Duration
15h Th, 15h Pr
Number of credits
| Master in bio-informatics and modelling, research focus | 3 crédits | |||
| Master in oceanography, research focus | 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
Students are encouraged to review the basics they may have already acquired in the following areas: statistics and programming.
Planned learning activities and teaching methods
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
Further information:
Blended learning
Additional information:
For the part with Patrick Meyer, videos and exercices are available online at the web address: www.bioinfo.uliege.be/classes/I2BDA/
The password is available on the ecampus forum of this class.
For Patrick Meyer's part, the practical exercices are fully online but theoretical lectures are generally given face to face.
For the part given by Marilaure Grégoire, in presence only, theory and practical sessions will be organized.
Course materials and recommended or required readings
Other site(s) used for course materials
- Site web de Patrick Meyer pour ce cours (www.bioinfo.uliege.be/classes/I2BDA/)
Further information:
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 ) AND oral exam
Out-of-session test(s)
Further information:
Exam(s) in session
Any session
- In-person
written exam ( multiple-choice questionnaire, open-ended questions )
oral examination (ocean part)
Additional information:
The course evaluation will be based on a written examination + oral examination (ocean part).
For the first part (Prof. Meyer), ecampus interrogations can take place during the courses (the organisational details are given on the first course and/or on 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-line and our RStudio server can be made available so that student can perform exercises, interros and exams via a standard web browser.
Contacts
Prof. Patrick Meyer: Patrick.Meyer@uliege.be
Assistant Meyer: bioinformatics@uliege.be
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Prof. Marilaure Grégoire: mgregoire@uliege.be