Type of course: Seminar
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2.01.AM-10 - Oberseminar Entwicklung korrekter Systeme
- Prof. Dr. Ernst-Rüdiger Olderog
Wednesday: 14:00 - 16:00, weekly (from 16/10/24)
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2.01.AM-12 - Oberseminar Foundations and Applications of Systems of Cyber-Physical Systems
- Prof. Dr. Martin Georg Fränzle
- Paul Kröger
Monday: 10:00 - 12:00, fortnightly (from 14/10/24)
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2.01.AM-13 - Oberseminar Medieninformatik und Multimedia-Systeme
- Dr.-Ing. Dietrich Boles
- Prof. Dr. Susanne Boll-Westermann
- Tobias Lunte
- Dr.-Ing. Heiko Müller
- Mikolaj Wozniak
Tuesday: 14:00 - 16:00, weekly (from 15/10/24)
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2.01.AM-14 - Oberseminar Mikrorobotik und Regelungstechnik
Friday: 10:00 - 12:00, weekly (from 18/10/24)
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2.01.AM-15 - Oberseminar WI - Umwelt und Nachhaltigkeit
Thursday: 10:00 - 12:00, weekly (from 17/10/24)
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2.01.AM-16 - Oberseminar Safety-Security-Interaction
Dates on Thursday, 14.11.2024 16:00 - 18:00, Thursday, 19.12.2024 16:00 - 17:00
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2.01.AM-17 - Oberseminar Softwaretechnik
- Florian Schmalriede
- Prof. Dr. Andreas Winter
Tuesday: 16:00 - 18:00, weekly (from 15/10/24)
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2.01.AM-18 - Oberseminar Systemanalyse und -optimierung
- Prof. Dr. Axel Hahn
- Prof. Dr.-Ing. Jürgen Sauer
Thursday: 10:00 - 12:00, weekly (from 17/10/24) Dates on Tuesday, 05.11.2024 08:00 - 08:30, Thursday, 27.02.2025, Thursday, 20.03.2025 10:00 - 12:00
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2.01.AM-19 - Oberseminar Systemsoftware und verteilte Systeme
Wednesday: 16:00 - 18:00, weekly (from 16/10/24), Location: (A04 2-225) Dates on Wednesday, 04.12.2024, Wednesday, 11.12.2024 16:00 - 18:00, Location: V03 0-C001, V04 0-033
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2.01.AM-2 - Oberseminar Applied Artificial Intelligence
- Michael Barz, M. Sc.
- Ilira Hiller
- Prof. Dr. Daniel Sonntag
- Hannes Kath
Tuesday: 08:00 - 10:00, weekly (from 15/10/24)
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2.01.AM-20 - Oberseminar Verteilte Regelung in vernetzten Systemen
- Prof. Dr.-Ing. habil. Andreas Rauh
Friday: 12:00 - 14:00, weekly (from 24/01/25) Dates on Tuesday, 08.10.2024 14:00 - 15:30, Friday, 18.10.2024 13:00 - 14:00, Wednesday, 13.11.2024 09:00 - 10:00, Friday, 15.11.2024 12:00 - 12:45, Friday, 15.11.2024, Friday, 22.11.2024 13:00 - 14:00, Wednesday, 27.11.2024 09:00 - 10:00, Friday, 29.11.2024 10:30 - 11:30, Friday, 06.12.2024 13:00 - 14:00, Friday, 13.12.2024 12:30 - 13:30, Friday, 17.01.2025 13:00 - 14:00, Tuesday, 04.02.2025 10:00 - 12:00 ...(more)
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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 18/10/24), Location: A04 2-221 Dates on Friday, 11.10.2024 10:00 - 12:00, Wednesday, 30.10.2024 13:00 - 16:00, Location: A01 0-004, (A04 3-321)
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2.01.AM-22 - Oberseminar Formale Methoden
The course times are not decided yet.
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2.01.AM-23 - Oberseminar Quantitative Verifikation
- Prof. Dr. Christoph Matheja
The course times are not decided yet.
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2.01.AM-24 - Oberseminar Eingebettete Hardware-/Software-Systeme
- M. Sc. Mahsa Moazez
- Prof. Dr. Verena Klös
- M. Sc. Ali Torbati
Friday: 12:00 - 14:00, weekly (from 25/10/24) Dates on Friday, 22.11.2024 13:00 - 14:00
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2.01.AM-25 - Oberseminar AI4Health
- Prof. Dr. Nils Strodthoff
Friday: 08:00 - 10:00, weekly (from 18/10/24)
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2.01.AM-3 - Oberseminar Assistenzsysteme und Medizintechnik
- Linda Christin Büker
- Prof. Dr. Andreas Hein
Monday: 12:00 - 14:00, every third week (from 14/10/24), Location: V03 0-M017 Tuesday: 14:00 - 16:00, weekly (from 15/10/24), Location: V04 1-146 Dates on Tuesday, 04.02.2025 16:00 - 18:00, Monday, 17.02.2025 12:00 - 14:00, Tuesday, 25.02.2025, Tuesday, 04.03.2025 16:00 - 18:00, , Monday, 10.03.2025 12:00 - 14:00, Tuesday, 18.03.2025 16:00 - 18:00, Wednesday, 19.03.2025 13:30 - 14:30, Tuesday, 25.03.2025 16:00 - 18:00, Monday, 31.03.2025 12:00 - 14:00 ...(more), Location: V04 1-146, V03 0-C001
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2.01.AM-4 - Oberseminar Big Data in der Medizin
- Prof. Dr. Antje Wulff
- Anna Katharina Böhm-Hustede
- Dr. Andreas Klausen
Thursday: 14:00 - 16:00, fortnightly (from 24/10/24), Oberseminar - Abschluss- und Forschungsarbeiten "Big Data in der Medizin", Location: V03 2-A208, V03 0-C001, S 2-203 Dates on Monday, 31.03.2025 10:00 - 12:00, Location: (V03 2-S202)
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2.01.AM-5 - Oberseminar Computational Intelligence
Tuesday: 14:00 - 16:00, weekly (from 15/10/24)
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2.01.AM-6 - Oberseminar Data Science
- Dr. Marco Grawunder
- Prof. Dr. Wolfram Wingerath
The course times are not decided yet.
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2.01.AM-7 - Oberseminar Didaktik der Informatik
- Prof. Dr. Ira Diethelm
- Rina Martina Ferdinand
Thursday: 10:00 - 12:00, weekly (from 17/10/24)
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2.01.AM-8 - Oberseminar Digitalisierte Energiesysteme
- Julia Catharina Heiken, M.Sc.
- Prof. Dr. Astrid Nieße
Thursday: 14:00 - 16:00, weekly (from 17/10/24) Dates on Thursday, 09.01.2025 12:00 - 14:00, Thursday, 30.01.2025 11:00 - 12:30
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2.01.AM-9 - Oberseminar Energieinformatik
- Prof. Dr. Sebastian Lehnhoff
The course times are not decided yet.
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Prerequisites |
no participant requirements |
Prüfungszeiten |
Individually in consultation with the reviewers and supervisors |
Module examination |
Masters thesis, presentation and discussion. |
Skills to be acquired in this module |
The students prove that they are able to process and solve complex computer science tasks based on gained scientific knowledge and applied research methods. The students successfully implement a task especially by using their acquired professional and methodological knowledge and their professional and social competences. The accompanying seminar is used to discuss the masters thesis methodically and content-related. During the seminar the exchange of research and practical experience fosters the students' ability to discuss and evaluate their thesis with other students and experts. The masters thesis is finished by a colloquium. Professional competence The students: - recognise and evaluate applied techniques and methods of their subject and are aware of their limits
- design solutions for complex, possibly vaguely defined or unusual computer science tasks/problems and evaluate these with reference to state of the art computer science and technology
- identify, structure and solve problems/tasks, also in new or developing subject areas
- apply state of the art and innovative methods to solve problems, if necessary from other disciplines
- relate knowledge from different disciplines and apply this new knowledge in complex situations
- develop complex computer systems, processes and datamodels
- are aware of the current limits and contribute to the development of computer science research and technology
- discuss and evaluate recent computer science developments
Methodological competence The students: - identify and develop one or more solutions
- evaluate and apply tools, technology and methods sophisticatedly
- examine tasks with technical and research literature, write an academic article and present their solutions academically
- schedule processes and resources - Apply project management techniques
- combine new and original approaches and methods creatively
- evaluate problems/tasks, including new or developing subject areas of their discipline and apply computer science methods for solutions and research
Social competence The students: - communicate with users and experts convincingly
- take reasonable decisions
Self-competence The students: - pursue the overall and special computer science development critically
- implement innovative professional activities effectively and independently
- recognise their abilities and extend them purposefully
- reflect their self-perception and actions with regard to professional, methodological and social aspects
- develop and reflect self-developed hypotheses to theories independently
- work in their field independently
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