Ogni modulo equivale a 3 crediti ECTS. È possibile scegliere un totale di 10 moduli/30 ECTS nelle seguenti categorie:
- 12-15 crediti ECTS in moduli tecnico-scientifici (TSM)
I moduli TSM trasmettono competenze tecniche specifiche del profilo e si integrano ai moduli di approfondimento decentralizzati. - 9-12 crediti ECTS in basi teoriche ampliate (FTP)
I moduli FTP trattano principalmente basi teoriche come la matematica, la fisica, la teoria dell’informazione, la chimica ecc. I moduli ampliano la competenza scientifica dello studente e contribuiscono a creare un importante sinergia tra i concetti astratti e l’applicazione fondamentale per l’innovazione - 6-9 crediti ECTS in moduli di contesto (CM)
I moduli CM trasmettono competenze supplementari in settori quali gestione delle tecnologie, economia aziendale, comunicazione, gestione dei progetti, diritto dei brevetti, diritto contrattuale ecc.
La descrizione del modulo (scarica il pdf) riporta le informazioni linguistiche per ogni modulo, suddivise nelle seguenti categorie:
- Insegnamento
- Documentazione
- Esame
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.
Requisiti
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)
Obiettivi di apprendimento
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
Contenuti del modulo
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.
Metodologie di insegnamento e apprendimento
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
Bibliografia
t.b.d
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