Form of instruction: Seminar
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2.01.1024 - Oberseminar Big Data in der Medizin
- Prof. Dr. Antje Wulff
- Dr. Andreas Klausen
The course times are not decided yet.
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2.01.AM-A - Oberseminar Sicherheit und Erklärbarkeit Lernender Systeme
The course times are not decided yet.
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2.01.AM-B - Oberseminar Formale Methoden
Dates on Wednesday, 08.06.2022 13:00 - 14:00, Monday, 13.06.2022 16:00 - 17:00, Monday, 12.09.2022, Tuesday, 20.09.2022 14:00 - 15:00
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2.01.AM-C - Oberseminar Entwicklung korrekter Systeme
- Prof. Dr. Ernst-Rüdiger Olderog
Thursday: 14:00 - 16:00, weekly (from 21/04/22), Abschlussarbeiten-Seminar
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2.01.AM-D - Oberseminar Applied Artificial Intelligence (Bachelor/Masterseminar)
- Michael Barz, M. Sc.
- Prof. Dr. Daniel Sonntag
- Bengt Lüers
Tuesday: 11:00 - 12:00, weekly (from 26/04/22)
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2.01.AM-E - Oberseminar Energieinformatik
- Prof. Dr. Sebastian Lehnhoff
The course times are not decided yet.
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2.01.AM-F - Oberseminar Eingebettete Hardware-/Softwaresysteme
- Friederike Bruns, M. Sc.
- Prof. Dr. Wolfgang Nebel
- Prof. Dr. Achim Rettberg
The course times are not decided yet.
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2.01.AM-G - Oberseminar Assistenzssysteme und Medizintechnik
Thursday: 12:15 - 13:45, weekly (from 21/04/22) Dates on Wednesday, 11.05.2022 08:00 - 18:00
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2.01.AM-H - Oberseminar Foundations and Applications of Systems of Cyber-Physical Systems
- Prof. Dr. Martin Georg Fränzle
- Paul Kröger
Monday: 10:15 - 11:45, fortnightly (from 02/05/22) Dates on Wednesday, 18.05.2022 11:00 - 12:00, Monday, 22.08.2022, Monday, 05.09.2022, Monday, 19.09.2022 10:15 - 11:15
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2.01.AM-I - Oberseminar Computational Intelligence
- Tim Cofala
- Lars Elend, M. Sc.
- Prof. Dr. Oliver Kramer
Tuesday: 14:00 - 16:00, weekly (from 19/04/22)
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2.01.AM-J - Oberseminar VLBA
- Prof. Dr. Jorge Marx Gómez
Friday: 10:15 - 11:45, fortnightly (from 22/04/22)
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2.01.AM-K - Oberseminar Didaktik der Informatik
Thursday: 10:00 - 12:00, weekly (from 21/04/22) Dates on Thursday, 01.09.2022, Thursday, 08.09.2022 10:15 - 11:45
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2.01.AM-L - Oberseminar Mikrorobotik und Regelungstechnik
Friday: 10:00 - 12:00, weekly (from 22/04/22)
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2.01.AM-M - Oberseminar Medieninformatik und Multimedia-Systeme
- Prof. Dr. Susanne Boll-Westermann
- Dr.-Ing. Heiko Müller
- Tobias Lunte
- Mikolaj Wozniak
- Dr.-Ing. Dietrich Boles
- Susanna Krämer
Tuesday: 14:00 - 16:00, weekly (from 19/04/22)
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2.01.AM-N - Oberseminar Digitalisierte Energiesysteme
- Prof. Dr. Astrid Nieße
- Dr. Ute Vogel-Sonnenschein
- Torge Wolff, M. Sc.
- Paul Hendrik Tiemann, M. Sc.
- Rico Schrage, M. Sc.
- Thomas Wolgast, M. Sc.
- Stephan Alexander Ferenz, M. Sc.
- Jens Sager
- Emilie Frost
Monday: 14:00 - 16:00, weekly (from 25/04/22) Dates on Monday, 15.08.2022 14:15 - 15:00
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2.01.AM-O - Oberseminar Softwaretechnik
- Florian Schmalriede
- Prof. Dr. Andreas Winter
Tuesday: 16:00 - 18:00, weekly (from 19/04/22)
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2.01.AM-P - Oberseminar Systemanalyse und -optimierung
- Janusz Andrzej Piotrowski, M. Sc.
- Prof. Dr.-Ing. Jürgen Sauer
- Prof. Dr. Axel Hahn
Thursday: 10:15 - 11:45, weekly (from 21/04/22) Dates on Thursday, 25.08.2022, Thursday, 29.09.2022 10:00 - 12:00
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2.01.AM-Q - Oberseminar Systemsoftware und verteilte Systeme
Wednesday: 16:00 - 18:00, weekly (from 20/04/22)
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2.01.AM-S - Oberseminar AI4Health
- Prof. Dr. Nils Strodthoff
Friday: 08:15 - 09:45, weekly (from 22/04/22)
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2.01.AM-T - Oberseminar Verteilte Regelung in vernetzten Systemen
- Prof. Dr.-Ing. habil. Andreas Rauh
Dates on Friday, 08.04.2022, Friday, 22.04.2022, Friday, 06.05.2022, Friday, 20.05.2022, Friday, 03.06.2022, Friday, 17.06.2022 13:00 - , 14:00, Wednesday, 29.06.2022 12:15 - 16:15, Friday, 01.07.2022, Tuesday, 16.08.2022 13:00 - 14:00, Wednesday, 17.08.2022 14:00 - 16:00, Tuesday, 13.09.2022, Friday, 30.09.2022 13:00 - 15:00 ...(more)
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2.01.AM-U - Oberseminar Entwurf Intelligenter Transportsysteme
The course times are not decided yet.
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2.01.AM-V - Oberseminar Data Science
- Prof. Dr. Wolfram Wingerath
- Dr. Marco Grawunder
The course times are not decided yet.
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2.01.AM-W - Oberseminar Safety-Security-Interaction
Dates on Monday, 02.05.2022 11:00 - 12:00, Wednesday, 15.06.2022 17:00 - 18:30, Wednesday, 07.09.2022, Thursday, 15.09.2022 16:00 - 17:00
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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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