

Prior Experience

Not applicable

Type of Assessment for UE in Q1

  • Presentation and/or works
  • Oral examination
  • Written examination
  • Practical test
  • Graded tests

Q1 UE Assessment Comments

The evaluation is based on the realization of one or several projects.
Additional written and / or oral exam will be organized for students who have not attended at least 80% of the course.

Type of Assessment for UE in Q3

  • Presentation and/or works
  • Oral examination
  • Written examination
  • Practical Test
  • Graded tests

Q3 UE Assessment Comments

The evaluation is based on the realization of one or several projects.
Additional written and / or oral exam will be organized for students who have not attended at least 80% of the course.

Type of Resit Assessment for UE in Q1 (BAB1)

  • N/A

Q1 UE Resit Assessment Comments (BAB1)

not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-MARO-200
  • Cours magistraux
  • Conférences
  • Projet sur ordinateur
  • Ateliers et projets encadrés au sein de l'établissement

Mode of delivery

AAMode of delivery
I-MARO-200
  • Face to face

Required Reading

AA
I-MARO-200

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-MARO-200Not applicable

Recommended Reading

AA
I-MARO-200

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-MARO-200Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-MARO-200Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-MARO-200Authorized
(*) 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 génération : 13/07/2020
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Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be