Study programme 2019-2020Français
Stochastic Models for 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-024-MOptional UEGILLIS NicolasF151 - Mathématique et Recherche opérationnelle
  • GILLIS Nicolas

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français18600022.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-MARO-015Stochastic Models of Operations Research186000Q2100.00%
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.
  • 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

- Model a system using a Markov chain and determine its behavior;  
- propose a solution to deal with a queuing system. 

Content of UE

In this class, we analyze different stochastic models from operational reasearch. In particular, we focus on Markov chains and their applications (PageRank of Google, Queing systems, etc.).  

Prior Experience

Probability and Statistics

Type of Assessment for UE in Q2

  • Written examination

Q2 UE Assessment Comments

1 written Examen, 100% within the AA, duration : 3h.          

Type of Assessment for UE in Q3

  • Written examination

Q3 UE Assessment Comments

1 written Examen, 100% within the AA, duration : 3h.          

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-MARO-015
  • Cours magistraux
  • Conférences
  • Exercices dirigés
  • Utilisation de logiciels
  • Démonstrations

Mode of delivery

AAMode of delivery
I-MARO-015
  • Face to face

Required Reading

AA
I-MARO-015

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-MARO-015Slides

Recommended Reading

AA
I-MARO-015

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-MARO-015Sans objet

Other Recommended Reading

AAOther Recommended Reading
I-MARO-015Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-MARO-015Authorized
(*) 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