2017-2018 / MATH0495-1

Elements of probability calculus


15h Th, 15h Pr, 5h Proj.

Number of credits

 Bachelor in computer science3 crédits 
 Master in data science (120 ECTS)3 crédits 
 Master of science in computer science and engineering (120 ECTS)3 crédits 


Pascal Gribomont

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

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)

Face-to-face. Tuesday at 8:15, R21.

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

Programming project. Written examination in January.

Work placement(s)


Organizational remarks



Pascal Gribomont  gribomont@montefiore.ulg.ac.be Isabelle Mainz  isabelle.mainz@ulg.ac.be