Duration
15h Th, 15h Pr
Number of credits
| Advanced Master in Environmental Sciences and Management in Developing Countries (Registrations are closed) | 2 crédits |
Lecturer
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
This course is a basic introduction to statistics. It presents some elementary statistical methods applicable in environmental science and sciences in general.
It presents the main steps of a statistical analysis, tools for descriptive statistics and methods of statistical inference (including point estimation, confidence intervals and hypothesis tests) for univariate statistics.
The course will focus on the understanding of the statistical process, the ciritical interpretation of statistical results, and the application of the studied statistical methods. The students will also learn how to use the statistical software R.
Learning outcomes of the learning unit
The course aims at providing the students with the necessary tools to
- Understand and use elementary (univariate) statistical tools.
- Understand simple statistical results in their context. Be able to read, in a critical way, numerical or graphical statistical results (linked to the methods seen in the course).
- Understand the challenges, benefits and limitations of statistical studies.
- Having the necessary vocabulary/background to be able to interact with a statistician in the context of an environmental problem.
- Be able to use the statistical software R and interpret its output.
Prerequisite knowledge and skills
Notions of mathematics
Planned learning activities and teaching methods
Lectures and exercices (written and computer-based)
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Additional information:
Both the theory classes and the exercices will be given face-to-face at the campus in Arlon.
Recommended or required readings
The course notes and/or slides and exercises will be made available through eCampus.
Exam(s) in session
Any session
- In-person
written exam ( multiple-choice questionnaire, open-ended questions )
Additional information:
The assessment focuses on the correct use and understanding of the statistical methods, the interpretation of the results as well as the use of the statistical software R. The exam consists of 2 parts:
- 70% of the marks is assigned to a written examination, consisting of multiple choice questions (understanding of theory, short exercises) and open questions (long exercises, interpretation of results),
- 30% of the marks comes from a practical examination (statistical analyses in R).
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Professor: Laurent Loosveldt (l.loosveldt@uliege.be)
Assistant: Carole Baum