Duration
30h Th, 10h Pr, 20h Mon. WS
Number of credits
| Master in mathematics (120 ECTS) | 10 crédits | |||
| Master in mathematics (60 ECTS) | 10 crédits |
Lecturer
Céline Esser, Gentiane Haesbroeck, Laurent Loosveldt, Arnout Van Messem
Coordinator
Language(s) of instruction
English language
Organisation and examination
All year long, with partial in January
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The content of the course depends on the topic (statistics or probability) and on the current activities of the research units.
Learning outcomes of the learning unit
After the course, the student should have acquired some research skills, as getting the most important messages out of seminars, finding appropriate references for a specific research question, summarizing a scientific paper, producing some outputs (either a paper or a seminar presentation)...
Prerequisite knowledge and skills
It is assumed that the student has a really good background in statistics and/or probability.
Planned learning activities and teaching methods
The activities will be coordinated by the supervisor of the student. These may take the following forms:
- Attendance to internal or external seminars;
- Participation to "reading groups" on a specific research paper or a given reference book;
- Additional developments in the master thesis
- ...
Mode of delivery (face to face, distance learning, hybrid learning)
This course requires an active participation of the student. He/she will be expected to work on his/her own and to present the results of his/her research to the promotor, as well as to other members of the research unit if suitable.
Recommended or required readings
The recommended reading (scientific papers or books, mostly in English) will be specified by the supervisor.
Any session :
- In-person
oral exam
- Remote
oral exam
- If evaluation in "hybrid"
preferred in-person
Additional information:
The final grade will take into account the overall work made by the student during the year. A final presentation (on a topic that will be specified beforehand) will also enter into the grade.
Work placement(s)
Organisational remarks and main changes to the course
The course is aimed as an individual tutoring for students who are thinking of starting a PhD in statistics or probability with one of the professors who are in charge of the course. In order to get access to the course, the student needs to have the approval of one of the professors.
Contacts
Céline ESSER (Celine.esser@uliege.be)
Gentiane HAESBROECK (G.Haesbroeck@uliege.be)
Laurent LOOSVELDT (L.Loosveldt@uliege.be)
Arnout VAN MESSEM (Arnout.VanMessem@uliege.be)