Duration
15h Th, 15h Pr, 5h Proj.
Number of credits
| Bachelor of Science (BSc) in Computer Science | 5 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
Basic notions of probability theory: Events and probabilities, combinatorics, conditional probability and independence, discrete random variables, continuous random variables, jointly distributed random variables, limit theorems
Learning outcomes of the learning unit
The student will be able to recognize and solve elementary probabilistic problems.
Prerequisite knowledge and skills
Elementary algebra, elementary calculus.
Planned learning activities and teaching methods
Theoretical lectures and supervised problem solving sessions.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face.
Recommended or required readings
The slides and notes of the lectures are available on eCampus.
List of the main reference:
- Sheldon Ross, A first course in Probability, 8th Edition, Pearson Prentice Hall, 2010.
- Michael Baron, Probability and Statistics for computer scientists, 3rd Edition, CRC Press, 2019.
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions )
Other : Project
Additional information:
The final grade will be obtained after a written exam concerning both theory and exercises.
Work placement(s)
None.
Organizational remarks
See eCampus
Contacts
Céline Esser
Email : Celine.Esser@uliege.be
Département de Mathématique,
Allée de la Découverte, 12
4000 Liège Belgium
B37, Office 1/75