mam - Master Thesis Module Business Informatics (Course overview)
Department of Computing Science
30 KP
Semester courses Wintersemester 2023/2024
Type of course: Seminar
2.01.AM-1 - Oberseminar AI4Health
Prof. Dr. Nils Strodthoff
Friday: 08:00 - 10:00, weekly (from 20/10/23)
2.01.AM-10 - Oberseminar Entwicklung korrekter Systeme
Prof. Dr. Ernst-Rüdiger Olderog
Wednesday: 14:00 - 16:00, weekly (from 18/10/23)
2.01.AM-11 - Oberseminar Entwurf Intelligenter Transportsysteme
The course times are not decided yet.
2.01.AM-12 - Oberseminar Foundations and Applications of Systems of Cyber-Physical Systems
Prof. Dr. Martin Georg Fränzle
Paul Kröger
Monday: 08:00 - 10:00, fortnightly (from 16/10/23)
2.01.AM-13 - Oberseminar Medieninformatik und Multimedia-Systeme
Dr.-Ing. Dietrich Boles
Prof. Dr. Susanne Boll-Westermann
Tobias Lunte
Dr.-Ing. Heiko Müller
Dr. Gözel Shakeri
Mikolaj Wozniak
Tuesday: 14:00 - 16:00, weekly (from 17/10/23)
2.01.AM-14 - Oberseminar Mikrorobotik und Regelungstechnik
Friday: 10:00 - 12:00, weekly (from 20/10/23)
2.01.AM-15 - Oberseminar WI - Umwelt und Nachhaltigkeit
Thursday: 10:00 - 12:00, weekly (from 02/11/23), Location: V03 0-M017 , V03 0-M018
2.01.AM-16 - Oberseminar Safety-Security-Interaction
Dates on Thursday, 05.10.2023, Thursday, 19.10.2023, Wednesday, 01.11.2023, Thursday, 07.12.2023 16:00 - 17:00
2.01.AM-17 - Oberseminar Softwaretechnik
Florian Schmalriede
Prof. Dr. Andreas Winter
Tuesday: 16:00 - 18:00, weekly (from 17/10/23)
2.01.AM-18 - Oberseminar Systemanalyse und -optimierung
Prof. Dr. Axel Hahn
Janusz Andrzej Piotrowski, M. Sc.
Prof. Dr. Jürgen Sauer
Thursday: 10:00 - 12:00, weekly (from 19/10/23)
2.01.AM-19 - Oberseminar Systemsoftware und verteilte Systeme
Oliver Theel
Regina Knippenberg
Meike Burke
Wednesday: 16:00 - 18:00, weekly (from 18/10/23)
2.01.AM-2 - Oberseminar Applied Artificial Intelligence
Michael Barz, M. Sc.
Bengt Lüers
Prof. Dr. Daniel Sonntag
Ilira Troshani
Tuesday: 10:00 - 12:00, weekly (from 17/10/23)
2.01.AM-20 - Oberseminar Verteilte Regelung in vernetzten Systemen
Friday: 12:00 - 14:00, weekly (from 20/10/23) Dates on Wednesday, 11.10.2023 17:00 - 18:30, Wednesday, 25.10.2023 12:15 - 13:45
2.01.AM-21 - Oberseminar VLBA
Barbara Bremer-Rapp
Prof. Dr. Jorge Marx Gómez
Dr.-Ing. Andreas Solsbach
Friday: 10:00 - 12:00, weekly (from 20/10/23)
2.01.AM-22 - Oberseminar Formale Methoden
Dates on Thursday, 19.10.2023 14:00 - 15:00, Thursday, 02.11.2023 10:00 - 11:00, Wednesday, 22.11.2023 14:00 - 15:00
2.01.AM-3 - Oberseminar Assistenzsysteme und Medizintechnik
Prof. Dr. Andreas Hein
Linda Christin Büker
Monday: 12:00 - 14:00, every third week (from 16/10/23), Location: V03 3-S326 Tuesday: 14:00 - 16:00, weekly (from 17/10/23), Location: V03 3-S326 Dates on Tuesday, 06.02.2024, Tuesday, 13.02.2024, Tuesday, 20.02.2024, Tuesday, 05.03.2024, Tuesday, 12.03.2024, Tuesday, 19.03.2024, Tuesday, 26.03.2024 14:00 - 16:00, Location: V03 2-A208
2.01.AM-4 - Oberseminar Big Data in der Medizin
Thursday: 12:00 - 14:00, fortnightly (from 26/10/23), Oberseminar - Abschluss- und Forschungsarbeiten "Big Data in der Medizin"
2.01.AM-5 - Oberseminar Computational Intelligence
Lars Elend, M. Sc.
Prof. Dr. Oliver Kramer
Tuesday: 14:00 - 16:00, weekly (from 17/10/23)
2.01.AM-6 - Oberseminar Data Science
Dr. Marco Grawunder
Prof. Dr. Wolfram Wingerath
The course times are not decided yet.
2.01.AM-7 - Oberseminar Didaktik der Informatik
Prof. Dr. Ira Diethelm
Rina Martina Ferdinand
Thursday: 10:00 - 12:00, weekly (from 19/10/23)
2.01.AM-8 - Oberseminar Digitalisierte Energiesysteme
Prof. Dr. Astrid Nieße
Torge Wolff, M. Sc.
Thursday: 14:00 - 16:00, weekly (from 02/11/23) Dates on Thursday, 12.10.2023 14:00 - 16:00
2.01.AM-9 - Oberseminar Energieinformatik
Prof. Dr. Sebastian Lehnhoff
The course times are not decided yet.
Hinweise zum Modul
Prerequisites
no participant requirements
Module examination
Preparation and submission of the master's thesis according to the examination regulations. Defense of the master thesis in a final colloquium
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.