Modules  (2019)

TW364 - Applied Fourier Analysis  (2nd semester)
Fourier series, continuous and discrete Fourier transforms, convolution, Laplace transform, Sturm-Liouville theory, orthogonal functions; applications in signal and image processing, as well as in the solution of ordinary and partial differential equations; numerical Fourier analysis and the FFT.

RW364/TW792 - Computer Vision  (2nd semester)
Image interpolation, feature detection and matching, projective geometry, projective transformations, camera models, camera calibration, stereo vision, image segmentation, image classification: classical (bag-of-words, SVM, etc.) and more modern approaches (convolutional neural nets).

Modules taught in previous years

2016WS114 - Probability Theory and Statistics
TW364 - Applied Fourier Analysis
RW364/TW792 - Computer Vision

2017TW364 - Applied Fourier Analysis
RW364/TW792 - Computer Vision

2016WS114 - Probability Theory and Statistics
TW364 - Applied Fourier Analysis
RW364/TW792 - Computer Vision

2015WS114 - Probability Theory and Statistics
TW244 - Applied Differential Equations
RW364/TW792 - Computer Vision

2014WS114 - Probability Theory and Statistics
TW244 - Applied Differential Equations

2013WS114 - Probability Theory and Statistics
TW244 - Applied Differential Equations
RW364/TW792 - Computer Vision

2012WS114 - Probability Theory and Statistics
TW244 - Applied Differential Equations
RW364/TW792 - Computer Vision

2011TW324 - Numerical Methods
TW244 - Applied Differential Equations
RW364/TW792 - Computer Vision

2010TW324 - Numerical Methods
NM262 - Applied Numerical Methods for Engineers
TW244 - Applied Differential Equations
TW792 - Digital Image Processing

2009TW324 - Numerical Methods
NM262 - Applied Numerical Methods for Engineers
TW792 - Digital Image Processing