2023-2024 / STAT0064-3

Statistics of experimental data in physics


30h Th, 15h Pr

Number of credits

 Bachelor in physics4 crédits 


Céline Esser, Gentiane Haesbroeck


Céline Esser

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January


Schedule online

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 and random vectors

- Inferential statistics and curve fitting

The learning of a statisitcal software is also a part of the course.

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)

Face-to-face course

Recommended or required readings

See eCampus. 

Exam(s) in session

Any session

- In-person

written exam ( open-ended questions )

Additional information:

an exam organised in January

Work placement(s)

Organisational remarks and main changes to the course

The course is taught during the first semester according to the schedule available on Celcat.


C. Esser (Celine.Esser@uliege.be)

G. Haesbroeck (G.Haesbroeck@ulg.ac.be)



C. Baum (Carole.Baum@uliege.be)

Association of one or more MOOCs