Study programme 2019-2020Français
Modeling workshops in operational research
Programme component of Master's in Computer Science à la Faculty of Science

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

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M1-SCINFO-075-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
Français124800055.001st term

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

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.
  • 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.

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 reasearch. 

Prior Experience

Not applicable

Type of Assessment for UE in Q1

  • Presentation and/or works

Q1 UE Assessment Comments

70% report, 30% presentation

Type of Assessment for UE in Q3

  • N/A

Q3 UE Assessment Comments

Project with an industrial partner, only possible in Q1. 

Type of Resit Assessment for UE in Q1 (BAB1)

  • N/A

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-017Unauthorized
(*) 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 : 13/07/2020
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be