Study programme 2019-2020Français
Statistics 1
Programme component of Bachelor's (Charleroi (Hor. jour)) à la Warocqué School of Business and Economics

Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what assessment methods are planned for the end of Q3

CodeTypeHead of UE Department’s
contact details
Teacher(s)
UW-B1-SGEGIG-024-CCompulsory UEVOLRAL MélanieW718 - Analyse économique du travail
  • VOLRAL Mélanie

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Français
Français3030018044.00Année

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
W-AETR-014Descriptive Statistics1412060Q1
W-AETR-040Probabilities16180120Q2
Programme component

Objectives of Programme's Learning Outcomes

  • Implement an academic view on knowledge, particularly through the mastery of methods and literature research tools.
    • Understand, synthesise and discuss complex information and texts on economics and management.
    • Develop and structure reasoning by basing it on suitable scientific arguments
  • Actively master the fundamental concepts and models of economic sciences and management sciences
    • Understand the methods and tools adapted to the field of economics and management
  • Acquire basic methodological tools necessary for scientific inquiry in the field of economics and management.
    • Describe the principles of methodological approaches (objectives, methods, techniques and tools) to understand and explain the functioning of organisations and markets.
  • Critically compare knowledge acquired to real situations.
    • Demonstrate an acute sense of analysis, criticism and ethics in relation to various issues in economics and management.

Learning Outcomes of UE

After this course, students will be able to : - represent and analyse a set of statistical data - control the bases of probability theory.

Content of UE

One-dimension descriptive statistics : tables and diagrams of frequencies; position and dispersion parameters of a frequencies distribution. Two-dimensions descriptive statistics : regression and correlation. Random experiments and events. The different approaches of the concept of probability. Random variables and distribution of probability. Particular distributions. Mathematical expectation and variance. Independance of random variables. Some fundamental theorems.

Prior Experience

Not applicable

Type of Assessment for UE in Q1

  • Oral examination
  • Written examination

Q1 UE Assessment Comments

This assessment test in Q1 (written examination) concerns the content of the learning activity "Descriptive statistics" (the score is denoted SD1 below). Evaluation is based on a written examination (100%). Only in situations where a student has to take two exams at the same time, an oral examination could be envisaged.

Type of Assessment for UE in Q2

  • Oral Examination
  • Written examination

Q2 UE Assessment Comments

- If SD1 is equal to or greater than 12/20, SD1 can be kept and this assessment test in Q2 (written examination) only concerns the content of the learning activity "Probability theory"  (the obtained score is denoted CP1 below). The global score for the programme component is calculated as follows : global score = 0.4 * SD1 + 0.6 * CP1 - If SD1 is lower than 12/20, this assessment test in Q2 (written examination) concerns the WHOLE content of the programme component "Statistics 1", that is to say the two learning activities "Descriptive statistics" (the score obtained for the learning activity "Descriptive statistics" is denoted SD2 below) and "Probability theory" (the score obtained for the learning activity "Probability theory" is denoted CP1 below). The global score for the programme component is calculated as follows: global score = 0.4 * SD2 + 0.6 * CP1
  - If SD1 is equal to or greater than 12/20 and that the student does not wish to keep it, this assessment test in Q2 (written examination) concerns the WHOLE content of the programme component "Statistics 1", that is to say the two learning activities "Descriptive statistics" (the score obtained for the learning activity "Descriptive statistics" is denoted SD2 below) and "Probability theory" (the score obtained for the learning activity "Probability theory" is denoted CP1 below). The global score for the programme component is calculated as follows : global score = 0.4 * SD2 + 0.6 * CP1 Evaluation is based on a written examination (100%). Only in situations where a student has to take two exams at the same time, an oral examination could be envisaged.

Type of Assessment for UE in Q3

  • Oral examination
  • Written examination

Q3 UE Assessment Comments

This assessment test in Q3 (written examination) concerns the WHOLE content of the programme component "Statistics 1", that is to say the two learning activities "Descriptive statistics" (the score obtained for the learning activity "Descriptive statistics" is denoted SD3 below) and "Probability theory" (the score obtained for the learning activity "Probability theory" is denoted CP2 below). The global score for the programme component is calculated as follows : global score = 0.4 * SD3 + 0.6 * CP2 If the student has obtained a score equal to or greater than 12/20 for the learning activitiy "Descriptive statistics" or equal to or greater thatn 10/20 for the learning activity "Probability theory" at the assessment tests in Q1 or Q2, this score can be kept and be taken into account in the above computation of the global score (the student in that case does not present anymore the learning activity for which he has obtained the score equal to or greater than 12/20).    Evaluation is based on a written examination (100%). Only in situations where a student has to take two exams at the same time, an oral examination could be envisaged.

Type of Resit Assessment for UE in Q1 (BAB1)

  • N/A

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
W-AETR-014
  • Cours magistraux
  • Travaux pratiques
  • Remédiations intégrées à un type d'AA
W-AETR-040
  • Cours magistraux
  • Travaux pratiques
  • Remédiations intégrées à un type d'AA

Mode of delivery

AAMode of delivery
W-AETR-014
  • Face to face
W-AETR-040
  • Face to face

Required Reading

AARequired Reading
W-AETR-014Note de cours - Statistique 1 - 1ère partie : Statistique descriptive - M. Volral, J.-M. De Corte, P. Couvreur
W-AETR-040

Required Learning Resources/Tools

AARequired Learning Resources/Tools
W-AETR-014Not applicable
W-AETR-040Not applicable

Recommended Reading

AARecommended Reading
W-AETR-014
W-AETR-040Note de cours - Statistique 1 - 2ème partie : Calcul des probabilités - M. Volral

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
W-AETR-014Not applicable
W-AETR-040Not applicable

Other Recommended Reading

AAOther Recommended Reading
W-AETR-014WONNACOTT T., H. et WONNACOTT R., J. (1995) " Statistique : Economie - Gestion - Sciences - Médecine (avec exercices d'application) ", 4ème Edition, Economica. DROESBEKE; J.-J. (1997) "Eléments de Statistique", Editions de l'Université de Bruxelles, 3ème édition, Bruxelles.
W-AETR-040WONNACOTT T., H. et WONNACOTT R., J. (1995) " Statistique : Economie - Gestion - Sciences - Médecine (avec exercices d'application) ", 4ème Edition, Economica. DROESBEKE; J.-J. (1997) "Eléments de Statistique", Editions de l'Université de Bruxelles, 3ème édition, Bruxelles.
(*) 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 : 13/07/2020
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