Course 2024-2025

Statistics for the humanities I [EPICB154]

  • 5 credits
  • 30h+15h
  • 1st quarter
Language of instruction: French / Français

Learning outcomes

This course is an introduction to the methods of statistical inference used in human sciences. It aims at familiarising student with statistical modelling, data treatment and data interpretation, using descriptive statistics and inferential tools. It also provides the necessary basics in probability theory. The primary objective of the course is to give students analytical and operational skills, i.e. providing them tool to analyse data in a critical, coherent and rigourous way in order to answer the statistical problem at hand.  

 

Objectives

There are several objectives to the course: (i) cover classical methods in descriptive statistics and train student to have a critical analysis of the derived (numeric or graphical) output; (ii) introduce the basic notions in probability theory and develop the students' mathematical rigour; (iii) cover statistical inference tools.

 

Content

An introduction to descriptive statistics and basic probability. An introduction to discrete random variables. An introduction to the Normal distribution. An introduction to linear regression. 


Teaching methods

Theoretical classes will be, in part, interactive, largely illustrated and with live quizzes. Exercise sessions will illustrate the theory more thoroughly. Weekly quizzes will help students to prepare the exercise sessions. A optional mock exam in November is scheduled.

Evaluations

The written exam will evaluate both theory and exercises. Weekly quizzes and the mock exam will be optionally taken into account.

Recommended readings

All resources will be available on webcampus: exercises sessions, slides (with annotations), etc.

Language of instruction

French / Français

Location for course

NAMUR

Organizer

Faculté des sciences économiques, sociales et de gestion
Rue de Bruxelles, 61
5000 NAMUR

Degree of Reference

Undergraduate Degree