Duration
20h Pr
Number of credits
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
The course is oriented towards the practice of analyzing real biological data. The main objective is to make students aware of the diversity of comparative analyses available to address questions in ecology, biodiversity, ethology and evolutionary biology.
The tutorial sessions are devoted to the statistical analysis of data collected during studies carried out in our research laboratories.
In addition to these tutorials, discussion sessions will be organized. Discussions can be conducted around detailed statistical analyses in scientific publications.
Learning outcomes of the learning unit
- Explore datasets using descriptive analyses and various graphical representations.
- Select and apply appropriate statistical tests to test hypotheses in ecology, ethology and evolution.
Prerequisite knowledge and skills
To master the notions of the courses of basic and multivariate statistics
Planned learning activities and teaching methods
- Presentation of R and RStudio as well as the freeware PAST.
- (Brief) theoretical introductions followed by the realization of statistical analyses of contextualized data.
- Discussions.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to face and mandatory
Course materials and recommended or required readings
Exam(s) in session
Any session
- In-person
written exam ( multiple-choice questionnaire, open-ended questions )
Further information:
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions )
Additional information:
The assessment will consist of two parts.
Part 1: knowledge of the diversity of statistical analyses will be assessed by a questionnaire requiring short answers (e.g.: MCQ, True/False, sentences to complete...).
Part 2: the student will be asked to answer a series of questions requiring the use of the methods introduced during the classes (using his/her computer).
The final score will be calculated as follows: 25% (part 1) + 75% (part 2).
Work placement(s)
Organisational remarks and main changes to the course
It is best to have your own computer. R, RStudio and the freeware PAST will be installed on the computer. It is also possible to use RStudio online.
Contacts
Bruno FREDERICH
Ecologie Evolutive
Institut de Chimie (B6c), office 3/81
Allée du six Août 11, B-4000 Liège.
Email : bruno.frederich@uliege.be
Tél. +3243665040
Association of one or more MOOCs
Items online
R documentation
Documents on R use
R-Studio On-line
To access R-Studio on-line