Computer Science Seminar (Master)
- Faculty
Faculty of Engineering and Computer Science
- Version
Version 1 of 19.05.2026.
- Module identifier
11M2011
- Module level
Master
- Language of instruction
German, English
- Module frequency
winter and summer term
- Duration
1 semester
- Brief description
The seminar is a classic event format at colleges and universities and is also
already used in the Master's module ‘Specialist Seminar’. In the seminar, students work largely independently
on a given topic using specialist literature and other
sources, and then present their findings in written and oral form. In contrast to the traditional lecture,
students are much more involved in the design and implementation of the event.
The computer science seminar (Master's) is intended as a generic module to address current issues in computer science, for example with a direct reference to a research project, and to make it more relevant than before as a module.
- Teaching and learning outcomes
The teaching and learning content is based on current issues in computer science that are not (yet) covered in the rest of the curriculum. With its special focus on small student groups, it can also be offered several times in one semester. The respective topics are further specified by the lecturers as part of their semester planning, for example as ‘Computer Science Seminar (Master's) – Focus on Graph Algorithms’.
- Overall workload
The total workload for the module is 150 hours (see also "ECTS credit points and grading").
- Teaching and learning methods
Lecturer based learning Workload hours Type of teaching Media implementation Concretization 30 Seminar - 15 Individual coaching - Lecturer independent learning Workload hours Type of teaching Media implementation Concretization 25 Study of literature - 55 Creation of examinations - 5 Peer-Feedback - 20 Presentation preparation -
- Graded examination
- Homework / Assignment or
- Oral presentation, with written elaboration or
- Portfolio exam
- Remark on the assessment methods
The portfolio assessment is worth 100 points and consists of two written work samples (APS) and a written project report (PSC) with accompanying explanation. A maximum of 20 points can be achieved for each of the two APS, and a maximum of 60 points can be achieved for the PSC.
- Exam duration and scope
- Term paper: 20–25 pages
- Presentation with written report: 20–25 pages
- Work sample, written, as part of the portfolio assessment: approx. 5–8 pages
- Project report, written as part of the portfolio assessment: approx. 10–15 pages, accompanying explanation: approx. 15 minutes
- Recommended prior knowledge
Computer science knowledge at bachelor's degree level
- Knowledge Broadening
Students can independently explore the subject matter of the topic they are working on in the computer science seminar. In doing so, they apply appropriate methods of scientific research and are able to identify and name content. They develop this content, summarise the resulting findings and present them.
- Knowledge deepening
is determined individually by the respective teachers
- Knowledge Understanding
is determined individually by the respective teachers
- Application and Transfer
Project-based teaching can be introduced and tested more easily without having to develop a complete internship programme, which can be quite complex.
- Academic Innovation
is determined individually by the respective teachers
- Communication and Cooperation
Several dates during the semester are organised by the students. A seminar can be offered very effectively in an online format, which means that the already limited room capacity is not used up.
- Academic Self-Conception / Professionalism
is determined individually by the respective teachers
- Literature
wird individuell durch die jeweiligen Lehrenden bestimmt
- Applicability in study programs
- Computer Science
- Computer Science M.Sc. (01.09.2025)
- Person responsible for the module
- Westerkamp, Clemens
- Teachers
- Morisse, Karsten
- Eikerling, Heinz-Josef
- Westerkamp, Clemens
- Further lecturer(s)
Alle im Studiengang eingebundenen Professorinnen und Professoren