The faculty's strength lies in the strong practical focus of its teaching and research. All professors and lecturers have several years of professional experience in external university practice. With high-quality and modern equipment in line with current industry standards, the institutes of the faculty offer a practice-oriented learning and working environment for carrying out laboratory work, projects and theses. The fact that theses are carried out at or in collaboration with industrial companies contributes to the high level of practical relevance of the education.

The faculty's strength lies in the strong practical focus of its teaching and research. All professors and lecturers have several years of professional experience in external university practice. With high-quality and modern equipment in line with current industry standards, the institutes of the faculty offer a practice-oriented learning and working environment for carrying out laboratory work, projects and theses. The fact that theses are carried out at or in collaboration with industrial companies contributes to the high level of practical relevance of the education.

The faculty maintains a large number of collaborations and joint ventures with international universities to enable students to spend time abroad as part of their studies with minimal organisational effort. The following are possible: Study-integrated semesters abroad with recognition of study achievements earned abroad, practical semesters and the thesis semester

Students can use the extensive equipment of the institutes for laboratory work, theses and maker projects. In addition to several computer clusters, individual access to Matlab/Simulink (campus licence) and the highest quality metrology (oscilloscopes, network and spectral analysers and signal generators) that meets the current industry standard, the following are available: Electronics manufacturing technology with automatic assembly and reflow soldering, ultrasound and MRI equipment for R&D, software for IC and FPGA design, deep learning systems for AI, HF metrology

Current R&D projects include electronics development, organic electronics, layout and production of circuit boards, electronics for recording biosignals in medical technology, deep learning, AI, speech and image processing, imaging methods in medical technology, implementation of algorithms on graphics processors and FPGAs, construction of devices with microprocessor control and integrated signal processing, navigation systems for medical technology, real-time systems for automotive and medical technology, software architectures, web applications and techniques for data security.