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.

Modules taught in previous years

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