Study programme 2019-2020Français
Analysis of Deliberative Processes
Programme component of Master's in Computer Engineering and Management (Charleroi (Hor. décalé)) 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-M1-IRIGIG-831-CCompulsory UEFORTEMPS PhilippeF113 - Management de l'Innovation Technologique
  • FORTEMPS Philippe

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français181200033.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-MANA-154Analysis of Deliberative Processes1812000Q1100.00%
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.
  • Work effectively in teams, develop leadership, and make decisions in multidisciplinary, multicultural and international contexts.
    • Make decisions, individually or collectively, taking into account the parameters involved (human, technical, economic, societal, ethical and environmental).
  • 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.
  • Adopt a professional and responsible approach, showing an open and critical mind in an independent professional development process.
    • Show an open and critical mind by bringing to light technical and non-technical issues of analysed problems and proposed solutions.

Learning Outcomes of UE

Understand and explain the main concepts and methods of decision support, as well as to apply the methodologies studied in practical applications, with the help of software tools.(For details, see the AA contents)

Content of UE

multicriteria decision analysis (problem statement, analysis of the weighted sum, additive value function model, outranking methods), decision under risk and uncertainty. 

Prior Experience

Not applicable

Type of Assessment for UE in Q1

  • Written examination

Q1 UE Assessment Comments

Assessment of the student knowledge and understanding of notions and methods, including her ability to apply these methods to real cases. 

Type of Assessment for UE in Q3

  • Written examination

Q3 UE Assessment Comments

Assessment of the student knowledge and understanding of notions and methods, including her ability to apply these methods to real cases. 

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-MANA-154
  • Cours magistraux
  • Ateliers et projets encadrés au sein de l'établissement

Mode of delivery

AAMode of delivery
I-MANA-154
  • Face to face

Required Reading

AA
I-MANA-154

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-MANA-154Not applicable

Recommended Reading

AA
I-MANA-154

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-MANA-154Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-MANA-154Ph. Vincke, 1989, L'aide multicritère à la décision, Editions de l'Université de Bruxelles et Editions Ellipses

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-MANA-154Authorized
(*) 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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