Duration
30h Th, 15h Pr
Number of credits
| Bachelor in physics | 4 crédits |
Lecturer
Coordinator
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 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.
Contacts
C. Esser (Celine.Esser@uliege.be)
G. Haesbroeck (G.Haesbroeck@ulg.ac.be)
Assistant:
C. Baum (Carole.Baum@uliege.be)