Study programme 2022-2023Français
Operational Research and Applications
Programme component of Master's in Computer Science : Specialist Focus (CHARLEROI) (shift schedule) à la Faculty of Science

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M1-INFOSP-103-CCompulsory UEFORTZ BernardS829 - Informatique théorique
  • FORTZ Bernard

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français30000055.001st term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
S-INFO-059Operational Research and Applications300000Q1100.00%

Programme component
Corequis

Objectives of Programme's Learning Outcomes

  • ills in the various disciplines of computer science, which come after those within the Bachelor's in computer science.
  • 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.
  • ills in the various disciplines of computer science, which come after those within the Bachelor's in computer science.
  • Master communication techniques.
    • Communicate, both orally and in writing, their findings, original proposals, knowledge and underlying principles, in a clear, structured and justified manner.
  • Develop and integrate a high degree of autonomy.
    • Pursue further training and develop new skills independently.
  • 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

Rigorous mathematical modeling, mastery of algorithms for solving optimization problems (linear programming, integer programming, etc.)

UE Content: description and pedagogical relevance

Introduction to Operations Research Examples of mathematical models Overview of methods used in Operations Research Applications of linear programming Definition, examples and solution method Duality Software and modeling languages Integer programming Examples of models Complexity Some polynomial problems: formulation and algorithms Exact methods

Prior Experience

Basic linear algebra

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
S-INFO-059
  • Cours magistraux
  • Conférences

Mode of delivery

AAMode of delivery
S-INFO-059
  • Face-to-face

Required Learning Resources/Tools

AARequired Learning Resources/Tools
S-INFO-059Not applicable

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
S-INFO-059Not applicable

Other Recommended Reading

AAOther Recommended Reading
S-INFO-059Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
S-INFO-059Authorized

Term 1 Assessment - type

AAType(s) and mode(s) of Q1 assessment
S-INFO-059
  • Written examination - Face-to-face
  • Graded assignment(s) - Remote

Term 1 Assessment - comments

AATerm 1 Assessment - comments
S-INFO-059-

Resit Assessment - Term 1 (B1BA1) - type

AAType(s) and mode(s) of Q1 resit assessment (BAB1)
S-INFO-059
  • N/A - Néant

Term 3 Assessment - type

AAType(s) and mode(s) of Q3 assessment
S-INFO-059
  • Written examination - Face-to-face

Term 3 Assessment - comments

AATerm 3 Assessment - comments
S-INFO-059-
(*) 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 dernière mise à jour de la fiche ECTS par l'enseignant : 18/05/2022
Date de dernière génération automatique de la page : 20/06/2023
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be