Quantitative methods in studying history

lhist1320  2020-2021  Louvain-la-Neuve

Quantitative methods in studying history
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).
5 credits
22.5 h
Q1
Teacher(s)
François Aurore;
Language
French
Prerequisites

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
Critique of numerical documentation. Dealing with a statistical series by elementary methods (organization and processing data, descriptive analysis, graphical presentation.
Aims

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

1 Attract students' attention to the possibilities of enriching certain historical procedures through recourse to quantitative methods. By the end of this course, in using the methods taught, the student should be able to provide proof that he is capable of critically solving simple historical problems on the basis of numerical data.
 
Content
Based on numerous examples, presentation of the interest of quantitative methods in solving historical problems.
  • Collection, organization and presentation of data.
  • Analysis and description of a series of data (résumé via a unique value, distribution and concentration). Analysis of a chronological curve. Methods of data adjustment, correlation and covariation.
  • Simple and synthetic indices.
  • Sampling. Elementary presentation of certain techniques.
Teaching methods

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

Theoretical presentations, case analysis and resolution of exercises, including computer-based exercises
Evaluation methods

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

Written exam, partly computer-based.

 
Other information
Support : student notes, slides, graphics and statistical tables, datasets
Faculty or entity
HIST


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

Title of the programme
Sigle
Credits
Prerequisites
Aims
Bachelor in History