lstat2011  2020-2021  Louvain-la-Neuve

Due to the COVID-19 crisis, the information below is subject to change, in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).
3 credits
15.0 h + 15.0 h
Q1
Teacher(s)
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


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Data Science : Statistic

Certificat d'université : Statistique et sciences des données (15/30 crédits)

Minor in Statistics, Actuarial Sciences and Data Sciences