Study programme 2018-2019Français
Optimization
Programme component of Bachelor's Degree in Engineering à la Faculty of Engineering
CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-B3-IRCIVI-301-MCompulsory UEGILLIS NicolasF151 - Mathématique et Recherche opérationnelle
  • GILLIS Nicolas
  • TUYTTENS Daniel
  • VANDAELE Arnaud

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français362400055.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-MARO-035Linear Optimization1414000Q1
I-MARO-036Non-Linear Optimization2210000Q1
Programme component

Objectives of Programme's Learning Outcomes

  • Understand the theoretical and methodological fundamentals in science and engineering to solve problems involving these disciplines
    • Identify, describe and explain basic scientific and mathematical principles
    • Identify, describe and explain the basic principles of engineering particularly in their specialising field
    • Understand laboratory techniques: testing, measuring, monitoring protocol, and security
    • Select and rigorously apply knowledge, tools and methods in sciences and engineering to solve problems involving these disciplines
  • Collaborate, work in a team
    • Interact effectively with other students to carry out collaborative projects.
    • Analyse personal performance within a group
    • Identify and appropriately implement the different ways of working in a group

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 optimization problems (linear and non linear). 

Prior Experience

Mathematics (first and second year classes)

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

50% linear, 50% non-linear

Type of Resit Assessment for UE in Q1 (BAB1)

  • Presentation and/or works
  • Written examination

Q1 UE Resit Assessment Comments (BAB1)

50% linear, 50% non-linear

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-MARO-035
  • Cours magistraux
  • Conférences
  • Exercices dirigés
  • Utilisation de logiciels
  • Démonstrations
I-MARO-036
  • Cours magistraux
  • Conférences
  • Exercices dirigés
  • Utilisation de logiciels
  • Démonstrations

Mode of delivery

AAMode of delivery
I-MARO-035
  • Face to face
I-MARO-036
  • Face to face

Required Reading

AA
I-MARO-035
I-MARO-036

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-MARO-035Linear algebra
I-MARO-036Not applicable

Recommended Reading

AA
I-MARO-035
I-MARO-036

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-MARO-035Slides
I-MARO-036Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-MARO-035Not applicable
I-MARO-036Not applicable
(*) 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 : 02/05/2019
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be