Study programmeFrançais
Multiple Criteria Decision Analysis and Support
Programme component of Master's Degree in Computer Engineering and Management à la Faculty of Engineering
CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M1-IRIGIG-005-MCompulsory UEPIRLOT MarcF151 - Mathématique et Recherche opérationnelle
  • FORTEMPS Philippe
  • PIRLOT Marc

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français24120003.003.00

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-MARO-013Multiple Criteria Decision Analysis2412000Q2100.00%
Unité d'enseignement

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.
    • Deliver a solution selected in the form of diagrams, graphs, prototypes, software and/or digital models.
    • Evaluate the approach and results for their adaptation (modularity, optimisation, quality, robustness, reliability, upgradeability, etc.).
  • 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.
    • Identify and discuss possible applications of new and emerging technologies in the field of information technology and sciences and quantifying and qualifying business management.
    • Assess the validity of models and results in view of the state of science and characteristics of the problem.
  • Plan, manage and lead projects in view of their objectives, resources and constraints, ensuring the quality of activities and deliverables.
    • Define and align the project in view of its objectives, resources and constraints.
    • Respect deadlines and timescales
  • Work effectively in teams, develop leadership, and make decisions in multidisciplinary, multicultural and international contexts.
    • Interact effectively with others to carry out common projects in various contexts (multidisciplinary, multicultural, and international).
    • Contribute to the management and coordination of a team that may be composed of people of different levels and disciplines.
  • 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.
    • Use and produce scientific and technical documents (reports, plans, specifications) adapted to the intended purpose and the relevant public.
  • Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
    • Finalise a realistic career plan in line with the realities in the field and their profile (aspirations, strengths, weaknesses, etc.).
    • Show an open and critical mind by bringing to light technical and non-technical issues of analysed problems and proposed solutions.
    • Exploit the different means available in order to inform and train independently.
  • 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.
    • Adequately interpret results taking into account the reference framework within which the research was developed.
    • 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.

Learning Outcomes of UE

After this UE, the student will have reached a certain level of experience in conducting a decision aiding process. She will also master techniques for aggregating conflicting objectives

Content of UE

Content of the sole AA included in this UE

Prior Experience

Not applicable

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q2

  • Presentation and works
  • Written examination

Q2 UE Assessment Comments

The assessment integrates the evaluation of a report on a practical decision problem (by goups of two) and that of the student understanding and knowledge of concepts and methods

Type of Assessment for UE in Q3

  • Presentation and works
  • Written examination

Q3 UE Assessment Comments

The assessment integrates the evaluation of a report on a practical decision problem (by goups of two) and that of the student understanding and knowledge of concepts and methods. The evaluation of the report is transferred to Term 3 if satisfactory at the end of Term 2 (>50%)

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-MARO-013
  • Cours magistraux
  • Conférences
  • Exercices dirigés
  • Utilisation de logiciels
  • Démonstrations
  • Travaux pratiques
  • Travaux de laboratoire
  • Etudes de cas

Mode of delivery

AAMode of delivery
I-MARO-013
  • Face to face

Required Reading

AARequired Reading
I-MARO-013

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-MARO-013Not applicable

Recommended Reading

AARecommended Reading
I-MARO-013

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-MARO-013Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-MARO-013Ph. Vincke, 1989, L'aide multicritère à la décision, Editions de l'Université de Bruxelles et Editions Ellipses. English version: Multicriteria Decision-Aid, Wiley, 1992
M. Ehrgott, 2005, Multicriteria Optimization, Springer

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-MARO-013Autorisé
Date de génération : 17/03/2017
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