Lehrveranstaltungsform: Seminar
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2.01.911 - Oberseminar Medieninformatik und Multimedia-Systeme
- Prof. Dr. Susanne Boll-Westermann
Tuesday: 14:00 - 16:00, weekly (from 02/04/19), Oberseminar Dates on Tuesday, 16.07.2019, Tuesday, 23.07.2019, Tuesday, 30.07.2019, Tuesday, 06.08.2019, Tuesday, 13.08.2019, Tuesday, 20.08.2019, Tuesday, 27.08.2019, Tuesday, 17.09.2019, Tuesday, 24.09.2019 14:00 - 16:00
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2.01.912 - Oberseminar Systemsoftware und verteilte Systeme
Wednesday: 16:00 - 18:00, weekly (from 03/04/19), KO
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2.01.913 - Oberseminar Softwaretechnik
Tuesday: 16:00 - 18:00, weekly (from 02/04/19), KO
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2.01.920 - Oberseminar Systemanalyse und -optimierung (SAO)
- Prof. Dr. Axel Hahn
- Prof. Dr. Jürgen Sauer
Thursday: 10:00 - 12:00, weekly (from 04/04/19), KO, Location: A03 4-403, A03 4-402, (OFFIS F02) (+1 more) Dates on Thursday, 13.06.2019 14:00 - 15:00, Thursday, 22.08.2019, Thursday, 19.09.2019 10:00 - 12:00, Location: A03 4-403, ((F02)), ((OFFIS F02))
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2.01.921 - Oberseminar VLBA
- Prof. Dr. Jorge Marx Gómez
Friday: 10:00 - 12:00, weekly (from 05/04/19), KO
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2.01.923 - Oberseminar Energieinformatik
- Prof. Dr. Sebastian Lehnhoff
Thursday: 14:00 - 16:00, weekly (from 04/04/19), KO
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2.01.924 - Oberseminar Computational Intelligence
- Prof. Dr. Oliver Kramer
- Lars Elend, M. Sc.
- Nils Steffen Worzyk
- Almuth Meier, M. Sc.
- Philip Mirbach, M.S.
- Jonas Prellberg
Tuesday: 14:00 - 16:00, weekly (from 02/04/19), KO Dates on Tuesday, 24.09.2019 14:00 - 16:00
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2.01.930 - Oberseminar Sicherheitskritische Eingebettete Systeme
Tuesday: 16:00 - 18:00, weekly (from 02/04/19), KO
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2.01.931 - Oberseminar Eingebettete Hardware-/Softwaresysteme
Tuesday: 14:00 - 16:00, weekly (from 02/04/19), KO
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2.01.932 - Oberseminar Hybride Systeme
- Prof. Dr. Martin Georg Fränzle
Monday: 14:00 - 16:00, weekly (from 01/04/19), KO
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2.01.933 - Oberseminar Automatisierung und Messtechnik
Tuesday: 10:00 - 12:00, weekly (from 02/04/19), S
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2.01.934 - Oberseminar Mikrorobotik und Regelungstechnik
Friday: 10:00 - 12:00, weekly (from 05/04/19)
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2.01.935 - Oberseminar Entwurf Intelligenter Transportsysteme
The course times are not decided yet.
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2.01.940 - Oberseminar Theoretische Informatik
- Priv.-Doz.Dr. Elke Wilkeit
Friday: 14:00 - 16:00, weekly (from 05/04/19), KO
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2.01.941 - Oberseminar Formale Sprachen
Friday: 16:00 - 18:00, weekly (from 05/04/19), KO
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2.01.942 - Oberseminar Entwicklung korrekter Systeme
- Prof. Dr. Ernst-Rüdiger Olderog
Wednesday: 10:00 - 12:00, weekly (from 03/04/19)
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Prüfungszeiten |
individuell |
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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