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

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-MC-SCINFO-052-MCompulsory UEGROSSE-ERDMANN KarlS844 - Probabilité et statistique
  • GROSSE-ERDMANN Karl

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français201000033.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
S-PHYS-100Probability2010000Q2100.00%

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.
  • 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.
    • Demonstrate thoroughness, independence, creativity, intellectual honesty, and ethical values.

Learning Outcomes of UE

Introduction to probability

Content of UE

- the notion of a probability
- discrete and continuous random variables
and if time permits:
- random vectors
- limit theorems

Prior Experience

Basic notions of analysis

Type of Assessment for UE in Q2

  • Written examination

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

  • Oral examination

Q3 UE Assessment Comments

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
S-PHYS-100
  • Cours magistraux
  • Exercices dirigés

Mode of delivery

AAMode of delivery
S-PHYS-100
  • Face to face

Required Reading

AA
S-PHYS-100

Required Learning Resources/Tools

AARequired Learning Resources/Tools
S-PHYS-100Exercise sheets

Recommended Reading

AA
S-PHYS-100

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
S-PHYS-100Not applicable

Other Recommended Reading

AAOther Recommended Reading
S-PHYS-100Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
S-PHYS-100Unauthorized
(*) 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 : 13/05/2021
Date de dernière génération automatique de la page : 06/05/2022
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