mam - Master Thesis and Colloquium (Course overview)
Department of Computing Science
24 KP
Semester courses Wintersemester 2021/2022
Form of instruction: Seminar
2.01.AM-A - Oberseminar Didaktik der Informatik
Thursday: 10:00 - 12:00, weekly (from 21/10/21), KO
2.01.AM-B - Oberseminar Medieninformatik und Multimedia-Systeme
Prof. Dr. Susanne Boll-Westermann
Tuesday: 14:00 - 16:00, weekly (from 19/10/21), Oberseminar
2.01.AM-C - Oberseminar Systemsoftware und verteilte Systeme
Wednesday: 16:00 - 18:00, weekly (from 20/10/21), KO
2.01.AM-D - Oberseminar Systemanalyse und -optimierung
Prof. Dr. Jürgen Sauer Janusz Andrzej Piotrowski, M. Sc. Prof. Dr. Axel Hahn
Thursday: 10:00 - 12:00, weekly (from 21/10/21)
2.01.AM-E - Oberseminar VLBA
Prof. Dr. Jorge Marx Gómez Dr.-Ing. Andreas Solsbach
Friday: 10:00 - 12:00, weekly (from 22/10/21), KO
2.01.AM-F - Oberseminar Energieinformatik
Prof. Dr. Sebastian Lehnhoff
The course times are not decided yet.
2.01.AM-G - Oberseminar Computational Intelligence
Tim Cofala Lars Elend, M. Sc. Prof. Dr. Oliver Kramer
Tuesday: 14:00 - 16:00, weekly (from 19/10/21)
2.01.AM-H - Oberseminar Eingebettete Hardware-/Softwaresysteme
Prof. Dr. Wolfgang Nebel Friederike Bruns, M. Sc. Mahsa Moazez Sven Niklas Mehlhop
The course times are not decided yet.
2.01.AM-I - Oberseminar Mikrorobotik und Regelungstechnik
Friday: 10:00 - 12:00, weekly (from 22/10/21), KO
2.01.AM-J - Oberseminar Entwicklung korrekter Systeme
Prof. Dr. Ernst-Rüdiger Olderog
Wednesday: 14:15 - 15:45, weekly (from 20/10/21)
2.01.AM-K - Oberseminar Hybride Systeme
Prof. Dr. Martin Georg Fränzle Paul Kröger
Monday: 08:00 - 09:00, fortnightly (from 25/10/21), KO
2.01.AM-N - Oberseminar Softwaretechnik
Tuesday: 16:00 - 18:00, weekly (from 19/10/21)
2.01.AM-P - Oberseminar Formale Methoden
Dates on Tuesday, 23.11.2021 14:00 - 15:00
2.01.AM-Q - Oberseminar Digitalisierte Energiesysteme
Prof. Dr. Astrid Nieße Dr. Ute Vogel-Sonnenschein Thomas Wolgast, M. Sc. Jens Sager Paul Hendrik Tiemann, M. Sc. Rico Schrage, M. Sc. Stephan Alexander Ferenz, M. Sc. Torge Wolff, M. Sc. Emilie Frost
Monday: 14:00 - 16:00, weekly (from 18/10/21)
2.01.AM-R - Oberseminar Applied Artificial Intelligence (Bachelor/Masterseminar)
Prof. Dr. Daniel Sonntag Michael Barz, M. Sc. Bengt Lüers
The course times are not decided yet.
2.01.AM-S - Oberseminar Entwurf Intelligenter Transportsysteme
The course times are not decided yet.
Hinweise zum Modul
Prerequisites
no participant requirements
Module examination
G
Skills to be acquired in this module
By completing the master's thesis, the student provides evidence that he/she is able to process and solve complex and holistic tasks in computer science on the basis of comprehensive scientific knowledge and by applying the scientific method apparatus. In particular, the student has brought the technical and methodological knowledge acquired during the master's program as well as his/her technical and social competence into the processing of the master's thesis and applied them successfully. The master's seminar serves to discuss the content and methodology of the master's thesis. At the same time, it serves as an exchange of scientific and practical experience and enables the students to reflect on different approaches to solutions on the basis of theoretical knowledge and experience. The master seminar ends with a colloquium on the master thesis.
