Modules (2018)

WS114 - Probability Theory and Statistics *(1st semester)*

Combinatorics and the principle of counting, sample spaces and events, the axioms of probability, conditional probability, Bayes' rule,
independence, discrete and continuous random variables, expected value and variance, a few important distributions.

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).