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).