Duration
18h Th, 18h Pr
Number of credits
| Bachelor in bioengineering | 3 crédits |
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
Descriptive statistics
- univariate
- bivariate and multivariate
Probability and probability distributions
- probability and random variables
- important univariate and bivariate distributions
Learning outcomes of the learning unit
To learn the elements of descriptive statistics and the principles of the statistical methods. After completing the course the student is expected to - summarize data by means of tables, graphs and numerical measures, - calculate probabilities of events, - make correct use of the commonly used probability distributions.
Prerequisite knowledge and skills
Prerequisites MATH0493-1 Mathématique générale 2 MATH0494-1 Mathématique générale 1
Planned learning activities and teaching methods
Lectures Exercises Tutorial
Mode of delivery (face-to-face ; distance-learning)
Face-to-face
Recommended or required readings
- Syllabus and tutorial.
- Reference book : DAGNELIE P. [2007]. Statistique théorique et appliquée. Tome 1: statistique descriptive et bases de l'inférence statistique. Bruxelles, De Boeck, 511 p.
Assessment methods and criteria
Written examination (100%)
Work placement(s)
Organizational remarks
Lectures : 18 h
Practical works : 18 h
Participation in all organized learning activities is mandatory
Contacts
Brostaux, Yves (Senior lecturer) Education and research 081 62 24 69 y.brostaux@ulg.ac.be(Rodolphe.Palm@ulg.ac.be)(Rodolphe.Palm@ulg.ac.be)
Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session
Teaching methods implemented : distance-learning
Assessment subjects
Assessment methods
Contacts
Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session
Assessment subjects
xxx
Assessment methods
xxx