bam - Bachelor Thesis and Colloquium (Course overview)
Department of Computing Science |
15 KP |
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Semester courses Sommersemester 2021 |
Type of course: Seminar
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2.01.AM - Oberseminar Computational Intelligence
- Prof. Dr. Oliver Kramer
- Lars Elend, M. Sc.
- Philip Mirbach, M.S.
- Tim Cofala
The course times are not decided yet.
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2.01.AM-A - Oberseminar Entwurf Intelligenter Transportsysteme
The course times are not decided yet.
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2.01.AM-B - Oberseminar Formale Methoden
The course times are not decided yet.
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2.01.AM-C - Oberseminar Entwicklung korrekter Systeme
- Prof. Dr. Ernst-Rüdiger Olderog
Wednesday: 14:00 - 16:00, weekly (from 14/04/21)
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2.01.AM-D - Oberseminar Applied Artificial Intelligence (Bachelor/Masterseminar)
- Prof. Dr. Daniel Sonntag
- Michael Barz, M. Sc.
- Rajarshi Biswas
Tuesday: 11:00 - 12:00, weekly (from 13/04/21), Video call: https://elearning.uni-oldenburg.de/plugins.php/meetingplugin/room/index/6a848ae91668e033e706b5853af54b21/23cd17468a88cd45aa04f1893b539119?cancel_login=1
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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
- Prof. Dr. Wolfgang Nebel
- Friederike Bruns, M. Sc.
- Prof. Dr. Achim Rettberg
The course times are not decided yet.
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2.01.AM-G - Oberseminar Assistenzssysteme und Medizintechnik
Tuesday: 10:00 - 12:00, weekly (from 13/04/21), S
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2.01.AM-H - Oberseminar Hybride Systeme
- Prof. Dr. Martin Georg Fränzle
- Paul Kröger
Monday: 08:30 - 09:30, fortnightly (from 26/04/21), KO Dates on Monday, 19.07.2021 08:00 - 09:00, Wednesday, 21.07.2021 10:00 - 11:00, Monday, 30.08.2021, Monday, 13.09.2021, Monday, 27.09.2021 08:00 - 09:00
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2.01.AM-I - Oberseminar VLBA
- Prof. Dr. Jorge Marx Gómez
Friday: 10:00 - 12:00, fortnightly (from 16/04/21), KO
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2.01.AM-K - Oberseminar Didaktik der Informatik
- Prof. Dr. Ira Diethelm
- Dr.-Ing. Nadine Dittert
Thursday: 10:00 - 12:00, weekly (from 15/04/21), KO Dates on Tuesday, 27.07.2021 12:30 - 14:00
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2.01.AM-L - Oberseminar Systemsoftware und verteilte Systeme
Wednesday: 16:00 - 18:00, weekly (from 14/04/21), KO
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2.01.AM-M - Oberseminar Mikrorobotik und Regelungstechnik
Friday: 10:00 - 12:00, weekly (from 16/04/21)
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2.01.AM-N - Oberseminar Medieninformatik und Multimedia-Systeme
- Prof. Dr. Susanne Boll-Westermann
Tuesday: 14:00 - 16:00, weekly (from 13/04/21), Oberseminar
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2.01.AM-O - Oberseminar Digitalisierte Energiesysteme
Dates on Monday, 29.03.2021 14:00 - 16:00
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2.01.AM-Q - Oberseminar Softwaretechnik
- Prof. Dr. Andreas Winter
- Florian Schmalriede
The course times are not decided yet.
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2.01.AM-R - Oberseminar Systemanalyse und -optimierung
- Prof. Dr. Axel Hahn
- Prof. Dr. Jürgen Sauer
- Janusz Andrzej Piotrowski, M. Sc.
- Klaas Dählmann
Thursday: 10:00 - 12:00, weekly (from 15/04/21), BigBlueButton Dates on Thursday, 26.08.2021, Thursday, 23.09.2021, Thursday, 30.09.2021 10:00 - 12:00
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Hinweise zum Modul |
Prerequisites |
No participant requirements |
Examination times |
varying |
Module examination |
thesis, seminar paper |
Skills to be acquired in this module |
The students are able to process and write on a scientifically oriented computer science topic. Professional competence
The students:
- evaluate the possibilities and limits of computer science methods and tools and apply them appropriately
Methodological competence
The students:
- select appropriate methods and tools and evaluate them
- analyse problems using the latest technical and scientific literature
- implement software projects and design hardware with the latest computer science tools
- reflect a (computer) science topic under guidance, write an article (seminar paper or thesis) and present their results scientifically
Social competence
The students:
- recognise conflicts and solve them in a team
- use presentation and project management methods appropriately
- identify and assume responsibility for tasks
- are aware of the social impact of their computational/informatical actions, as well as the consequences of information technologies
Self-competence
The students:
- select priorities appropriately, also their own
- plan their computer science actions independently Complement and deepen their knowledge and adapt it to the latest developments in IT independently
- evaluate their results and discuss them with users and experts
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