Applied statistics workshops

lstat2390  2018-2019  Louvain-la-Neuve

Applied statistics workshops
3 credits
15.0 h
Q1 and Q2
Language
English
Prerequisites
Professional integration activity

The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
Each seminar (1 hour) is presented by a different speaker coming from a private or public company or from universities. The themes can be applications of statistical tools to various application domains, tutorials on recent statistical domains or methodological aspects of applied statistics and statistical consulting. The presentations are more focused on the methodological aspects and main results than on the mathematical details of the discussed problems.
Aims

At the end of this learning unit, the student is able to :

1 Participants in this course will learn about applying statistical thinking in real life problems and about recent statistical advances with immediate practical potential. This seminar publicly announced offers to a public of applied statisticians a place to meet and to present and discuss their work. It gives the opportunity to the students to open their mind to various application domains of statistics.
 

The contribution of this Teaching Unit to the development and command of the skills and learning outcomes of the programme(s) can be accessed at the end of this sheet, in the section entitled “Programmes/courses offering this Teaching Unit”.
Content
Each seminar (1 hour) is presented by a different speaker coming from a private or public company or from universities. The themes can be applications of statistical tools to various application domains, tutorials on recent statistical domains or methodological aspects of applied statistics and statistical consulting. The presentations are more focused on the methodological aspects and main results than on the mathematical details of the discussed problems.
Other information
Prerequistes Courses of the DEC in statistics Evaluation Students who wish to attend this seminar for credit must attend a sufficient number of presentations and participate actively in the discussions following the participations. They then select two of the seminars, review their content, and prepare short talks which render the essential content and situates the talks in a wider context.
Faculty or entity


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

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Data Science Engineering
3

Master [120] in Statistic: Biostatistics
3

Master [120] in Statistic: General

Master [120] in data Science: Statistic
3

Master [120] in data Science: Information technology
3