Study programmeFrançais
Numerical Analysis
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-010-MOptional UETROESTLER ChristopheS835 - Analyse numérique
  • TROESTLER Christophe

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français30600009.00100.00

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
S-INFO-144Numerical Analysis3060000Q2100.00%
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.
  • Develop and integrate a high degree of autonomy.
    • Aquire new knowledge independently.
    • Pursue further training and develop new skills independently.
  • Apply scientific methodology.
    • Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.
  • 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.

Learning Outcomes of UE

At the end of the instruction, the students will be able to implement numerical analysis techniques in the context of a computer program of some importance.

Content of UE

The specific content will be defined with the students according to their objectives.

Prior Experience

Familiarity with differential calculus, elementary numerical analysis and programming.

Type of Assessment for UE in Q1

  • N/A

Q1 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q2

  • Practical test

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

  • Practical Test

Q3 UE Assessment Comments

Not applicable

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
S-INFO-144
  • Cours magistraux
  • Travaux pratiques
  • Projet sur ordinateur

Mode of delivery

AAMode of delivery
S-INFO-144
  • Mixed

Required Reading

AA
S-INFO-144

Required Learning Resources/Tools

AARequired Learning Resources/Tools
S-INFO-144Not applicable

Recommended Reading

AA
S-INFO-144

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
S-INFO-144Not applicable

Other Recommended Reading

AAOther Recommended Reading
S-INFO-144Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
S-INFO-144Autorisé
Date de génération : 17/03/2017
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be