Technical University Berlin

This course covers the basics of programming with Python. The course uses Python to create some basic applications for Data Science use cases. The focus of this course is to learn how to program with Python. Hence, the course focuses the basics of the python programming language as well as ways to structure code or application repositories, debug implementations, and test the functionality of code and programs.

This course covers image representation in frequency domain, Fourier transform, sampling theorem, Filtering, Wiener Filter, image enhancement, edge detection, Hough transform, segmentation, interest operators, mathematical morphology, vectorization, texture, sceletonization, medical axis and distance transform, contour/line tracing and -smoothing, Gestalt psychology, and grouping.

The course covers the topic of renewable resources, including wind, sun, tides, and biomass as well as their significance for energy supply. At the beginning, the focus lies on the control of a photovoltaic plant. The modeling comprises irradiation and maximum-power-point-tracking. Furthermore, the modeling of wind energy conversion systems is considered. Other topics include battery application, fuel cells, and tidal energy. 

This class examines a major part of fluid mechanics: gas dynamics. It covers concepts such as combustion, compressible flows, normal and oblique shocks, and detonation. In addition, the course also focuses on applying the concepts of thermodynamics and fluid mechanics to propulsion systems such as a pulsejet and a rotating detonation combustor.