Study programme 2020-2021Français
Statistical methods
Learning Activity
CodeLecturer(s)Associate Lecturer(s)Subsitute Lecturer(s) et other(s)Establishment
S-MATH-105
  • GROSSE-ERDMANN Karl
      • UMONS
      Language
      of instruction
      Language
      of assessment
      HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term
      FrançaisFrançais3003000A

      Organisational online arrangements for the end of Q3 2020-2021 assessments (Covid-19)
      • Oral exam (questions and answers, presentation of individual or group work, comment and argument about a written text...)
      Description of the modifications to the Q3 2020-2021 assessment procedures (Covid-19)
      This is a oral in-class exam covering all the material seen in the course.

      Organisational arrangements for the end of Q2 2020-2021 assessments (Covid-19) online or face-to-face (according to assessment schedule)

      • Production of individual or group work, essay, report, dissertation...

      Description of the modifications to the Q2 2020-2021 assessment procedures (Covid-19) online or face-to-face (according to assessment schedule)

      Each students makes an in-class presentation.

      Description of the modifications to the Q1 2020-2021 online assessment procedures (Covid-19) online or face-to-face (according to assessment schedule)

      Not applicable

      Content of Learning Activity

      - introduction to the statistics software R
      - estimators and their quality
      - hypothesis testing
      - linear regression
      - ANOVA

      Required Learning Resources/Tools

      Exercise sheets

      Slides of the presentations on R put on moodle

      Recommended Learning Resources/Tools

      Not applicable

      Other Recommended Reading

      Pierre-André Cornillon, François Husson, Nicolas Jégou et Eric Matzner-Lober : Statistiques avec R
      Frédéric Bertrand, Myriam Maumy-Bertrand, Initiation à la statistique avec R
      Randall Pruim, Foundations and applications of statistics
      Steven F. Arnold, Mathematical statistics

      Mode of delivery

      • Mixed

      Type of Teaching Activity/Activities

      • Cours magistraux
      • Préparations, travaux, recherches d'information

      Evaluations

      The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)

      (*) 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 : 09/07/2021
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