Study programmeFrançais
Operational Research Modelling Workshop
Programme component of Master's Degree in Computer Science Professionnal Focus à la Faculty of Science
CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M2-INFOFS-008-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
Français12480005.00100.00

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-MARO-017Modeling Workshop in Operational Research1248000Q1100.00%
Unité d'enseignement

Objectives of Programme's Learning Outcomes

  • Have acquired highly specialised and integrated knowledge and broad skills in the various disciplines of computer science, which come after those within the Bachelor's in computer science.
  • Manage large-scale software development projects.
    • Apply, mobilise, articulate and promote the knowledge and skills acquired in order to help lead and complete a project.
    • Lead a project by mastering its complexity and taking into account the objectives, allocated resources and constraints that characterise it.
    • Demonstrate independence and their ability to work alone or in teams.
  • Manage research, development and innovation.
    • Understand unprecedented problems in computer science and its applications.
    • Organise and lead a research, development or innovation project to completion.
    • Methodically research valid scientific information, lead a critical analysis, propose and argue potentially innovative solutions to targeted problems.
  • Master communication techniques.
    • Communicate, both orally and in writing, their findings, original proposals, knowledge and underlying principles, in a clear, structured and justified manner.
    • Adapt their communication to a variety of audiences.
    • Where possible, communicate in a foreign language.
  • Develop and integrate a high degree of autonomy.
    • Aquire new knowledge independently.
    • Pursue further training and develop new skills independently.
    • Develop and integrate a high degree of autonomy to evolve in new contexts.
  • Apply scientific methodology.
    • Critically reflect on the impact of IT in general, and on the contribution to projects.
    • Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.
  • Skill 2: Have acquired professional skills in relation to the objective defining the degree.
    • Integrate into a professional environment and collaborate with stakeholders on a project.
  • Have acquired highly specialised and integrated knowledge and broad skills in the various disciplines of computer science, which come after those within the Bachelor's in computer science.
  • Manage large-scale software development projects.
    • Apply, mobilise, articulate and promote the knowledge and skills acquired in order to help lead and complete a project.
    • Lead a project by mastering its complexity and taking into account the objectives, allocated resources and constraints that characterise it.
    • Demonstrate independence and their ability to work alone or in teams.
  • Manage research, development and innovation.
    • Understand unprecedented problems in computer science and its applications.
    • Organise and lead a research, development or innovation project to completion.
    • Methodically research valid scientific information, lead a critical analysis, propose and argue potentially innovative solutions to targeted problems.
  • Master communication techniques.
    • Communicate, both orally and in writing, their findings, original proposals, knowledge and underlying principles, in a clear, structured and justified manner.
    • Master the techniques of written and oral scientific communication in both French and English.
  • Develop and integrate a high degree of autonomy.
    • Aquire new knowledge independently.
    • Pursue further training and develop new skills independently.
    • Develop and integrate a high degree of autonomy to evolve in new contexts.

Learning Outcomes of UE

- Team work
- Investigate and develop new operational reasearch methods for an industrial problem
- Oral and written presentations
- Contact with a client

Content of UE

This class aims at introducing the students to a real-world industrial project related to operational research. 

Prior Experience

- Optimization- Graphs and Combinatorial Optimization

Type of Assessment for UE in Q1

  • Presentation and works

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q2

  • Presentation and works

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

  • Presentation and works

Q3 UE Assessment Comments

Not applicable

Type of Resit Assessment for UE in Q1 (BAB1)

  • Presentation and works

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-MARO-017
  • Cours magistraux
  • Conférences
  • Ateliers et projets encadrés au sein de l'établissement

Mode of delivery

AAMode of delivery
I-MARO-017
  • Mixed

Required Reading

AA
I-MARO-017

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-MARO-017Not applicable

Recommended Reading

AA
I-MARO-017

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-MARO-017Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-MARO-017Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-MARO-017Autorisé
Date de génération : 17/03/2017
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be