Study programme 2021-2022Français
Numerical analysis
Programme component of Master's in Computer Science à la Faculty of Science

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M1-SCINFO-084-MOptional UETROESTLER ChristopheS835 - Analyse numérique
  • TROESTLER Christophe

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français306000099.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
S-INFO-144Numerical Analysis3060000Q2100.00%
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.
  • 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.
    • Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.

Learning Outcomes of UE

At the end of this teaching unit, the student will be able to put his knowledge and his learning capabilities to the service of a moderately sized computer program — learning along the way the required programming concepts and mathematical results.

Content of UE

The content changes from year to year and is defined with the students in accordance with their interests.

Prior Experience

The student must be able to program well and to learn new programming languages and new programming paradigms.  He must also be able to reason rigorously and to learn on his own.  Depending on the material that will be covered, some mathematical bases are also required.

Type of Assessment for UE in Q2

  • Presentation and/or works

Method of calculating the overall mark for the Q2 UE assessment

Mark given to the oral presentations.

Q2 UE Assessment Comments

Not applicable.

Type of Assessment for UE in Q3

  • Presentation and/or works

Method of calculating the overall mark for the Q3 UE assessment

Mark given to the oral presentations.

Q3 UE Assessment Comments

Not applicable.

Type of Teaching Activity/Activities

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

Mode of delivery

AAMode of delivery
S-INFO-144
  • Face to face

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-144Unauthorized
(*) 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 : 17/09/2021
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