Descriptif
The first objective of this course is to provide the students with the statistical and econometric tools needed to conduct large-scale analysis of data. This course also aims at providing the students with knowledge on how to rigorously carry out an empirical scientific project.
effectifs minimal / maximal:
5/35Diplôme(s) concerné(s)
Parcours de rattachement
Pour les étudiants du diplôme Diplôme d'ingénieur
Vous devez avoir validé l'équation suivante : UE MODS203 Et UE MODS202
S1P1 (B1) : MODS 202: Econometrics au S1P1 S1P2 (B2) : MODS 203: Data analysis in economics 1: Collection and Visualization
Format des notes
Numérique sur 20Littérale/grade européenPour les étudiants du diplôme Diplôme d'ingénieur
Vos modalités d'acquisition :
The grade will be mainly based on a group project, which will be delivered in the form of a report (together with the corresponding code) and presented during an intermediate and a final presentation. The final presentation will also feature individual questions that will contribute to the overall grade of the student.
Please note that, in case of late deliveries of the required outputs, penalties will apply.
L'UE est acquise si Note finale >= 10- Crédits ECTS acquis : 2.5 ECTS
- Crédit d'UE électives acquis : 2.5
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme Echange international non diplomant
Vos modalités d'acquisition :
The grade will be mainly based on a group project, which will be delivered in the form of a report (together with the corresponding code) and presented during an intermediate and a final presentation. The final presentation will also feature individual questions that will contribute to the overall grade of the student.
Please note that, in case of late deliveries of the required outputs, penalties will apply.
L'UE est acquise si Note finale >= 10- Crédits ECTS acquis : 2.5 ECTS
- Crédit d'UE électives acquis : 2.5
La note obtenue rentre dans le calcul de votre GPA.
