3.00 credits
15.0 h + 15.0 h
Q1
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).
On particular, fundamental concepts of combinatory analysis, matrix algebra, analysis of single and multiple variables functions (including limits, derivatives and integrals).
Teaching methods
Formal lectures and exercices sessions onsite.
Evaluation methods
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.
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
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
Programmes / formations proposant cette unité d'enseignement (UE)
Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Master [120] in Data Science : Statistic
Advanced Master in Quantitative Methods in the Social Sciences
Minor in Statistics, Actuarial Sciences and Data Sciences
Certificat d'université : Statistique et science des données (15/30 crédits)