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.
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.
5 credits
30.0 h + 30.0 h
Q1
Teacher(s)
Vanwambeke Sophie;
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
This course presents the statistical techniques most often used in geography: regression, factor analysis, classification; analysis of discrete data; bases of spatial analysis. Practicals lead to a basic knowledge of a statistical analysis software (R).
Aims
At the end of this learning unit, the student is able to : | |
| 1 | To introduce the principal statistical methods used in geography. To be able to use them in practice: choice of the method according to nature of the problem, implementation on a computer, interpretation and communication of the results; To be able to understand the statistical aspects most frequently met in the geographical literature. |
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
This is a course of intermediate leve for which knowledge of basic statistics is assumed. Ojectives: know and master the principal statistical analysis methods; use them correctly and in a relevant fashion in the practice of geography: choosing an appropriate method, applying it using a computer and software, interpret and communicate results, understand the most often encountered statistical features of case studies in the field of geography.
Teaching methods
Lectures integrate elements of flipped classroom to be adapted yearly to the number of students registered, but generally based on student-led presentations of theory followed by group discussions of important points, and case studies relevant to the method at hand.
Evaluation methods
Theory (60%) : contribution to class presentation and group discussion based on prepared reading (20%); written exam with access to the course notes allowed (20%); oral presentation of one ortwo articles that use methods studied in class (20%). Practicals (40%): exercices (20%) detailed case study (20%). The notes obtained for the contribution to class and to a detailed case study are attached to all exam session of the academic year.
Online resources
https://moodleucl.uclouvain.be/course/view.php?id=7445
Teaching materials
- matériel sur moodle
Faculty or entity
GEOG
