Duration
Presentation of the research topics : 15h SEM
Evidence Based Practice : 6h SEM
Documentary techniques for physical and rehabilitative activities in motor sciences : 5h Th
Use of a statistical software : 4h SEM
Number of credits
| Master in motor sciences (120 ECTS) | 2 crédits | |||
| Master in motor sciences : physical education (120 ECTS) | 2 crédits |
Lecturer
Presentation of the research topics : Collégialité
Evidence Based Practice : Olivier Bruyère, Fanny Buckinx
Documentary techniques for physical and rehabilitative activities in motor sciences : Nancy Durieux
Use of a statistical software : Anne-Françoise Donneau
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
Evidence Based Practice
The different types of studies
Bias in research
Experimentation methodology
Assessment of the relevance of the literature
Documentary techniques for physical and rehabilitative activities in motor sciences
This course is in the continuation of the course APPR1001-1 (taught as part of the Bachelors programme).
The issues covered in this course, which is taught as part the Masters programme, focus on the following topics:
- research tools and (advanced) methodology in researching information in motor sciences, both directed towards the professional practice and/or to scientific research;
- information monitoring.
Use of a statistical software
Introduction to the statistical package R - Rcmdr
Introduction to database creation
ANOVA-I and ANOVA for repeated measures
Learning outcomes of the learning unit
Evidence Based Practice
The objective of this course is to provide the student with elements required to critically appraise the scientific data of his future professional activities, and his end of study work.
Documentary techniques for physical and rehabilitative activities in motor sciences
By the end of the course, students will be able to:
- independently research - within the materials covered in class and using the most efficient research strategies - relevant scientific documentation and information requiring a "high level of proof";
- monitor their information.
Use of a statistical software
At the end of the course, the student should be able to use the main functions of R
Prerequisite knowledge and skills
Evidence Based Practice
/..
Use of a statistical software
Basic knowledge of computing and biostatistics
Planned learning activities and teaching methods
Evidence Based Practice
6 hours of theory
Documentary techniques for physical and rehabilitative activities in motor sciences
This course is based on face-to-face sessions during which theoretical presentations, demonstrations and exercises will be offered.
Use of a statistical software
The course is taught using a PC
Mode of delivery (face to face, distance learning, hybrid learning)
Evidence Based Practice
Blended learning
Documentary techniques for physical and rehabilitative activities in motor sciences
Face-to-face course
Use of a statistical software
Face-to-face course
Additional information:
Classroom teaching
Recommended or required readings
Evidence Based Practice
Lecture notes will be available via myULiège.
Documentary techniques for physical and rehabilitative activities in motor sciences
Course notes and all relevant documents can be found on eCampus.
Use of a statistical software
Slides as well as databases used during the courses will be made available to the students.
Evidence Based Practice
Written exam
Documentary techniques for physical and rehabilitative activities in motor sciences
Exam(s) in session
Any session
- In-person
written exam
Additional information:
The course assessment (written exam) will take place according to the Faculty calendar. The assessment will evaluate the knowledge and skills covered during the course (see Learning Outcomes). In order to be eligible to sit the assessment, students will need to show their ULiège student card.
More information will be provided during the first class.
Use of a statistical software
None
Work placement(s)
Evidence Based Practice
/..
Organizational remarks
Evidence Based Practice
For the examination procedures, please refer to the official rules available on the University website.
Use of a statistical software
Students will have to bring their PC with the R-Rcmdr software duly installed
Contacts
Evidence Based Practice
Please, use only your ULiege email address (XXX@student.uliege.be) for any exchange of mails and specify in the subject line of your email the course code (METO1018-1) and your section (Motricity Sciences or Physiotherapy and Readaptation).
Professor Olivier Bruyère
Department of Public Health, Epidemiology, and Health Economics
CHU Sart Tilman, Bât.B23
4000 Liège
Tel. : +32 (0)4 366 25 81
Fax : +32 (0)4 366 28 12
Email : olivier.bruyere@uliege.be
Documentary techniques for physical and rehabilitative activities in motor sciences
Nancy Durieux
Université de Liège
Bât. B32 (local 2.36B) - Quartier Agora, Place des Orateurs 2, 4000 Liège
E-mail : Nancy.Durieux@uliege.be
Please use only your email address (XXX@student.uliege.be) for all email exchanges and specify the course title in the subject line, i.e. METO1018.
Use of a statistical software
* Anne-Françoise DONNEAU (Chargée de cours), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Tél: 04-366.47.90 Email: afdonneau@uliege.be
* Assistante :Justine MONSEUR, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.24.67 - Email:jmonseur@uliege.be