Study programme 2023-2024Français
Linear optimisation
Programme component of Bachelor's in Mathematics (MONS) (day schedule) à la Faculty of Science

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-B3-SCMATH-104-MOptional UEGILLIS NicolasF151 - Mathématique et Recherche opérationnelle
  • GILLIS Nicolas
  • TUYTTENS Daniel

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français141400044.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-MARO-035Linear Optimization1414000Q1100.00%

Programme component

Objectives of Programme's Learning Outcomes

  • Understand "elementary" mathematics profoundly
    • Use vector spaces, linear applications and the techniques associated with them
    • Manipulate previously acquired knowledge that appears in a question
    • Give examples and counterexamples for definitions, properties, theorems, etc.
  • Understand and produce strict mathematical reasoning
    • Write clearly and concisely
    • Use mathematical vocabulary and formalism appropriately
    • Rely on a picture to illustrate a concept, rationale, etc.
  • Collaborate on mathematical subjects
    • Demonstrate independence and their ability to work in teams.
  • Solve new problems
    • Adapt an argument to a similar situation
    • Use knowledge from different fields to address issues
  • Use computers effectively
    • Understand and implement algorithms using appropriate data structures
    • Use at least one programming language
    • Develop computer programs to solve problems with mathematical formulation

Learning Outcomes of UE

- Model an optimization problem- Choose a suitable method to solve an optimization problem- Develop and apply optimization methods

UE Content: description and pedagogical relevance

This class analyzes models and methods for linear optimization problems (continous and discrete). 

Prior Experience

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-MARO-035
  • Cours magistraux
  • Conférences
  • Exercices dirigés
  • Utilisation de logiciels
  • Démonstrations

Mode of delivery

AAMode of delivery
I-MARO-035
  • Face-to-face

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-MARO-035Linear algebra

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-MARO-035Slides

Other Recommended Reading

AAOther Recommended Reading
I-MARO-035Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-MARO-035Unauthorized

Term 1 Assessment - type

AAType(s) and mode(s) of Q1 assessment
I-MARO-035
  • Written examination - Face-to-face

Term 1 Assessment - comments

AATerm 1 Assessment - comments
I-MARO-0351 written Examen, 100% within the AA, duration: 2h.          

Resit Assessment - Term 1 (B1BA1) - type

AAType(s) and mode(s) of Q1 resit assessment (BAB1)
I-MARO-035
  • Written examination - Face-to-face

Term 3 Assessment - type

AAType(s) and mode(s) of Q3 assessment
I-MARO-035
  • Written examination - Face-to-face

Term 3 Assessment - comments

AATerm 3 Assessment - comments
I-MARO-0351 written Examen, 100% within the AA, duration: 2h.          
(*) 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 : 17/05/2023
Date de dernière génération automatique de la page : 18/05/2024
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