Fakultät für Mathematik und Informatik at the Uni Heidelberg

Institut für Informatik

Uni Heidelberg

Im Neuenheimer Feld 205 Mathematikon
69120 Heidelberg
Phone: +49 6221 54-4973

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Basic information

Total number of students	780
Number of master degree students	220
Percentage of teaching by practitioners	not specified
Percentage of teaching by practitioners, master's	not specified

Support during the study entry phase

Total score for support in the study entry phase

5/14 points

Results of study

Graduations in appropriate time, undergraduate degrees	36.0 %
Graduations in appropriate time, master's	47.3 %

Job market- and career-orientation

Bachelor theses in cooperation with work environment	not specified
Master theses in cooperation with work environment	not specified

Research

Publications per academic	3.5
Third party funds per academic	94.5 T€
Doctorates per professor	1.5

Students' assessments on undergraduate, presence-learning-courses

Teacher support	2.2
Support in studies	2.2
Courses offered	2.1
Study organisation	1.8
Exams	2.2
Research orientation
Job market preparation	2.3
Support for stays abroad	2.2
Rooms	1.7
Library	1.5
IT-infrastructure	1.9
Workstations	2.0
Overall study situation	2.3

Students' assessments on consecutive master's degree courses

Teacher support	1.9
Support in studies
Courses offered	2.1
Study organisation	2.0
Transition to Master's studies	2.1
Research orientation	2.1
Overall study situation	2.4

Degree courses with details

Degree courses without details

Further degree courses of the department

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About studying Computer Science in Germany

About the subject

Further information provided by the department

Special features regarding teaching
Small number of students; very good supervision in small groups in lectures, exercises and practical courses; research-oriented and interdisciplinary teaching; joint courses for advanced Bachelor and Master; large selection of elective modules; but also specialisation in image processing, computer graphics and visualisation; information systems engineering; optimisation; scientific computing; cooperation with industry and many non-university research institutions; students are involved in research at an early stage, e.g. through publications at conferences.
Exchange universities for stay abroads
Outgoing: Sorbonne Université und ECE, Paris, Franz und Charles University, Prag, Tschechien; Incoming: Politecnico die Milano, Mailand, Italien, EGE University, Izmir, Türkei
Special features regarding the equipment
Several powerful computing clusters with different architectures, CPU cluster, computing lab, also explicitly for teaching; state-of-the-art software tools for chip design (Cadence); well-equipped robotics lab; motion analysis lab.
Special features regarding research activities
Highly interdisciplinary; close linking of research and industry, e.g. graduate school HGS MathComp; industry-on-campus topics; various research focus: Image Processing, Computer Graphics and Visualisation, Information Systems Engineering, High Performance Computing, Theoretical Computer Science, Distributed Systems, Scientific Computing, Computer Engineering (e.g. chip development, GPU acceleration, energy efficient "Machine Learning", robotics, design and commissioning of application specific hardware (analog chips, mixed-mode systems, communication ASICs))
Support for founders
Teaching of basic business knowledge within the framework of the course "Entrepreneurship". Competence of the lecturers due to own experiences with spin-offs.
Other special features
Studying at an elite university with relatively few fellow-students brings the benefit of early involvement in research. An in-depth interdisciplinary collaboration exists between Computer Science, the natural and life sciences and the humanities. Students take part in research from an early stage, e.g. through publications at conferences.
Further information on research activities
www.informatik.uni-heidelberg.de/index.php?id=69