First Water Test with CASSy

On Thursday, August 29th, we tested CASSy the first time in real water. With the help of our collegues from the Bundeswehr (special thanks to Dr. Jan Abshagen and Dr. Arne Stoltenberg) we were able to put CASSy into the Baltic sea. After fixing some engine problems, we had your first "cruise" - a short trip from Kiel to Mönkeberg and back. Everything worked fine. Now, we feel confident to go on and put some "science" on CASSy for the next cruise. If you are interested you can find some more details on CASSY (and MISSy) here.

Student Projects - Overview

The DSS team offers student projects. With these projects we try to support the idea of project-based learning. This means that most of our projects are designed such, that a multitude of studends can work on that project. Beside solving the individual task, studends should also learn how to split the problem into smaller subproblems and to organize the resulting subprojects. Software packages such as SVN, etc. should support this idea.

Past and ongoing student projects:

Usually, these projects are announced in the lecture "Signals and Systems". However, if you are interested in such projects and do not participate in this lecture, please contact Prof. Schmidt for further details.

In addition, we participate in support programs for women in science. If you are interested in doing a research-based project, please contact us. However, please be aware that such programms are not always active and usually support women in their master study period.

Past and ongoing woman support projects:

Contact

Prof. Dr.-Ing. Gerhard Schmidt

E-Mail: gus@tf.uni-kiel.de

Christian-Albrechts-Universität zu Kiel
Faculty of Engineering
Institute for Electrical Engineering and Information Engineering
Digital Signal Processing and System Theory

Kaiserstr. 2
24143 Kiel, Germany

How to find us

Recent News

TensorFlow and Escape Rooms

The last two days (Monday and Tuesday, September 16 and 17, 2019), the whole DSS team did a course on TensorFlow and Keras. Since we already have interfaces of TensorFlow to our real-time tool KiRAT, it was time now to extend our knowledge on graphs and the corresponding training of weights, biases, etc. After two days of hard work we booked two escape rooms and solved the "secrets" hidden in ...


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