Study programme 2015 - 2016
Programme component of Bachelor's Degree in Mathematics à la Faculty of Science
CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-B3-SCMATH-008-MCompulsory UEGROSSE-ERDMANN KarlS844 - Probabilité et statistique
    Language
    of instruction
    Language
    of assessment
    HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
      Français0000044
      AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term
      S-MATH-022
      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 "elementary" mathematics profoundly
        • Understand the fundamentals of probability and statistics
        • Manipulate previously acquired knowledge that appears in a question
        • Give examples and counterexamples for definitions, properties, theorems, etc.
      • Understand and produce strict mathematical reasoning
        • Write clearly and concisely
        • Use mathematical vocabulary and formalism appropriately
        • Make sense of formal expressions
        • Rely on a picture to illustrate a concept, rationale, etc.
      • Collaborate on mathematical subjects
        • Demonstrate independence and their ability to work in teams.
      • Solve new problems
        • Abstract and manipulate theories and use these to solve problems
        • Adapt an argument to a similar situation
        • Use knowledge from different fields to address issues
      • Address literature and interact within other scientific fields
        • Have sufficient knowledge of English in order to read and understand scientific texts, especially in the field of mathematics.
        • Have a good knowledge of related fields using mathematics

      UE's Learning outcomes

      The aim of this cours is the study of sequences of random variables and of random vectors

      UE Content

      - The strong law of large numbers
      - Random vectors

      Prior experience

      Good knowledge of the basic theory of probability (probability distributions, random variables) and of the elements of measure theory and integration theory

      Term 1 for Integrated Assessment - type

      • Written examination

      Term 1 for Integrated Assessment - comments

      Not applicable

      Term 2 for Integrated Assessment - type

      • N/A

      Term 2 for Integrated Assessment - comments

      Not applicable

      Term 3 for Integrated Assessment - type

      • Oral examination

      Term 3 for Integrated Assessment - comments

      Not applicable

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

      Not applicable

      Type of Teaching Activity/Activities

      AA
      S-MATH-022

      Mode of delivery

      AA
      S-MATH-022

      Required Reading

      AA
      S-MATH-022

      Required Learning Resources/Tools

      AA
      S-MATH-022

      Recommended Reading

      AA
      S-MATH-022

      Recommended Learning Resources/Tools

      AA
      S-MATH-022

      Other Recommended Reading

      AA
      S-MATH-022
      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)