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| PHYS0968-1 | Mathematics of data reduction.
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| Duration : | 25h Th, 20h Pr |
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| Number of credits : |
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| Lecturer : | Alejandro Silhanek, Matthieu Verstraete |
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Language(s) of instruction :
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| French language |
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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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Prerequisites and co-requisites/ Recommended optional programme components :
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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. |
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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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| 1st session: oral and practical exam. Report to be given.
2nd session: written and practical exam. |
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| Items online : |
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