Duration
30h Th, 15h Pr
Number of credits
| Bachelor in physics | 4 crédits |
Lecturer
Amir Aboubacar, N...
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
This course develops the following themes:
- Descriptive statistics
- Probability calculus
- Random variables
- Point estimation and confidence intervals
- Hypothesis testing
Learning outcomes of the learning unit
At the end of the course, students will be able to calculate and interpret the usual statistical indicators. They will understand the basic concepts of probability. The students will student will understand the basic principles of the point estimation and interval estimation, and they will be able to apply the classical parametric tests (adjustment, orientation, dispersion, ...).
Prerequisite knowledge and skills
A good understanding of calculus is required.
Planned learning activities and teaching methods
Ex cathedra teaching and exercise sessions
Mode of delivery (face to face, distance learning, hybrid learning)
Organisational adjustments related to the current health context
Recommended or required readings
Course notes will be available on eCampus.
Bibliography
- Albert A., Biostatistique, Les Editions de l'Université de Liège, 2005
- Bevington P.R. and Robinson D.K., Data Reduction and Error Analysis for the Physical Sciences, Third edition, McGraw-Hill, 2003
- Casella, George, and Roger L. Berger. Statistical inference. Vol. 2. Pacific Grove, CA : Duxbury, 2002.
- Dehon, Catherine, Jean-Jacques Droesbeke, and Catherine Vermandele. Eléments de statistique : 5e edition revue et augmentée. 2008.
- Dehon, C., Probabilités et inférence statistique, Notes de cours de l'Université libre de Bruxelles, 2011
- Haesbroeck G., Probabilités et Statistique mathématique, Note de cours de l'Université de Liège, 2004
- Haesbroeck G., Statistique descriptive et notions de probabilité, Notes de cours de l'Université de Liège, 2013
- Paindaveine, D., Introduction aux probabilités, Notes de cours de l'Université libre de Bruxelles, 2018
- Ruwet, C., Statistique des données expérimentales de la physique, Notes de cours de l'Université de Liège, 2013
Assessment methods and criteria
Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.
an exam organised in January
Work placement(s)
Organizational remarks
Contacts
Amir Aboubacar, a.aboubacar@ulg.ac.be