2024-2025 / BIOL0856-1

Data analysis in ecology, ethology and evolutionary biology

Duration

20h Pr

Number of credits

 Master in biology of organisms and ecology, research focus3 crédits 
 Master in biology of organisms and ecology, teaching focus3 crédits 
 Master in biology of organisms and ecology, professional focus in integrated management of aquatic resources and aquaculture3 crédits 
 Master in biology of organisms and ecology, professional focus in conservation biology : biodiversity and management3 crédits 

Lecturer

Bruno Frederich

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

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