Computer Science, Department
Fakultät IV: Naturwissenschaftlich-Technische Fakultät
Universität Siegen
Fakultät IV: Naturwissenschaftlich-Technische Fakultät
Departement Elektrotechnik und Informatik
Hölderlinstraße 3
D-57068 Siegen
https://www.uni-siegen.de
Uni Siegen
Department on the internet
Departement Elektrotechnik und Informatik
Hölderlinstraße 3
D-57068 Siegen
https://www.uni-siegen.de
Uni Siegen
Department on the internet
Map material from the free geographic information system OpenStreetMap. The DAAD explicitly does not adopt the information provided there (names, boundaries, etc.) in every case. No guarantee is given for the accuracy of this information.
Legend:
- Department
Basic information
- Total number of students at the department
770
- Number of master degree students (w/o teacher qualification)
180
- Percentage of teaching by practitioners
no data
- Percentage of teaching by practitioners, master's
no data
Cooperative Education
- Students in cooperative education
10
Support during the study entry phase
- Total score for support in the study entry phase
12/16 points
Job market- and career-orientation
- Bachelor theses in cooperation with work environment
no data
- Master theses in cooperation with work environment
no data
Research
- Publications per academic
no data
- Third party funds per academic
65,700 €
- Doctorates per professor
1.1
Students' assessments on undergraduate, presence-learning-courses
- Teacher support
- Support in studies
- Courses offered
- Study organisation
- Exam organisation
- Digital teaching elements
- Research orientation
- Introduction to scientific work
- Offers for career orientation
- Practical orientation in teaching
- Support for stays abroad
- Rooms
- Library
- IT-infrastructure
- Overall study situation
- Return rate of the questionnaires
29
Students' assessments on cooperate education courses
- Teacher support
- Support in studies
- Courses offered
- Study organisation
- Digital teaching elements
- Exam organisation
- Support for stays abroad
- Coordination of theory and practice phases
- Rooms
- Library
- IT-infrastructure
- Overall study situation
- Return rate of the questionnaires
no data
Further information provided by the department
Special features regarding teaching in the bachelor's degree programme
The close integration of Computer Science and Electrical and Electronic Engineering is what characterises the profile of the degree courses.; Mainly application-oriented Computer Science degree courses with technical applications and specialisation in the areas of image processing, system design and sensor technology; An interdisciplinary specialisation in Medical Informatics in cooperation with the Faculty of Life Sciences.
Special features regarding the international orientation
Hybrid courses include blended intensive programmes (BIP), summer and winter schools, seminar papers, project work, Bachelor's and Master's theses and extracurricular courses.
Exchange universities for stay abroads
Universita degli Studi di Trento, Universita degli Studi di Roma 'La Sapienza', Oulun Yliopisto, Tallinna Ülikool, Norges Teknisk-Naturvitenskapelige Universitet, Universidale de Aveiro, Univerza v MAriboru, Universite d'Orleans, Universidade de Tras-Os-Montes e Alto Douro
Special features regarding the equipment
Virtual-Reality lab (3D entire room projection facility); Modern laboratories for Technical Computer Science / Embedded Systems, Computer Network Laboratory (with CCNA certification), OMNI cluster with GPU nodes can be used free of charge by all university members.
Special features regarding research activities
The close integration of Electrical and Electronic Engineering and Computer Science into one discipline determines the profile of Computer Science at the Universität Siegen. Profile areas are Visual Computing, Sensorics, Embedded Systems. International projects in the Centre for Sensor Technology (ZESS) and participation in concrete projects on an international level: - European University ATHENA (Advanced Technology Higher Education Network), - European Training Network MENELAOS NT, - MSCA COFUND STAR (EU exchange programme for post-doctoral studies) - EMINENT (European Master on Embedded Intelligence Nanosystems Engineering).
Further information on research activities
Further information about study entry phase
Website of the Student Council
online-application
Legend
Groups
green
yellow
red
not specified
Acronyms
(S) = Students' judgements
(F) = Facts
(P) = Professors' judgements
Units
Value in percent
Value in points
Euro
Thousand Euro
Last Update 2024: Data collected by the
CHE Center for Higher Education
