Study Programmes 2016-2017
| PHYS0968-1 | |||||||||||
| Signal processing | |||||||||||
|
Duration :
|
|||||||||||
| 25h Th, 20h Pr | |||||||||||
|
Number of credits :
|
|||||||||||
|
|||||||||||
|
Lecturer :
|
|||||||||||
| Alejandro Silhanek | |||||||||||
|
Language(s) of instruction :
|
|||||||||||
| French language | |||||||||||
|
Organisation and examination :
|
|||||||||||
| Teaching in the second semester | |||||||||||
|
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 - 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) :
|
|||||||||||
| Integrated course with practical exercices. | |||||||||||
|
Recommended or required readings :
|
|||||||||||
| Delivered at the start of the course. | |||||||||||
|
Assessment methods and criteria :
|
|||||||||||
| Written and practical exam. | |||||||||||
|
Work placement(s) :
|
|||||||||||
|
Organizational remarks :
|
|||||||||||
|
Contacts :
|
|||||||||||
| Alejandro V. Silhanek
Département de Physique Université de Liège Bât. B5, R/51 Allée du 6 août, 17 B- 4000 Sart Tilman BELGIUM Tel : 04 366 36 32 Email: asilhanek@ulg.ac.be |
|||||||||||