Duration
20h Th, 20h Mon. WS
Number of credits
| Master in mathematics (120 ECTS) (Odd years, organized in 2023-2024) | 4 crédits | |||
| Master in mathematics (60 ECTS) (Odd years, organized in 2023-2024) | 4 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
This course aims at providing students with some tools for working on applied statistical problems, acting as a consultant for a non-statistician client.
The course includes
- the role and the posture of the consultant ;
- good scientific practices and critical thinking ;
- the appropriate use of statistics ;
- softwares ;
- the efficient communication of statistical methods and results ;
- project management.
Learning outcomes of the learning unit
The course discusses the role of the statistician consultant involved in data analysis projects and introduces some usefull tools in this context.
At the end of the course, the student will be able to write a correct statistical report and communicate results with non-statisticians.
Prerequisite knowledge and skills
The course mainly concerns students from the Master in Mathematics who are interested in statistics.
Good knowledge in different fields of statistics is mandatory as a consultant is the statistical expert in projects. Therefore, courses of statistics from the Master in Mathematics are co-requisites.
A good knowledge and easy use of R and/or SAS statistical software is necessary. A self-study before the course may be required otherwise.
Planned learning activities and teaching methods
The course consists in a series of lectures where an active participation of the students is expected. Case studies will be proposed and group work may be requested. A final project will be proposed to the students.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Recommended or required readings
Required material will be provided via eCampus.
Exam(s) in session
Any session
- In-person
oral exam
- Remote
oral exam
Written work / report
Continuous assessment
Additional information:
The final score is a weighted average based on the results obtained in the following tests:
- personal or group work during the term
- report writing
- oral presentation of the project
Work placement(s)
Organisational remarks and main changes to the course
The course is organised only on odd years: course in 2023-2024 (2025-2026 will be the next session).
Contacts
Marie Ernst
University Hospital of Liège, Biostatistics and Medico-economic Information Department (SIMÉ), Biostatistics and Research Method Center (B-STAT).
University of Liège, Department de Mathematics.
Mail : m.ernst@chuliege.be