This learning unit is not open to incoming exchange students!
Teacher(s)
Language
English
Prerequisites
Pre-requisite:
LECGE 1316 - Econométrie, or similar
LECGE1212 Macroéconomie or similar
LECGE1222 Microéconomie or similar
LECGE 1316 - Econométrie, or similar
LECGE1212 Macroéconomie or similar
LECGE1222 Microéconomie or similar
Content
The aim of this course is to provide students with skills and practice to:
Students will learn to think of global issues and analyse data to adress them.
They will learn to think formally about a problem and to adress it critically using data.
Soft skills
Learning to work in a team. Oral and written presentations.
Pre-requisite:
LECGE 1316 - Econométrie, or similar
LECGE1212 Macroéconomie or similar
LECGE1222 Microéconomie or similar
- Use econometrics, statistics and economic theory to analyse issues of global significance
- Increase awareness of the breadth of questions addressed by economists
- Critically assess academic and policy material related to economics
- Build a common identity among ESL/ESN students
Students will learn to think of global issues and analyse data to adress them.
They will learn to think formally about a problem and to adress it critically using data.
Soft skills
Learning to work in a team. Oral and written presentations.
Pre-requisite:
LECGE 1316 - Econométrie, or similar
LECGE1212 Macroéconomie or similar
LECGE1222 Microéconomie or similar
Teaching methods
Teaching methods in the course will be varied. It will consist of lectures, tutorial sessions, small group presentations and in-class workshops. Attendance and participation in all activities is mandatory.
Evaluation methods
Students will be evaluated continuously throughout the course. They will receive a single grade for the course at the end of Q2. The final grade will take into account the following components:
A replication exercise (35%)
In-class quizzes (15%)
Presentations of progress on the projects (15%)
Poster session (10%)
Project writeup (30%)
Participation in class activities (5%)
Participation will be evaluated based on attendance at lectures, participation in discussions during lectures and on Moodle, and peer-evaluations of team work by group mates.The replication exercise can be retaken during the January session in case of failure. The project can be resubmitted at the August session in case of failure.
All other evaluations can not be retaken.
A replication exercise (35%)
In-class quizzes (15%)
Presentations of progress on the projects (15%)
Poster session (10%)
Project writeup (30%)
Participation in class activities (5%)
Participation will be evaluated based on attendance at lectures, participation in discussions during lectures and on Moodle, and peer-evaluations of team work by group mates.The replication exercise can be retaken during the January session in case of failure. The project can be resubmitted at the August session in case of failure.
All other evaluations can not be retaken.
Other information
The use of artificial intelligence for student work in this course is governed by the rules set out in the faculty memorandum on this subject, which is available on the faculty intranet in the information for students section.
Online resources
Mood
Faculty or entity
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Economics: General