With more than 100 admissions granted for the Master’s programme Smart Energy Systems at the Campus Feuchtwangen of the Ansbach University of Applied Sciences, programme director Prof. Johannes Jungwirth looks forward to the coming October and says: “Nobody had expected such a rush, but I am very much looking forward to this challenge!”
In addition to Prof. Jungwirth himself, other professors and staff of the university are involved in the various modules, comparable to the subjects taught in schools.
As the long-time deputy head of the degree programme and subject advisor for Energy Management and Energy Technology, Prof. Georg Rosenbauer takes over Energy Systems and Energy Economy. Here students learn the basics of our energy landscape.
Christoph Matschi, research assistant at Campus Feuchtwangen, introduces the Simulation of decentralised Energy Systems, important for the students to develop a feeling for the interactions between the participants on the energy market.
In Internet of Things (IoT) Technologies and Data Interfaces, Prof. Jungwirth deals with how digitally networked, intelligent systems are created through sensor technology and internet connection. He also teaches LabVIEW Programming, an easy-to-learn graphical programming language.
Finally, Prof. Sigurd Schacht, head of the Applied Artificial Intelligence and Digital Transformation (KDT) programme and coordinator at the Centre for Applied AI and Transfer (AN_KIT), teaches students the basics of Artificial Intelligence. The main focus is on computer-based problem solving and analysis.
In addition to these compulsory modules in the first semester, students can choose from three elective modules at the Campus Feuchtwangen. Laboratory engineer Oliver Abel, representing the Bavarian Drone Academy, offers the Drone Basics module. He will cover the basics of unmanned aeronautics as well as its applications in the context of energy systems, supplemented by practical exercises.
With two lecturers for German I and English I the offer is sensibly rounded off.
In the second semester, the knowledge already acquired is deepened or applied in each module, before the Master’s Thesis and the associated Master Seminar Scientific Work follow in the third semester and conclude the programme.