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).

Modules taught in previous years

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