Learning outcomes

At the end of the course, the student will be able to carry out a data science project, in particular by using the skills acquired in the other courses taken. They will be able to analyse data and present the results of their analysis in an efficient and understandable way

Goals

The project will be carried out in relation to the student's professional context (or if impossible with a realistic problem).

Teaching methods

The teaching and assessment arrangements for the teaching units have been drafted to reflect the situation at the start of the 2020-2021 academic year. However, these modalities could be subject to modifications according to the evolution of the health crisis linked to covid-19. Students will be informed of any change in the general situation (switch to partial or full distance learning) by the UNamur authorities, while changes specific to each teaching unit will be communicated to them by the teachers, via webcampus

Assessment method

The student will be assessed on the completion of a project involving the different disciplines in data science. The assessment will be based on the report written by the student and its oral presentation.

Language of instruction

French