Duration
20h Th
Number of credits
| Doctoral training in sciences (BMCB) | 3 crédits |
Lecturer
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
In this course, we will review the basics of probability theory and statistical inference, using a mathematical background that will be as accessible as possible.
This course is a prerequisite for the courses of multivariate statistics, linear models and time series analysis for students who would not have had courses on these topics before.
Learning outcomes of the learning unit
At the end of this lecture series, the students should know the mathematical prequisites to follow advanced courses of statistics. The should also be able to solve a few problems in statistics or probability.
Prerequisite knowledge and skills
This course is intended for PHD students of the faculty of sciences.
Planned learning activities and teaching methods
After explaining each concept, we will illustrate by examples and exercises will be assigned to the students.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face. A schedule will be established in due time.
The best would be to have the lectures before the other lectures in statistics.
Recommended or required readings
The evaluation process, if any, will be discussed with the students.
Work placement(s)
Organizational remarks
Contacts
Amir Aboubacar
a.aboubacar@uliege.be