Statistics and computer methods in Criminology

lcrim2111  2019-2020  Louvain-la-Neuve

Statistics and computer methods in Criminology
Note from June 29, 2020
Although we do not yet know how long the social distancing related to the Covid-19 pandemic will last, and regardless of the changes that had to be made in the evaluation of the June 2020 session in relation to what is provided for in this learning unit description, new learnig unit evaluation methods may still be adopted by the teachers; details of these methods have been - or will be - communicated to the students by the teachers, as soon as possible.
4 credits
30.0 h
Q2
Teacher(s)
Vesentini Frédéric;
Language
French
Main themes
This course in methodology deals with the entire process of quantification in criminology : data identification, categorization, management, extraction, calculation and interpretation. 
This subject matter is directly linked to the mastery of computing tools allowing its application : relational databases and spreadsheets. 
Each stage is approached in taking elements of informational critique and the data's epistemological value into account.
Aims

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

1 Based on a corpus of documents and a research problem, students having taken this course will be able to create a database allowing them to exploit these documents, produce relevant figures with regard to the problem based on their database, as well as representing and exploiting them in an optimal way.
 

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”.
Faculty or entity
ECRI


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

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Criminology