For more practice in engineering studies
Engineering students are given the opportunity with "practicING" to expand their studies with additional practice-oriented courses. The courses are interdisciplinary and show possible interfaces of your studies with other disciplines. If there is sufficient capacity, the courses are of course also open to interested students from other disciplines.
You can choose from the following topics:
Additive Manufacturing - more than just 3D printing Faculty of Mechanical Engineering | Department of Manufacturing Engineering | Franziska Petzoldt Design of a Mini Robot Controller - Autonomous Miniature Transporter Faculty of Electrical Engineering and Information Technology | Teaching Group Fundamentals of Electrical Engineering | M. Sc. Thomas Reum Faculty of Computer Science and Automation | Department of Integrated Communication Systems | Dr. Karsten Henke
Construction of a counting circuit with binary decimal output on a breadboard Faculty of Electrical Engineering and Information Technology | Teaching Group Fundamentals of Electrical Engineering | M. Sc. Thomas ReumHigh-tech bicycle computer Faculty of Computer Science and Automation | Computer Science for Engineers Group | Dr. Detlef Streitferdt Understanding Technical Drawing - Model Recording of Technical Assemblies Faculty of Mechanical Engineering | Department of Machine Elements | Dr. Veronika Geinitz Smart Home Model House Faculty of Computer Science and Automation | Computer Science for Engineers Group | Dr. Detlef Streitferdt | Department of Integrated Communication Systems | Dr. Karsten Henke Tensile Test - Recording Mechanical Characteristics of Materials Faculty of Mechanical Engineering | Department of Machine Elements | Dr. Steffen Lutz
Construction of a wind turbine model with digital twin Faculty of Mechanical Engineering| Department of Product and System Development | Prof. Dr. Stephan Husung
Cross-Lab Experiments: Projects for the development of experimental environments (ball drop experiment | model railroad | sensor node network | take home lab) Faculty of Computer Science and Automation | Computer Science for Engineers teaching group | Dr. Detlef Streitferdt