année académique
2025-2026

Titulaire(s) du cours

Afrae Hassouni (Coordonnateur)

Crédits ECTS

5

Langue(s) d'enseignement

anglais

Contenu du cours

  • Introduction to statistics
  • Descriptive statistics : one variable
  • Probability theory
  • Descriptive statistics : bivariate variable
  • Time series forecasting
  • Discrete random variables

Objectifs (et/ou acquis d'apprentissages spécifiques)

At the end of the course, the students will be able to :

  • Master the descriptive statistical concepts with univariate and bivariate quantitative and/or qualitative variables.
  • Master the elements of the probability theory and the laws of probability to prepare statistical inference which will be studied in 2nd year.
  • Apply the knowledge in situations of the daily life.

Pré-requis et Co-requis

Connaissances et compétences pré-requises ou co-requises

Courses requiring this course:
STAT-S272: Statistics 2 - In the programme Bachelor in Economics: General - Option English

Méthodes d'enseignement et activités d'apprentissages

  • Theory : 24h ex-cathedra class
  • Exercises: 24h exercices in small group

Références, bibliographie et lectures recommandées

  • Dehon, C., Droesbeke J.-J. et Vermandele (2008), Eléments de statistique, Bruxelles, Editions de L'Unviversité de Bruxelles.
  • Anderson D., Sweeney D., Williams T. (2001), Statistiques pour l'économie et la gestion, Bruxelles, De Boeck Université.
  • Dagnelie P. (1998), Statistique théorique et appliquée. Tome 1: Statistique descriptive et bases de l'inférence statistique, Bruxelles, De Boeck Université.

Support(s) de cours

  • Université virtuelle

Contribution au profil d'enseignement

This course contributes to the following program outcomes: 

Disciplinary knowledge and its applications
  • Apply fundamental concepts, tools and models in economics and management to formulate a well-defined problem and propose a multidisciplinary solution relevant to the economic context (Introduction)
Academic mindset
  • Adopt a scientific approach to data collection, research and analysis and communicate results with clear, structured and sophisticated arguments (Introduction)
  • Display critical thinking, logical and abstract reasoning and develop an independent approach to learning (Introduction)
Quantitative skills
  • Solve standard mathematical and statistical problems by analysing data with standard office and statistical software (Introduction) [Bachelor’s in Economics only]
  • Apply quantitative and qualitative techniques to support problem solving using standard office and scientific software (Introduction) [Bachelor’s in Business Engineering only]
  • Assess the quality of a statistical or quantitative analysis of an economic problem (Reinforcement) [Bachelor’s in Economics only]

Autres renseignements

Contacts

Afrae Hassouni

Campus

Solbosch

Evaluation

Méthode(s) d'évaluation

  • Autre

Autre

Written exam: 20 points on theoretical (50%) and practical questions (50%)

Construction de la note (en ce compris, la pondération des notes partielles)

Written exam: 20 points on theoretical (50%) and practical questions (50%)

Langue(s) d'évaluation

  • anglais

Programmes