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

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-B3-SCINFO-008-MOptional UEBUYS AlainS802 - Réseaux et Télécommunications
  • BUYS Alain

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français150150033.002nd term

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
S-INFO-018Simulations1501500Q2100.00%

Programme component
Prérequis
Prérequis
Prérequis
Prérequis
Prérequis
Prérequis
Corequis

Objectives of Programme's Learning Outcomes

  • Understand the fundamentals of computer science
    • Use and combine knowledge from different disciplines to solve multidisciplinary problems
  • Demonstrate basic knowledge and know-how in related fields
    • Demonstrate knowledge and basic skills in science and technology.
  • Manage IT projects
    • Creatively implement knowledge and expertise gained in the field of computer science.
    • Apply appropriate technological and scientific ICT approaches
    • Demonstrate independence and their ability to work in teams.
  • Understand the fundamentals related to scientific methods
    • Develop skills of abstraction and modelling through a conceptual and scientific approach
    • Conduct rigorous reasoning based on scientific arguments
    • Give a critique and argue a point of view regarding multiple-source information and other opinions
  • Understand the fundamentals of communication
    • Communicate information (both orally and in writing) relating to the field of computer science in an intelligible, clear and structured way
    • Communicate a consistent and rigorous scientific argument, either orally or in writing

Learning Outcomes of UE

Understand principles of random number generators.
Use random numbers in simulations.

Content of UE

Generation of random numbers according to a uniform distribution.
Testing generated sequences.
Generation of random numbers according to a non uniform distribution.
 

Prior Experience


Mathematics (knowledge that can be acquired for example by  "Mathematics for computer science" (US-B1-SCINFO-003-M, US-B1-SCINFO-004-M))
Programming and algorithms (see for example US-B1-SCINFO-007-M, US-B1-SCINFO-008-M)
Mathematical Analysis (Calculus I, Calculus II)
Probability
 

Type of Assessment for UE in Q2

  • Presentation and/or works
  • Oral Examination

Q2 UE Assessment Comments

Oral examination with lecture notes available : 33%
Project : 67% (33% for the written report, 33% for the oral presentation)      
Both parts must be passed successfully, otherwise the lowest grade is the overall grade.
(The examination can take place in English for foreign students, if requested)
According to the Studies Rules and Regulations (Art. 37: "Tout étudiant est tenu de suivre régulièrement les activités d'apprentissage du programme auquel il s'est inscrit, sauf s'il en est dispensé"), regular class attendance (at least 60%) is a condition for being admitted to the exam.

Type of Assessment for UE in Q3

  • Presentation and/or works
  • Oral examination

Q3 UE Assessment Comments

Oral examination with lecture notes available : 33%
Project : 67% (33% for the written report, 33% for the oral presentation)      
Both parts must be passed successfully, otherwise the lowest grade is the overall grade 
(The examination can take place in English for foreign students, if requested)  
According to the Studies Rules and Regulations (Art. 37: "Tout étudiant est tenu de suivre régulièrement les activités d'apprentissage du programme auquel il s'est inscrit, sauf s'il en est dispensé"), regular class attendance (at least 60%) is a condition for being admitted to the exam.

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
S-INFO-018
  • Cours magistraux
  • Exercices dirigés
  • Préparations, travaux, recherches d'information

Mode of delivery

AAMode of delivery
S-INFO-018
  • Face to face

Required Reading

AA
S-INFO-018

Required Learning Resources/Tools

AARequired Learning Resources/Tools
S-INFO-018Handouts

Recommended Reading

AA
S-INFO-018

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
S-INFO-018Activities on the E-learning platform

Other Recommended Reading

AAOther Recommended Reading
S-INFO-018Donald E. Knuth "The Art of Computer programming'' (Addison Wesley), Vol. 2.

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
S-INFO-018Authorized
(*) 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 : 10/05/2021
Date de dernière génération automatique de la page : 06/05/2022
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be