Teacher(s)

Legrand Catherine;

Language

French

Content

This course reviews the prerequisites in mathematics for the courses of the certificates and masters in statistics. 
On particular, fundamental concepts of combinatory analysis, matrix algebra, analysis of single and multiple variables functions (including limits, derivatives and integrals). 

Teaching methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

Formal lectures and exercices sessions.
In 2020-2021, the formal lectures will be organised as "co-modal" with a live broadcast of the course via Teams. It is however advised for the students for whom it is possible (not in quarantine, no symptoms, ...) to be present for the course. 

Evaluation methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

 Written exam - 2 hours - closed book - A form with formula provided by the teacher and a non-programmable calculator are allowed.
The exam consists mainly in exercices but could also include theoretical questions. 
One (non-mandatory) dispensatory evaluation at the beginning of the semester and one (mandatory)  evaluation test are organised at the end of the course. Students with at least 14/20 for the dispensatory evaluation or at least 12/20 for the evaluation test will be allowed to not perfom the exam. 

Online resources

Moodle Website - LSTAT2011: Eléments de mathématiques pour la statistique

Bibliography

Wackerly et al. (2002) Mathematical Statistics with Applications
Dowling E.T. (1995) Mathématiques pour l’économiste
Dodge Y. (2007) Mathématiques de base pour économistes
Lecoutre J.P. (1998) Statistique et probabilités

Teaching materials

• Transparents du cours disponible sur Moodle

Faculty or entity

LSBA