Duration
15h Th, 15h Pr
Number of credits
| Master in bio-informatics and modelling (120 ECTS) | 3 crédits | |||
| Master in oceanography (120 ECTS) | 3 crédits |
Lecturer
Coordinator
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 will consist of a hands-on discovery of computational and statistical tools suitable for the analysis of biological data sets.
Various concepts will be reviewed through exercices, from general concepts (vectors and matrices, p-valeurs) to the implementation of integrated analysis solutions required by specific problems.
Specifically, the course will focus on the use of the R language and several related packages.
Applications of statistical tools (e.g. basic statictis, PCA, and clustering) to oceanographic data will be done.
Learning outcomes of the learning unit
The aim of the lecture is to make students familiar with R and with the use of (basics) statistics.
Prerequisite knowledge and skills
Les étudiants sont invités à revoir les bases qu'ils auraient déjà acquises dans les domaines suivants : statistique et programmation.
Planned learning activities and teaching methods
Mini theoretical lectures, demonstrations and step by step exercises, practical work on computer with challenges to solve and independent practice.
Mode of delivery (face to face, distance learning, hybrid learning)
Blended learning
Additional information:
For the part with Patrick Meyer, videos and exercices are available online (in French or English) at the web address: www.bioinfo.uliege.be/classes/OCEA0224/
The password is available on the ecampus forum of this class.
For the part given by Marilaure Grégoire, a homework is requested consisting in analysing biological oceanographic data.
Recommended or required readings
Part Marilaure Grégoire, the slides and the exercises are made available via eCampus. The book " Numerical Ecology with R" by Daniel Borcard, François Gillet, Pierre Legendre is recommended (the whole book will not be seen, 5 first chapters).
Exam(s) in session
Any session
- In-person
written exam ( multiple-choice questionnaire, open-ended questions )
Written work / report
Additional information:
The course evaluation will be based on a written examination + a homework (ocean part).
The homework will be submitted in January. In case of failure, the homework has to be resubmitted in the second session.
For the first part (Prof. Meyer), ecampus interrogations can take place during the courses (the details (date, hours, process, grading...) are available our web page for this class.
Work placement(s)
Organisational remarks and main changes to the course
The use of a laptop is required at all sessions to follow demonstrations and conduct personal programming exercises. The free software RStudio is available on our servers via any web browser.
Contacts
Prof. Patrick Meyer: Patrick.Meyer@uliege.be
Prof. Marilaure Grégoire: mgregoire@uliege.be