Study programme 2022-2023Français
Statistical methods (LIst A)
Programme component of Master's in Mathematics (MONS) (day schedule) à la Faculty of Science

CodeTypeHead of UE Department’s
contact details
Teacher(s)
US-M1-SCMATH-046-MOptional UEGROSSE-ERDMANN KarlS844 - Probabilité et statistique
  • GROSSE-ERDMANN Karl

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français401730099.00Année

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
S-MATH-105Statistical methods3717000A
S-MATH-030Introduction to R30300Q1

Overall mark : the assessments of each AA result in an overall mark for the UE.
Programme component

Objectives of Programme's Learning Outcomes

  • Have integrated and elaborate mathematical knowledge.
    • Mobilise the Bachelor's course in mathematics to address complex issues and have profound mathematical expertise to complement the knowledge developed in the Bachelor's course.
    • Use prior knowledge to independently learn high-level mathematics.
    • Research mathematical literature in an efficient and relevant way.
    • Read research articles in at least one discipline of mathematics.
  • Carry out major projects.
    • Independently carry out a major project related to mathematics or mathematical applications. This entails taking into account the complexity of the project, its objectives and the resources available to carry it out.
    • Give constructive criticism on the quality and progress of a project.
    • Work in teams and, in particular, communicate effectively and with respect for others.
    • Appropriately use bibliographic resources for the intended purpose.
    • Present the objectives and results of a project orally and in writing.
  • Communicate clearly.
    • Communicate the results of mathematical or related fields, both orally and in writing, by adapting to the public.
    • make a structured and reasoned presentation of the content and principles underlying a piece of work, mobilised skills and the conclusions it leads to.

Learning Outcomes of UE

Introduction to mathematical statistics

UE Content: description and pedagogical relevance

- estimators and their quality
- hypothesis testing : quality of a test, t-tests, binomial tests, Chi-squared tests
- ANOVA, one and two factors
- simple and multiple linear regression

Prior Experience

Good knowledge of the courses Probability and Statistics I and II

Type(s) and mode(s) of Q1 UE assessment

  • N/A - Néant

Q1 UE Assessment Comments

Not applicable

Method of calculating the overall mark for the Q1 UE assessment

Not applicable

Type(s) and mode(s) of Q1 UE resit assessment (BAB1)

  • N/A - Néant

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Method of calculating the overall mark for the Q1 UE resit assessment

Not applicable

Type(s) and mode(s) of Q2 UE assessment

  • Oral presentation - Face-to-face

Q2 UE Assessment Comments

Not applicable

Method of calculating the overall mark for the Q2 UE assessment

Not applicable

Type(s) and mode(s) of Q3 UE assessment

  • Oral presentation - Face-to-face

Q3 UE Assessment Comments

Not applicable

Method of calculating the overall mark for the Q3 UE assessment

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
S-MATH-105
  • Cours magistraux
  • Préparations, travaux, recherches d'information
S-MATH-030
  • Cours magistraux
  • Préparations, travaux, recherches d'information

Mode of delivery

AAMode of delivery
S-MATH-105
  • Face-to-face
S-MATH-030
  • Face-to-face

Required Learning Resources/Tools

AARequired Learning Resources/Tools
S-MATH-105Exercise sheets
S-MATH-030Slides of the presentation put on moodle

Exercise sheets

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
S-MATH-105Not applicable
S-MATH-030Not applicable

Other Recommended Reading

AAOther Recommended Reading
S-MATH-105Pierre-André Cornillon, François Husson, Nicolas Jégou, Eric Matzner-Lober : Statistiques avec R
Frédéric Bertrand, Myriam Maumy-Bertrand : Initiation à la statistique avec R
Alain Monfort : Cours de statistique mathématique
Benjamin Jourdain : Probabilités et statistique
Gilbert Saporta : Probabilités, analyse des données et statistique
Randall Pruim : Foundations and applications of statistics
Steven F. Arnold : Mathematical statistics
S-MATH-030Not applicable
(*) 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 : 10/05/2022
Date de dernière génération automatique de la page : 21/06/2023
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be