Duration
30h Th, 6h Pr
Number of credits
Lecturer
Substitute(s)
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
- Randomness and probability.
- Properties of probability, conditional probability and independence.
- Random variables and usual probability distributions.
- Population, sample and random sampling.
- Properties of random sampling.
- Point estimation and confidence intervals.
- Hypothesis testing.
Learning outcomes of the learning unit
To familiarize students with basic concepts and methods of probability theory and statistical inference
Prerequisite knowledge and skills
- Basic descriptive statistics (frequency distribution, mean, variance, etc.)
Planned learning activities and teaching methods
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Additional information:
Summary presentations and resolution of exercises prepared in advance by the students
Recommended or required readings
- Lejeune B., Introduction aux probabilités et à l'inférence statistique, lecture notes (in french)
Exam(s) in session
Any session
- In-person
written exam
- Remote
written exam
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Professor :
B. LEJEUNE, building N3a, office 1/10