Modules (2016)

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

Combinatorics and permutations, sample spaces and events, random selection, conditional probability, Bayes' rule,
stochastic independence, discrete random variables, expected value and variance, some important discrete 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, singular value decomposition, homogeneous coordinates, projective transformations, camera models,
camera calibration, the camera matrix, the fundamental matrix, 3D reconstruction from stereo image pairs.