Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
At the end of this learning unit, the student is able to :
a. Contribution of this activity to the learning outcomes referential :
b. Specific formulation of the learning outcomes for this activity
A the end of this activity, the student is able to :
· Name, describe and explain the theoretical concepts underlying the statistical inference approach and the theoretical models that are used in this framework;
· Connect the deductive approach of probability theory to the inductive approach of statistical inference by clearly identifying the probabilistic models that are subject to this inference;
· Translate mathematically textual statements if an inferential problem in statistics by using a rigorous mathematical and appropriate statistical models and by relying on appropriate theoretical tools and estimation methods;
· Solve an applied problem by using a sound approach that relies on a correct use of well identified models and relevant tools of the inferential statistical framework;
· Validate the internal consistency of the mathematical expressions and results based on data at hand and logical constraints that are induced by the statistical framework;
The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.