Jedes Modul umfasst 3 ECTS. Sie wählen insgesamt 10 Module/30 ECTS in den folgenden Modulkategorien:
- 12-15 ECTS in Technisch-wissenschaftlichen Modulen (TSM)
TSM-Module vermitteln Ihnen profilspezifische Fachkompetenz und ergänzen die dezentralen Vertiefungsmodule. - 9-12 ECTS in Erweiterten theoretischen Grundlagen (FTP)
FTP-Module behandeln theoretische Grundlagen wie die höhere Mathematik, Physik, Informationstheorie, Chemie usw. Sie erweitern Ihre abstrakte, wissenschaftliche Tiefe und tragen dazu bei, den für die Innovation wichtigen Bogen zwischen Abstraktion und Anwendung spannen zu können. - 6-9 ECTS in Kontextmodulen (CM)
CM-Module vermitteln Ihnen Zusatzkompetenzen aus Bereichen wie Technologiemanagement, Betriebswirtschaft, Kommunikation, Projektmanagement, Patentrecht, Vertragsrecht usw.
In der Modulbeschreibung (siehe: Herunterladen der vollständigen Modulbeschreibung) finden Sie die kompletten Sprachangaben je Modul, unterteilt in die folgenden Kategorien:
- Unterricht
- Dokumentation
- Prüfung
The course will focus on operational and infrastructure topics and optimization of systems in terms of current issues and limitations, as wells as future developments in the aviation sector.
Future developments and important upcoming topics in the industry will be addressed, such as unmanned aircraft systems, new approaches in business models or aircraft and passenger operations.
Eintrittskompetenzen
The students are expected to have knowledge on a basic level in:
- Aviation in general
- Basic statistics
- Fundamental implementation skills (reading a csv file, performing basic operations, e.g. as done in INFRA-AA/AD)
Lernziele
The students are able to:
- perform basic analysis, modelling and prediction tasks based on a given data set
- perform basic optimizations (including definition of objective, implementation and interpretation of results)
- present and report about complex modelling results adequate for a specified target audience
- assess future developments in the aviation industry and plan appropriate reactions
- successfully leverage AI-Tools (such as LLMs) for implementation and analysis tasks
Modulinhalt
The course will start with an overview of aviation infrastructure, its challenges, limitations and potential future development scenarios.
Basic concepts of mathematical analysis, problem modelling and predictions for different scenarios will be made for chosen infrastructure topics (either proposed by the students to support their learning in given fields or by the lecturer, as agreed upon in class).
Throughout the course the theoretical foundations will have to be implemented and analyzed by the students with the help of AI-Tools (e.g. ChatGPT, Google AI Studio, etc.) as those tools will become an essential part for the next generation of aviation professionals.
Lehr- und Lernmethoden
The module will take place in a blended learning setting. This comprises:
- Conventional lectures in class
- Instruction videos
- Implementation problems and leveraging AI for implementations
- Analysis of case studies
- Oral presentations
- Scientific paper study
Bibliografie
t.b.d
Vollständige Modulbeschreibung herunterladen
Zurück