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@@ -29,7 +29,3 @@ Module 4: Data Analysis and Processing
- 4.5. Data Cleaning (linear regression, least square fitting, extrapolation, moving average) -> One Lecture
- 4.6. Data Filtering & Signal Processing (filters: Gaussian Filter, Sobel edge detection, Kalman, Butterworth, FFT) -> We need to give a lecture of what is/how it works Digital filter design (lowpass, highpass, bandpass, filter response curves, how does one select a given filter). One lecture all theory so that in the second lecture they learn how to select different filters. -> Two lectures
- 4.7 Image processing: apply some of the filtering to make images sharper/crispier, teach them how to make videos/gifs out of images. -> One Lecture. Possible application: **_from CFD density data obtain Synthetic Schlieren images (Ciprian will send you this!)_**
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-![[20251013_103651.jpg]] \ No newline at end of file