Each module contains 3 ECTS. You choose a total of 10 modules/30 ECTS in the following module categories:
- 12-15 ECTS in technical scientific modules (TSM)
TSM modules teach profile-specific specialist skills and supplement the decentralised specialisation modules. - 9-12 ECTS in fundamental theoretical principles modules (FTP)
FTP modules deal with theoretical fundamentals such as higher mathematics, physics, information theory, chemistry, etc. They will teach more detailed, abstract scientific knowledge and help you to bridge the gap between abstraction and application that is so important for innovation. - 6-9 ECTS in context modules (CM)
CM modules will impart additional skills in areas such as technology management, business administration, communication, project management, patent law, contract law, etc.
In the module description (download pdf) you find the entire language information per module divided into the following categories:
- instruction
- documentation
- examination
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.
Prerequisites
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)
Learning Objectives
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
Contents of Module
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.
Teaching and Learning Methods
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
Literature
t.b.d
Download full module description
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