Study programme 2023-2024Français
Scientific Computing
Programme component of Master's in Computer Engineering and Management (MONS) (day schedule) à la Faculty of Engineering

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M2-IRIGIG-309-MCompulsory UEVANDAELE ArnaudF151 - Mathématique et Recherche opérationnelle
  • 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-200Scientific Computing2436000Q1100.00%

Programme component

Objectives of Programme's Learning Outcomes

  • Imagine, design, develop, and implement conceptual models and computer solutions to address complex problems including decision-making, optimisation, management and production as part of a business innovation approach by integrating changing needs, contexts and issues (technical, economic, societal, ethical and environmental).
    • Identify complex problems to be solved and develop the specifications with the client by integrating needs, contexts and issues (technical, economic, societal, ethical and environmental).
    • On the basis of modelling, design a system or a strategy addressing the problem raised; evaluate them in light of various parameters of the specifications.
  • 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.
    • Analyse and model an innovative IT solution or a business strategy by critically selecting theories and methodological approaches (modelling, optimisation, algorithms, calculations), and taking into account multidisciplinary aspects.
    • Assess the validity of models and results in view of the state of science and characteristics of the problem.

Learning Outcomes of UE

Attendance at theory/exercises classes of at least 80% is required.
The teaching  methods are likely to be adjusted according to the context imposed by the health measures.
The 80% rule of physical attendance would be transformed into a rule of 80% of online participation. Participation at practical sessions and seminars is still mandatory.

UE Content: description and pedagogical relevance

Attendance at theory/exercises classes of at least 80% is required.
The teaching  methods are likely to be adjusted according to the context imposed by the health measures.
The 80% rule of physical attendance would be transformed into a rule of 80% of online participation. Participation at practical sessions and seminars is still mandatory.

Prior Experience

Numerical Analysis, optimization and programming skills

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 Learning Resources/Tools

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

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-200Unauthorized

Term 1 Assessment - type

AAType(s) and mode(s) of Q1 assessment
I-MARO-200
  • Written examination - Face-to-face
  • Production (written work, report, essay, collection, product, etc.) - To be submitted in class
  • Oral examination - Face-to-face
  • Oral presentation - Face-to-face
  • Seminar participation - Face-to-face
  • Graded assignment(s) - Face-to-face
  • Practical exam - Face-to-face

Term 1 Assessment - comments

AATerm 1 Assessment - comments
I-MARO-200The 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.

Resit Assessment - Term 1 (B1BA1) - type

AAType(s) and mode(s) of Q1 resit assessment (BAB1)
I-MARO-200
  • Written examination - Face-to-face
  • Production (written work, report, essay, collection, product, etc.) - To be submitted in class
  • Oral examination - Face-to-face
  • Oral presentation - Face-to-face
  • Seminar participation - Face-to-face
  • Graded assignment(s) - Face-to-face
  • Practical exam - Face-to-face

Term 3 Assessment - type

AAType(s) and mode(s) of Q3 assessment
I-MARO-200
  • Written examination - Face-to-face
  • Production (written work, report, essay, collection, product, etc.) - To be submitted in class
  • Oral examination - Face-to-face
  • Oral presentation - Face-to-face
  • Seminar participation - Face-to-face
  • Graded assignment(s) - Face-to-face
  • Practical exam - Face-to-face

Term 3 Assessment - comments

AATerm 3 Assessment - comments
I-MARO-200The 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.
(*) 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 : 16/05/2023
Date de dernière génération automatique de la page : 27/04/2024
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Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be