bam - Bachelor Thesis and Colloquium (Course overview)
Department of Computing Science |
15 KP |
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Semester courses Wintersemester 2023/2024 |
Type of course: Seminar
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2.01.AM-1 - Oberseminar AI4Health
- Prof. Dr. Nils Strodthoff
Friday: 08:00 - 10:00, weekly (from 20/10/23)
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2.01.AM-10 - Oberseminar Entwicklung korrekter Systeme
- Prof. Dr. Ernst-Rüdiger Olderog
Wednesday: 14:00 - 16:00, weekly (from 18/10/23)
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2.01.AM-11 - Oberseminar Entwurf Intelligenter Transportsysteme
The course times are not decided yet.
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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: 08:00 - 10:00, fortnightly (from 16/10/23)
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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
- Dr. Gözel Shakeri
- Mikolaj Wozniak
Tuesday: 14:00 - 16:00, weekly (from 17/10/23)
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2.01.AM-14 - Oberseminar Mikrorobotik und Regelungstechnik
Friday: 10:00 - 12:00, weekly (from 20/10/23)
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2.01.AM-15 - Oberseminar WI - Umwelt und Nachhaltigkeit
Thursday: 10:00 - 12:00, weekly (from 02/11/23), Location: V03 0-M018, V03 0-M017
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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
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2.01.AM-17 - Oberseminar Softwaretechnik
- Florian Schmalriede
- Prof. Dr. Andreas Winter
Tuesday: 16:00 - 18:00, weekly (from 17/10/23)
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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)
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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)
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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)
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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
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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 20/10/23)
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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
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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
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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"
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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)
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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 19/10/23)
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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
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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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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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