Study programme 2021-2022Français
Probability and Statistics
Programme component of Bachelor's in Engineering: Architectural Engineering à la Faculty of Engineering

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-B3-IRCIVA-015-MCompulsory UEGILLIS NicolasF151 - Mathématique et Recherche opérationnelle
  • GILLIS Nicolas
  • STRACK Géraldine

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français16800022.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-MARO-012Probability and Statistics168000Q2100.00%

Programme component
Prérequis
Prérequis

Objectives of Programme's Learning Outcomes

  • Understand the theoretical and methodological fundamentals in arts, science, engineering and construction to solve problems involving these disciplines
    • Identify, describe and explain the basic artistic, scientific and mathematical principles
    • Identify, describe and explain the basic principles of engineering sciences and construction
    • Select and thoroughly apply knowledge, methods and tools in arts, sciences, engineering sciences and construction to solve problems involving these disciplines

Learning Outcomes of UE

- Establish simple properties or explain demonstrations ;- Model real situations using classical probability distributions;- Calculate the parameters of a distribution;- Calculate probabilities identifying four counting-standard situations;- Graph and summarize statistical data;- Construct an interval containing almost certainly the value of a parameter of a distribution;- Testing the assumptions made on the value of parameters

Content of UE

concepts of probability: random variables and distribution; classical distributions; random vectors; independence; correlation; regression; normal distribution; central limit theorem;

concepts of statistics: modeling real situations by probability plot and summary statistics; covariance; correlation; regression; independence; estimation intervals (mean, proportion, variance); hypothesis testing (mean, variance, proportion and comparisons).

Prior Experience

Not applicable

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-012
  • Cours magistraux
  • Conférences
  • Exercices dirigés
  • Démonstrations

Mode of delivery

AAMode of delivery
I-MARO-012
  • Face to face

Required Reading

AA
I-MARO-012

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-MARO-012Not applicable

Recommended Reading

AA
I-MARO-012

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-MARO-012Sans objet

Other Recommended Reading

AAOther Recommended Reading
I-MARO-012Not applicable

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-MARO-012Authorized
(*) 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 : 16/04/2021
Date de dernière génération automatique de la page : 06/05/2022
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Courriel: info.mons@umons.ac.be