Duration
8h Th
Number of credits
| Advanced Master in Specialised Veterinary Medicine (Registrations are closed) | 1 crédit |
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
This course summarizes basic notions in statistics (random variables, distributions, hypotheses testing, descriptive statistics), with an emphasis on the techniques to be used for courses to be taught during the year (risk analysis, for example). Theoretical aspects are illustrated using a spreadsheet.
Learning outcomes of the learning unit
A goal is to help the student to become familiar with the various descriptive measures used in statistics to summarize a data collection, and, more importantly, to demonstrate how field problems can be addressed through statistical hypotheses testing.
Prerequisite knowledge and skills
Planned learning activities and teaching methods
Mode of delivery (face to face, distance learning, hybrid learning)
8 hours lectures, with numerous illustrating examples to be discussed interactively with the students.
Recommended or required readings
An electronic copy of the slides and of the numerous examples illustrating the course are provided to the students at the first course.
A series of exercises, similar to those worked during the course, is used as a written exam to obtain the student's score.
Work placement(s)
Organisational remarks and main changes to the course
2 sessions of 4 hours are given. The schedule is fixed to allow master and certificate students to attend.
Contacts
Frédéric Farnir:
E-mail: f.farnir@ulg.ac.be
Téléphone: +32 4 366 41 28
Biostatistics and Bioinformatics in Vet Sciences
Department of Animal Productions
Faculty of Veterinary Medicine, B43
4000 Liege (Belgium)