University of Liege | Version française
Study programmes 2008-2009Last update : 29/06/2009
STAT0203-1  General statistics and data processing
Duration :  30h Th, 30h Pr
Credits/ECTS :  
Bachelor in biological sciences, 3rd yearPremier quadrimestre6
Bachelor in geographical sciences, general orientation, 2nd yearPremier quadrimestre6
One-year preliminary programme leading to the Master in Bioinformatics and ModellingPremier quadrimestre6
One-year preliminary programme leading to the Master in Biological SciencesPremier quadrimestre6
One-year preliminary programme leading to the Master in Biochemistry, Cell and Molecule biologyToute l'année6
One-year preliminary programme leading to the Master in Biology of Organism and EcologyPremier quadrimestre6
One-year preliminary programme leading to the Master in Sciences and Management of EnvironmentPremier quadrimestre6
One-year preliminary programme leading to the Master in Geographical Sciences, Climatology orientation6
Holder(s) :  Adelin Albert
Language :  Langue française
Course contents :  This course is subdivided in two parts of 30 hours each.

In the first part, we start by giving an introduction to descriptive statistical methods which permit to summarize a data set either graphically or numerically. Then we turn to inferential statistics, the basis of scientific reasoning, which consist in making conclusions on a population from a random sample drawn from it. The student will learn about classical statistical tests and the use of statistical tables (random numbers, Normal, Student t, Snedecor F and chi-squared distributions).

The second part of the course tackles more advanced statistical methods, like regression, one-way and two-way analysis of variance, contingency tables and non-parametric techniques.

Each course consists of a theoretical lecture followed by a practical session, where the student will be trained in the treatment of data applications encountered in practice.
Course objective :  The course is intended to get students familiar with statistical problems and data analysis. Emphasis is placed on the scientific reasoning rather than on the mathematical aspects of statistics or the formula to use. Students should have a sufficiently solid knowledge in statistics for the years ahead, and in particular for the thesis they have to write at the end of their curriculum.
Prerequisites :  The mathematical training received in BAC1 is sufficient to take the course. As already mentioned, emphasis is placed the potential of statistical methods in experimental design and scientific research.
Workshops :  The practical sessions start right on the first day. They take place in the same auditorium from 16:30 to 18:00. Exercises can be finished at home if necessary. They will end on 20 December 2007.
Organization :  The course starts on Thursday 18 September 2008 at 14:00 in the auditorium 01 at the Mathematic Institute (Bldg B37, Pkg P32). In general, the theoretical lecture lasts until 16:30 with a 10-15 min break. The course is taught at the blackboard and slides will illustrate the methods presented. The last lecture will be held on Thursday 18 December 2008.
Written notes :  Students will have to buy the lecture notes "Biostatistics, A. Albert, edition 2008" at Point de Vue near the large lecture halls at the price of 15 EUR. This book contains the course material as well as the main statistical tables. It will be used during exercise sessions and at the final examination. Finally, it can be used as a reference book in biostatistics in subsequent years.

Textbook
- Introduction to Statistical Analysis. W.J. Dixon et F.J. Massey. McGraw Hill, 1983
Assessment :  A written exam will take place in January. It lasts for about 4 hours. Any score of 10 or more will be considered as a success. All exams are written exams and students can used their lectures notes or any other documents. Exams are scored 0-20.

Exercises will be evaluated regularly to assess the student's level in statistics.
Contacts :  Lecturer
Adelin ALBERT (Professeur ordinaire), Département des Sciences de la Santé Publique (DSSP)- Informatique Médicale et Biostatistique, CHU Sart Tilman (B35), 4000 Liège.
Tél: 04-366.25.91/90 - Fax: 04-366.25.96
Email: aalbert@ulg.ac.be

Secretary
Mrs Anna MARCHETTA, Département des Sciences de la Santé Publique (DSSP)- Informatique Médicale et Biostatistique (IMBS), CHU Sart Tilman (B35), 4000 Liège.
Tél: 04-366.25.90 - Fax: 04-366.25.96
Email: imbs@ulg.ac.be

Assistants
Laetitia COMTE (coordination)
Tél: 04-366.94.60 - Email: L.Comte@ulg.ac.be
Anne-Françoise DONNEAU
Tél: 04-366.47.90 - Email: afdonneau@ulg.ac.be
David MAGIS
Tél: 04-366.94.24 - Email: David.Magis@ulg.ac.be
Sophie VANBELLE
Tél: 04-366.47.90 - Email: Sophie.Vanbelle@ulg.ac.be


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