Duration
25h Th
Number of credits
| Bachelor in biology | 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
In various fields of biology, the evolution of technology results in the production of large raw data sets. 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, correlation, equivalence testing) to the implementation of integrative analysis required by specific problems
Specifically, the course will focus on the use of the R language. The professor is a contributor of official R packages since 2008.
Learning outcomes of the learning unit
Reflexes and practical autonomy needed to address the processing and analysis of complex biological data sets with the R software, from multi source data loading to the summary statistics and results visualization. Ability to plan the different stages of a data analysis.
Prerequisite knowledge and skills
Students are encouraged to review the basics they have already acquired in the following areas: statistics and programming.
Planned learning activities and teaching methods
Mini theoretical lectures and practical work on computer.
Mode of delivery (face to face, distance learning, hybrid learning)
This course is entirely on-line at the address: http://www.bioinfo.uliege.be/classes/STAT0077/
Passwords for this course can be obtained on the ecampus forum of this class.
Organisational adjustments related to the current health context
Recommended or required readings
Getting Started with R: An Introduction for Biologists (Oxford Biology 2012) by Andrew P. Beckerman and Owen L. Petchey
Assessment methods and criteria
Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.
Each student is evaluated through a practical exam, in the computer room with questions quite similar to the practical sessions. Typically a few theoretical questions are inserted in the exam.
A list of names of functions (used during the practical sessions) will be made available to the student during the exam. However, all other sources of information (solved exercises, slides, written notes, books, internet,...) are forbidden.
It is a written exam (on computers) and it last four hours.
An interrogation that exempts from the exam (given a minimum of 12/20) will take place between mid-october and mid-november (information such as duration, starting time, process,... are detailed on the webpage of this class)
Work placement(s)
Organizational remarks
Lessons are given online.
Some courses could potentially be given in the computer room of bldg B22 (Labo B, floor -1).
Contacts
Prof. Patrick Meyer
Life Sciences Department
Bdg B22, room 3/03
Campus du Sart-Tilman
Chemin de la Vallée, 4
4000 Liège - Belgique
Tel: 04/366 3030
email: patrick.meyer@ulg.ac.be(Patrick.Meyer@ulg.ac.be
)
Teaching Assistant:
Damien Sirjacobs ( d.sirjacobs@ulg.ac.be )