Advanced Topics in Decision Support (5 ECTS)

  • Enseignement


    Faculté Faculté des sciences économiques et sociales et du management
    Domaine Informatique de gestion
    Code UE-EIG.00133
    Langues Anglais
    Type d'enseignement Cours
    Cursus Master
    Semestre(s) SP-2020

    Horaires et salles

    Heures par semaine 3



    In this course, we start with a presentation of the basic notions in decision theory. We focus on several existing decision criteria and analyse their weaknesses and strengths. We particularly focus on decision criteria under probabilistic uncertainty and o how to handle additional information in a decision process. We then present an introduction to utility theory, explain how to use utility functions and also how to construct such functions using loteries.

    In a second part, we will concentrate on network optimization problems (max flow, min cost flow, etc...). Our focus will be on the modeling part but we will also see how to solve such problems efficiently.

     Finally, we give a short introduction to multi-criteria decision theory and present some existing methods (ELECTRE, AHP).

    All topics will be illustrated by examples taken from economics, management science and operations research.

    Objectifs de formation

    1) Getting familiar with the basic vocabulary used in decision theory.

    2) Understanding the differences between several decision criteria as well as their weaknesses and strengths.

    3) Becoming familiar with uncertainty in decision making.

    4) Being able to handle additional information in a decision process.

    5) Understanding the basics in utility theory.

    6) Being able to model and solve real world problems using network optimization techniques.

    7) Getting familiar with multi-criteria decision problems and some existing methods.

    Hors domaine


    Bibliographie 1) F.S. Hillier, G.J. Liebermann, Introduction to Operations Research, 10th Ed., McGraw Hill, 2014. 2) G. Monahan, Management Decision making: Spreadsheet Modeling, Analysis and Applications, Cambridge University Press, 2000. 3) J. Teghem, Recherche Opérationnelle, Tome 2, Edition ellipses, 2013.4) S. Greco, M. Ehrgott, J.R. Figueira (eds.), \blue{Multiple Criteria Decision Analysis}, State of the Art Surveys, 2nd edition, Springer, 2016.
  • Modalités d'évaluation

    Examen écrit - SP-2020, Session de rattrapage 2020

    Date 26.08.2020 17:00 - 18:30
    Durée de l’examen 90
    Mode d'évaluation Par note
    Description Examination time: 90 Min.

    Examen oral - SP-2020, Session d'été 2020

    Mode d'évaluation Par note

    Forme évaluation COVID-19: Examen oral

  • Affiliation
    Valable pour les plans d'études suivants:
    Enseignement complémentaire en sciences
    Version: ens_compl_sciences
    Paquet indépendant des branches > UE de spécialisation en Informatique (niveau master)

    MSc en informatique (BeNeFri)
    Version: 2010_2/V_02
    MSc en informatique (BeNeFri), cours, séminaires et travail de Master > UE de spécialisation en Informatique (niveau master)
    MSc en informatique (BeNeFri), cours, séminaires et travail de Master > T5: Information Systems and Decision Support