Duration
15h Th, 15h Pr, 5h Proj.
Number of credits
| Bachelor of Science (BSc) in Computer Science | 3 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: combinatorics, discrete random variables, continuous random variables (basics), probability laws, limit theorems.
Learning outcomes of the learning unit
The student will be able to recognize elementary probabilistic problems and the corresponding discrete random variables. He will solve these problems and write the necessary computer programs.
Prerequisite knowledge and skills
Elementary computer programming.
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.
Organisational adjustments related to the current health context
Recommended or required readings
A First Course in Probability, by Sheldon Ross, 8th or 9th edition.
See also http://www.montefiore.ulg.ac.be/~gribomon/cours/cours.html
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.
Programming project. Written examination in January.
Work placement(s)
None.
Organizational remarks
http://www.montefiore.ulg.ac.be/%7Egribomon/cours/cours.html
Contacts
Pascal Gribomont gribomont@montefiore.ulg.ac.be
Emeline Maréchal emeline.marechal@uliege.be