Duration
25h Th, 20h Pr
Number of credits
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
The following topics will be raised
- Special functions and Dirac's delta distribution
- Linear filters and convolution
- Fourier transforms and applications
- Basics in probability and statistics
- Application to data reductions
Learning outcomes of the learning unit
Basics in signal processing and data reduction.
Prerequisite knowledge and skills
Basic knowledge in mathematical analysis, general physics, and crystalography
Planned learning activities and teaching methods
Data reductions of experimental signals on a computer. Statistical analysis of data on a computer. Exercices aiming to apply the concepts discussed in the theoretical course.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Further information:
Theoretical lectures ex-cathedra and practical sessions (computer processing and resolution of exercices).
Course materials and recommended or required readings
Platform(s) used for course materials:
- eCampus
Further information:
The course materials and resources for practical work will be available on the eCampus platform. Recommended readings will be indicated during the first class.
Exam(s) in session
Any session
- In-person
written exam ( open-ended questions )
Further information:
Exam(s) during the session - in person
Assessment combining a digital project and an oral examination.
Additional information
24 hours before the exam, students receive a digital problem to prepare.
The project must be submitted at a specified time.
The oral exam assesses the understanding of theoretical concepts and the ability to defend the project.
Work placement(s)
Organisational remarks and main changes to the course
The practical work may be carried out in Python or IGOR (at the student's choice), either on their own computer or on a provided PC. It is recommended to install the necessary software before the first practical session, in accordance with the instructions available on eCampus.
Contacts
Alejandro V. Silhanek
Département de Physique
Université de Liège
Bât. B5, R/53
Allée du 6 août, 19
B- 4000 Sart Tilman
BELGIUM
Tel : 04 366 36 32
Email: asilhanek@uliege.be
Daniel Stoffels (Daniel.Stoffels@uliege.be)