Duration
Presentation of research topics : 15h SEM
Evidence Based Practice : 6h SEM
Documentary techniques in physical and rehabilitative activities : 5h AUTR
Statistical software usage : 4h SEM
Learning techniques : 5h Th
Number of credits
| Master in motor skills : general (120 ECTS) | 2 crédits | |||
| Master in motor skills : physical education (120 ECTS) | 2 crédits |
Lecturer
Presentation of research topics : Collégialité
Evidence Based Practice : Olivier Bruyère
Documentary techniques in physical and rehabilitative activities : Frédéric De Lemos Esteves
Statistical software usage : Anne-Françoise Donneau
Learning techniques :
Coordinator
Language(s) of instruction
French language
Organisation and examination
Teaching in the first semester, review in January
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 in physical and rehabilitative activities
The course aims to provide students with know-how necessary for their thesis but also for the long term, as part of lifelong learning. The theoretical and technical notions dealt with will relate to the principles and methods of scientific communication, document searches and information management.
Statistical software usage
Introduction to the statistical package R - Rcmdr
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 in physical and rehabilitative activities
By the end of this course, you should be able to: 1. Ask precise questions and extract the various concepts from them (PICO); 2. Use controlled vocabulary to construct efficient query syntax; 3. Use the search tools and documents best adapted to your needs, especially bibliographical databases such as Medline and SPORTDiscus; 4. Use ULg's library collections; 5. Select studies according to their level of evidence; 6. Practise targeted, fast and efficient reading, by making use of the standard structure of scientific articles; 7. Write in accordance with the basic rules that control the format of scientific publications; 8. Use a bibliographic software management program such as Mendeley.
Statistical software usage
At the end of the course, the student should be able to use the main functions of R
Prerequisite knowledge and skills
Documentary techniques in physical and rehabilitative activities
Prerequisites relate to basic knowledge of how to use a computer.
Statistical software usage
Basic knowledge of computing and biostatistics
Planned learning activities and teaching methods
Evidence Based Practice
6 hours of theory
Documentary techniques in physical and rehabilitative activities
Four classes (4 x 1.30 hrs) where students are invited to participate by giving their opinion on how to solve document search exercises and critical reading. One of the sessions is dedicated to the creation of personal bibliographies using a bibliographic software management program.
Statistical software usage
The course is taught using a PC
Mode of delivery (face-to-face ; distance-learning)
Evidence Based Practice
Face-to-face
Documentary techniques in physical and rehabilitative activities
Face-to-face
Statistical software usage
Classroom teaching
Recommended or required readings
Evidence Based Practice
Lecture notes will be available via "my ULg".
Documentary techniques in physical and rehabilitative activities
The slides presented in class will be available on myULg (https://my.ulg.ac.be/MyULg) and/or eCampus (https://www.ecampus.ulg.ac.be).
Statistical software usage
Slides as well as databases used during the courses will be made available to the students.
Assessment methods and criteria
Evidence Based Practice
Assessment will be specified during the first course
Documentary techniques in physical and rehabilitative activities
Exam will be MCQ.
Statistical software usage
None
Work placement(s)
Documentary techniques in physical and rehabilitative activities
Not applicable
Organizational remarks
Evidence Based Practice
For the examination procedures, please refer to the official rules available on the University website.
Documentary techniques in physical and rehabilitative activities
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Statistical software usage
Students will have to bring their PC with the R-Rcmdr software duly installed
Contacts
Evidence Based Practice
Please, use only your ULg email address (XXX@student.ulg.ac.be) for any exchange of mails and specify in the subject line of your email the course code (EDPH0654).
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@ulg.ac.be
Documentary techniques in physical and rehabilitative activities
Teacher:
Doctor Frédéric de Lemos Esteves
Assistant Lecturer
Email: fdelemosesteves@uliege.be
Statistical software usage
* Anne-Françoise DONNEAU (Chargée de cours), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Tél: 04-366.47.90 Email: afdonneau@ulg.ac.be
* Assistante : Nadia DARDENNE, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.33.40 - Email:ndardenne@ulg.ac.be
* Secrétariat : Anna MARCHETTA, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.25.90 - Email:bstat@ulg.ac.be