Duration
12h Th, 12h Pr
Number of credits
| Specialised master in environmental management in developing countries | 2 crédits |
Lecturer
N...
Substitute(s)
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The course presents some elementary statistical methods for environment.
It presents the main steps of a statistical analysis, tools for descriptive statistics and methods of statistical inference (including point estimation, confidence intervals and tests). We will focus in the first section on univariate statistics. In the second section, methods in multivariate statistics will be approached
The students will also learn how to use a statistical software in the section section.
Learning outcomes of the learning unit
- Understanding and using elementary statistical tools.
- Understanding simple statistical results in context.
- Understanding the scope of statistical studies
- Having the needed vocabulary/background to be able to interact with a statistician
- Knowing how to use a statistical software and how to interpret its outputs (Second section)
Prerequisite knowledge and skills
Notions of mathematics
Planned learning activities and teaching methods
Lectures and exercices
Mode of delivery (face-to-face ; distance-learning)
Face-to-face
Recommended or required readings
Course notes and exercises are available through MyULG.
Assessment methods and criteria
Assessment during the examination session
Work placement(s)
Organizational remarks
Contacts
Laurent De Rudder
Université de Liège
Département de Mathématique, B37
l.derudder@uliege.be
Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session
Teaching methods implemented : distance-learning
Assessment subjects
Assessment methods
Contacts
Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session
Assessment subjects
For the exam, you will have to understand all the topics covered during the lectures: From Tp1 to TP5.
Assessment methods
An MCQ via eCampus. You will be allowed to use your personnal notes and a calculator (a real one or via softwares: Excel, mathematica, R). The students are not allowed to take the exam together.
Contacts
l.derudder@uliege.be
A jitsi link will be created just before the exam.