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| Version 2013-2014 |
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| METO0730-1 | Principles of scientific investigation I (including epidemiology, informatics and information research)
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| Duration : | 15h Th, 10h Pr |
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| Number of credits : |
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| Lecturer : | Michèle Guillaume, Françoise Pasleau |
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Language(s) of instruction :
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| French language |
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Organisation and examination :
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| All year long |
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Course contents :
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Introduction to the statistica software program and statistical report writing.
The concepts covered during the course will be the following:
-The development of epidemiology
-Objectives and strategies of epidemiology
- Population – Population at risk – Sample -Representativeness.
-Biases
-Cases – Normality
- Indicators of health (prevalence-incidence...)
-The different types of prevention) primary-secondary-tertiary).
- Mass phenomenon (Epidemic-Pandemic-Endemic).
-Risk factors
- Reproducibility and validity (specificity-sensitivity-overall predictive value).
- Types of epidemiology (descriptive studies-analytical studies-case studies-witnesses-cohort studies-transversal studies-longitudinal studies-semi-longitudinal studies-retrospective studies-prospective studies).
- Phases of an epidemiological survey
- Documentary research
This part of the course deals with the general principles of scientific communication and information research:
-The formulation of a precise question in the context of a research project or from a problem encountered in a professional situation;
-The presentation of the electronic resources of the Life Sciences Library;
-Research using bibliographic data;
-Structure of a scientific article |
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Learning outcomes of the course :
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At the end of the course the student should be able to use the principal functionalities of Statistica
At the end of the course the students will be able to:
-define the different concepts presented;
-competently use the different concepts in oral or written expression;
-identify the different concepts during written or oral presentations;
-calculate health indicators, reproducibility and validity criteria.
By the end of the course the student will be capable of:
-transforming an information requirement into a clear and precise question (PICO);
-choose the research tools and types of documents best adapted to his or her needs;
-carry out simple or complex research in Medline/PubMed (taken as a model of a bibliographic database);
-practice targeted reading of scientific articles;
-adopt a critical approach to scientific articles;
-structure a scientific document by respecting the rules in force in the biomedical community. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| Basic knowledge of computing and biostatistics |
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Planned learning activities and teaching methods :
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The course is taught by computer.
Ex-cathedra theory course with application exercises.
Ex-cathedra theory courses with application exercises.
These courses are structured to accompany the student, step by step in the preparation of scientific documents such as the biostatistics report or the pre-memory. |
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Mode of delivery (face-to-face ; distance-learning) :
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| Classroom teaching
Face-to-face. |
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Recommended or required readings :
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The students will equip themselves with the guide “Introduction to the use of statistica” (Price 10 Euros)
There is no syllabus. A PowerPoint presentation on the subject will be available to students on the site “My Ulg”.
References will be given during the course.
For more info:
Elements of epidemiology. R. Beaglehole,R. Bonita, T. Kjellstrom. World Health Organization, Geneva, 1994.
Epidemiology: principles-techniques-applications. M.Jenicek, R. Cleroux. Edison, 1982.
There is no syllabus. The systems presented during the course, the exercises and all other useful documents will be available to the students on the MyUlg portal. |
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Assessment methods and criteria :
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Completion of individual work.
Written exam written in QCM format including theoretical ideas and exercises.
Written exam in QCM format on theoretical ideas and exercises. |
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Work placement(s) :
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| Not applicable |
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Organizational remarks :
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| Students will have to bring their PC with the Statistica software duly installed |
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Contacts :
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Pr Adelin ALBERT
Email: aalbert@ulg.ac.be
Anne-Françoise DONNEAU
Informatique médicale et Biostatistique
CHU Sart Tilman B23
4000 Liège
Phone : 04 366 47 90
Email: afdonneau@ulg.ac.be
Assistant to Professor Guillaume, B. Pétré
Phone : 04/366.25.05
Email : benoit.petre@ulg.ac.be
Bât. B23, Département des Sciences de la Santé publique
Tour de Pathologie - Niveau 0
CHU - Sart Tilman
Françoise PASLEAU
Email: f.pasleau@ulg.ac.be
Bibliothèque des Sciences de la Vie
CHU Sart Tilman B34
4000 Liège
Phone: 04 366 21 80 |
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