Course teacher(s)
Afrae Hassouni (Coordinator)ECTS credits
5
Language(s) of instruction
english
Course content
- Introduction to statistics
- Descriptive statistics : one variable
- Probability theory
- Descriptive statistics : bivariate variable
- Time series forecasting
- Discrete random variables
Objectives (and/or specific learning outcomes)
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.
Teaching methods and learning activities
- Theory : 24h ex-cathedra class
- Exercises: 24h exercices in small group
References, bibliography, and recommended reading
- 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.
Contribution to the teaching profile
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)
- 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)
- 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]
Other information
Campus
Solbosch
Evaluation
Method(s) of evaluation
- Other
Other
Written exam: 20 points on theoretical (50%) and practical questions (50%)
Mark calculation method (including weighting of intermediary marks)
Written exam: 20 points on theoretical (50%) and practical questions (50%)
Language(s) of evaluation
- english