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Computer Science Seminar

Module name (EN):
Name of module in study programme. It should be precise and clear.
Computer Science Seminar
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Applied Informatics, Master, regulation 01.10.2026
Module code: PIM-SEM
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
4S (4 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
6
Semester: 3
Mandatory course: yes
Language of instruction:
German
Assessment:
Term paper, 3500 words (50%), presentation, 30 minutes (50%)

[updated 25.08.2026]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

PIM-SEM Applied Informatics, Master, regulation 01.10.2026 , semester 3, mandatory course

Suitable for exchange students (learning agreement)
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
60 class hours (= 45 clock hours) over a 15-week period.
The total student study time is 180 hours (equivalent to 6 ECTS credits).
There are therefore 135 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Maximilian Altmeyer
Lecturer:
Prof. Dr. Maximilian Altmeyer
Professor/innen des Studiengangs


[updated 13.04.2026]
Learning outcomes:
After successfully completing this module, students will be able to independently explore, organize, and prepare educational materials on a challenging academic topic in computer science. They will be able to present this topic orally in a clear and accessible manner, tailored to the audience, within a specified time frame. They will be able to actively participate in a technical discussion (asking and answering questions, justifying their positions) and concisely summarize lectures they have attended.

[updated 25.08.2026]
Module content:
Advanced topics in computer science.

[updated 25.08.2026]
Recommended or required reading:
Independent research on specific topics.

[updated 25.08.2026]
 
[Tue Sep  1 06:26:19 CEST 2026, CKEY=psia, BKEY=pim3, CID=PIM-SEM, LANGUAGE=en, DATE=01.09.2026]