| PHYS0968-1 | ||||||||
| Mathematics of data reduction | ||||||||
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Duration :
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| 25h Th, 20h Pr | ||||||||
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Number of credits :
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Lecturer :
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| Alejandro Silhanek | ||||||||
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Language(s) of instruction :
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| French language | ||||||||
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Organisation and examination :
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| Teaching in the second semester | ||||||||
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Units courses prerequisite and corequisite :
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| Prerequisite or corequisite units are presented within each program | ||||||||
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Course contents :
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| 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 |
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Learning outcomes of the course :
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| Basics in signal processing and data reduction. | ||||||||
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Prerequisite knowledge and skills :
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| Basic knowledge in mathematical analysis. | ||||||||
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Planned learning activities and teaching methods :
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| 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. | ||||||||
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Mode of delivery (face-to-face ; distance-learning) :
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| Integrated course with practical exercices. | ||||||||
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Recommended or required readings :
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| Delivered at the start of the course. | ||||||||
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Assessment methods and criteria :
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| Written and practical exam. | ||||||||
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Work placement(s) :
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Organizational remarks :
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Contacts :
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| 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 |
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Items online :
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![]() | Slides Pdf files |
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