Overview of INIG
Many graduates will work on interesting challenges in research and development. As a result of the increasing specialization in all fields of knowledge and the rapidly increasing scope of knowledge these tasks are very challenging indeed. Dealing with such complex activities usually requires a highly interdisciplinary approach, which means that experts from completely different disciplines are involved in finding an adequate solution. Today, industrial engineers and mechanical engineers, chemists and construction engineers work closely together to develop tailor-made new products or technologies. The natural sciences often serve as a unifying element between the different areas of expertise.
Consequentially, we must ajust our education so that engineers are able to familiarize themselves with the various disciplines and, in particular, become quickly acquainted with any new aspects. Here, a good basic education in the natural sciences plays an important part; natural sciences also provide a suitable foundation for what is called “Lifelong Learning”. In this context it is worth mentioning that accreditation agencies such as the ASIIN (Accreditation Agency for Degree Programs in Engineering) recommend that engineering degree programs contain 20% basics in mathematics and natural sciences.
Thus the goal of INIG is clear: INIG supplies the various degree programs at Karlsruhe University of Applied Sciences HsKA with those required natural sciences and engineering principles. Strengthening these foundations is an important contribution to ensure a solid engineering expertise at our university.
INIG is a service and competence center for the HsKA faculties. Tailored to the needs of the individual engineering degree programs, INIG offers the practical foundations of physics and chemistry as well as special lectures (spin-offs from the natural sciences) such as optoelectronics and photonics. In addition, INIG disposes of numerous laboratory equipment for exploring scientific principles, technology (e.g. micro-structure technology), application (chemo- and bio-sensors) and networked systems (sensor-actuator networks).
The courses are didactically designed around the concept of the experimental lecture, often combined with laboratory work. The 3-stage method of knowledge processing - namely theory for knowledge transfer, experiment for clarification, and suitable laboratory work for understanding - has proven to be an excellent tool, and and forms the centre of our education philosophy.
Faculty for Electrical Engineering & Information Technology
Ms Sonja Maier
Mon-Thur 9 a.m.-1:30 p.m., 2:30-3:30 p.m.
Fri 9:30 a.m.-1:30 p.m.
and by appointment