Study programme 2020-2021Français
Optimisation Methods
Learning Activity
CodeLecturer(s)Associate Lecturer(s)Subsitute Lecturer(s) et other(s)Establishment
I-MARO-152
  • TUYTTENS Daniel
      • UMONS
      Language
      of instruction
      Language
      of assessment
      HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term
      FrançaisFrançais2416000Q1

      Organisational online arrangements for the end of Q3 2020-2021 assessments (Covid-19)
      • Written exam (multiple choice, open questions)
      Description of the modifications to the Q3 2020-2021 assessment procedures (Covid-19)
      During the session, written examination in person covering all parts of the course, including short questions 
      on theory and some exercises. Part   1 : Theory and 
       Part  2 : Exercises  [=90% of the evaluation] and Part 3 : Modelling  [=10% of the evaluation]

      The evaluation procedures are likely to be adjusted according to
      the assessment context imposed by health measures.

       

      Organisational arrangements for the end of Q1 2020-2021 assessments (Covid-19) online or face-to-face (according to assessment schedule)

      • Production of individual or group work, essay, report, dissertation...

      Description of the modifications to the Q1 2020-2021 online assessment procedures (Covid-19) online or face-to-face (according to assessment schedule)

      A written examination covering the three parts (Theory, exercices and Modeling)
      and accounting for 100% of the AA's evaluation.

      Preferably and if the health crisis allows, the written examination will be done on site.
      Otherwise, the written examination will be done remotely via Moodle exams.

      Content of Learning Activity

      Continuous linear programming (real variables) : Simplex algorithm; duality; dual algorithm;Integer linear programming (discrete variables) : Branch and Bound algorithm; Combinatorial optimization; extensions and problem modelling.Revised Simplex algorithm; treatment of bounded variables ; sensitivity analysis; modelling of linear problems; use of an optimization tool (Excel solver).

      The teaching methods are likely to be adjusted according to the educational context
      imposed by the health measures.

      Required Learning Resources/Tools

      Not applicable

      Recommended Learning Resources/Tools

      Not applicable

      Other Recommended Reading

      Teghem, J., Programmation linéaire, Editions de l'ULB, Editions Ellipses, Bruxelles, 2003 Guéret C., Prins C. et Sevaux M. 2000, Programmation linéaire, Editions Eyrolles,.

      Mode of delivery

      • Face to face

      Type of Teaching Activity/Activities

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

      Evaluations

      The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)

      (*) 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 : 09/07/2021
      20, place du Parc, B7000 Mons - Belgique
      Tél: +32 (0)65 373111
      Courriel: info.mons@umons.ac.be