Scientists use graphical programming as an easy means to model systems and quickly explore a wide range of possible solutions to a particular problem – without the need to write code.
In this hands-on workshop we will
- learn the basics of graphical programming with Simulink
- derive a simple model to read, filter and analyze time series data
- apply Simulink to detect simple objects in images
- implement a hydrological model in Simulink
About the Presenters
Dr.-Ing. Stefan Kerber is in the Academia Group at MathWorks in Munich/Germany. He partners with Universities in eastern Germany to accelerate their discovery and learning. Stefan holds a doctoral degree in Electrical Engineering from Technical University of Munich. During his career he has used MATLAB in various ways to setup experiments on sound reproduction and study human hearing for normal and hearing-impaired listeners.
Dr.-Ing. Sebastian Groß has been a member of the Academia Group at MathWorks Munich (Germany) for seven years. He leads the team engaging with universities in Germany and Austria. Before joining MathWorks, Sebastian pursued a doctorate in biomedical image processing and computer vision at RWTH Aachen University where he used MATLAB, image processing and machine learning techniques to identify malignant, cancerous polyp tissue during endoscopic procedures.