Study programme 2015 - 2016
Programme component of Bachelor's Degree in Computer Science à la Faculty of Science
CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-B3-SCINFO-008-MCompulsory UEBUYS AlainS802 - Réseaux et Télécommunications
    Language
    of instruction
    Language
    of assessment
    HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
      Français0000033
      AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term
      S-INFO-018
      Integrated Assessment: There will be an overall assessment for the entire Programme component (UE) instead of individual assessments for each Teaching Activity (AA)

      Objectives of general skills

      • 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

      UE's Learning outcomes

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

      UE Content

      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
      Probability Calculus
      Probability theory and Theory of Errors

      Term 1 for Integrated Assessment - comments

      Not applicable

      Term 2 for Integrated Assessment - type

      • Presentation and works
      • Oral Examination

      Term 2 for Integrated Assessment - comments

      Oral examination with lecture notes available : 67%
      Project : 33%
      (The examination can take place in English for foreign students, if requested)

      Term 3 for Integrated Assessment - type

      • Presentation and works
      • Oral examination

      Term 3 for Integrated Assessment - comments

      Not applicableOral examination with lecture notes available : 67%
      Project : 33%
      (The examination can take place in English for foreign students, if requested)

      Resit Assessment for IT - Term 1 (B1BA1) - Comments

      Not applicable

      Type of Teaching Activity/Activities

      AA
      S-INFO-018

      Mode of delivery

      AA
      S-INFO-018

      Required Reading

      AA
      S-INFO-018

      Required Learning Resources/Tools

      AA
      S-INFO-018

      Recommended Reading

      AA
      S-INFO-018

      Recommended Learning Resources/Tools

      AA
      S-INFO-018

      Other Recommended Reading

      AA
      S-INFO-018
      UE : Programme component - AA : Teaching activity
      (*) 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
      Integrated Assessment: There will be an overall assessment for the entire Programme component (UE) instead of individual assessments for each Teaching Activity (AA)