Study programme 2019-2020Français
Probability and Statistics
Programme component of Bachelor's in Engineering: Architectural Engineering à la Faculty of Engineering

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what assessment methods are planned for the end of Q2

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

AARequired Reading
I-MARO-012

Required Learning Resources/Tools

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

Recommended Reading

AARecommended Reading
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 génération : 24/04/2020
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be