Study programme 2020-2021Français
Linear Optimisation
Programme component of Master's in Mathematics à la Faculty of Science

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what special Covid-19 assessment methods are possibly planned for the end of Q3

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M1-SCMATH-026-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

  • Have integrated and elaborate mathematical knowledge.
    • Mobilise the Bachelor's course in mathematics to address complex issues and have profound mathematical expertise to complement the knowledge developed in the Bachelor's course.
    • Use prior knowledge to independently learn high-level mathematics.
    • Research mathematical literature in an efficient and relevant way.
    • Read research articles in at least one discipline of mathematics.
  • Apply innovative methods to solve an unprecedented problem in mathematics or within its applications.
    • Mobilise knowledge, and research and analyse various information sources to propose innovative solutions targeted unprecedented issues.
    • Appropriately make use of computer tools, as required by developing a small programme.

Learning Outcomes of UE

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

Content of UE

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

Prior Experience

Not applicable

Type of Assessment for UE in Q1

  • Presentation and/or works
  • Written examination

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

  • Presentation and/or works
  • Written examination

Q3 UE Assessment Comments

Not applicable

Type of Resit Assessment for UE in Q1 (BAB1)

  • Presentation and/or works
  • Written examination

Q1 UE Resit Assessment Comments (BAB1)

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 Reading

AA
I-MARO-035

Required Learning Resources/Tools

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

Recommended Reading

AA
I-MARO-035

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
(*) 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