
Electrical engineering, being the basis of modern
information technologies, plays a key role in CUT s
transition to the age of communication and information.
The Faculty of Electrical Engineering and
Information Technology is equipped with the most
up-to-date research facilities, and offers students
state-of-the-art equipment for their studies.
Industry has a demand for graduates who are highly
proficient not only in engineering subjects, but
also in business and languages, among other skills.
Interdisciplinary programmes allow such combinations,
thus giving students the best opportunities to
gain highly competitive degree qualifications.
The latest CHE university ranking placed the Faculty
of Electrical Engineering and Information Technology
at CUT among the best in Germany, largely
due to its modern facilities and excellent teaching
conditions. The faculty has a large number of national
and international partners, in both industrial
and educational areas, creating various opportunities
for exchange programmes and placement. In
1998, CUT was chosen as host for the German Association
of Electromechanical Departments (DFTE),
honouring its outstanding work in teaching and research.
The highlight of the Faculty of Electrical Engineering
and Information Technology is the Centre for
Microtechnologies (ZfM), a special research centre
at CUT. The centre is active in the fields of advanced
technologies for microelectronics, microsystems
and silicon micromachining as well as nanotechnologies.
| Address: | Technische Universität Chemnitz Fakultät für Elektrotechnik und Informationstechnik 09107 Chemnitz |
| Location | Reichenhainer Str. 70 Adolf-Ferdinand-Weinholdbau 2. Stock 09126 Chemnitz |
| Phone: | +49-371 5 31 24000 |
| Fax: | +49-371 5 31 24009 |
| E-Mail: | dekanat@etit.tu-chemnitz.de |
- Microsystem technologies / mechatronics: design, technology, test and applications
- Microelectronics: metallization technologies and microelectronic applications
- Sensors, actuators, measurement and numerical field-computation
- Methods and materials for the nanometer scale
- Image processing, opto-communication and signal encoding
- Communication technology
- Design of devices, circuits and systems
- Electrical energy- and drive-systems
- Adaptive, predictive and fuzzy control
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