This course provides an overview of the most important digital applications in the field of aerospace research. The course instructors discuss how digitalisation is impacting and changing both satellite-based and manned spaceflight research. One unit is specifically devoted to exploring the use of artificial intelligence in the evaluation of satellite data.
このコースはDigitalisation in Aeronautics and Space専門講座に属します。
提供:
このコースについて
学習内容
You will learn about a range of digital applications used in space research.
You will take a look at hazards created by digitalisation, especially in space travel, and at the challenges faced by the scientific community.
You will understand the effects of digitalisation on satellite navigation technology in particular.
提供:

ミュンヘン工科大学(Technische Universität München(TUM))
Technische Universität München (TUM) is one of Europe’s top universities. It is committed to excellence in research and teaching, interdisciplinary education and the active promotion of promising young scientists. The university forges strong links with companies and scientific institutions across the world. TUM was one of the first universities in Germany to be named a University of Excellence. TUM does not pass any personal data to the platform providers. If you take part in one of our MOOCs, please refer to the data protection guidelines in the terms and conditions of the provider.
シラバス - 本コースの学習内容
Digital Transformation in the Space Industry
Dr. Peter Weckesser provides insights into digitalisation processes from the manufacturing perspective, discussing approaches taken with the new digital workflows.
Space and Digitisation - Changing Paradigms and Challenges
The digital revolution has an impact on many levels of space business and space technology. The advent of “New Space” is strongly connected to digitalisation, a game changer challenging long-standing paradigms such as in spacecraft mission and system design. This module illustrates the innovative effects of digitalisation in various areas such as earth observation, downstream services and mission and system design. The module also examines digitalisation challenges in the space sector including cyber threats and the sector’s increasing strategic and commercial value. - Lecturer: Professor Roger Förstner (Universität der Bundeswehr München).
Global Navigation Satellite Systems (GNSS) for efficient and flexible air navigation
Civil aviation is a multi-trillion-dollar market projected to grow continuously until at least 2040. Aircraft navigation and guidance from terminal to terminal is the determining cost factor for individual flights. Thus any savings resulting from the introduction of new digital technology will yield an extremely high return on investment due to economies of scale. This course outlines the specific navigation context before identifying where conventional navigation means (flight routes) are insufficient for achieving further increases in capacity, flexibility and performance. The concept of performance-based navigation (PBN) is outlined and why positioning needs to be available everywhere (area navigation - RNAV). The GNSS basic positioning principle is described and the relatively frequent satellite failures and anomalies are explored which are the reason why stand-alone GNSS cannot be used directly for a safety-critical application. The concept of solution separation statistics combined with the use of multiple GNSS constellations is introduced (Advanced Receiver Autonomous Integrity Monitoring – ARAIM) which in the long term may replace conventional navigation technology. The lecture concludes with a look at limiting factors, the current planning of civil aviation authorities and the European GNSS Galileo project. - Lecturer: Professor Thomas Pany (Universität der Bundeswehr München).
Digitisation in Earth Observation
This online course is about the advances made in Earth Observation (EO) over the last few years. No other area of space applications has seen so much advancement in recent decades.The objective of this course is to explore the major trends in the collection, storage, distribution and analysis of remote sensing data. The complementary data sources introduced in the course include satellites, high-altitude platforms (HAPSs), planes and unmanned aerial vehicles (UAVs).The European Copernicus System is the world’s largest free and open monitoring system for environmental and security purposes. It is cited throughout the course as an example of the technological cutting edge, presented together with a commercial case study. Cloud-based access, archiving and processing technologies are introduced and discussed and basic terminology like DaaS, SaaS and PaaS is explained in the specific context of EO.The advent of Artificial Intelligence represents the dawn of a new era in data analysis. AI4EO provides additional analysis tools beyond physical algorithms. AI makes it possible to work on extremely big data volumes and combine very different data types such as images and social media data. - Lecturers: Professor Xiaoxiang Zhu (DLR German Aerospace Center & Technical University Munich) & Professor Volker Liebig (Airbus DS & University of Stuttgart).
レビュー
- 5 stars85.71%
- 4 stars6.34%
- 3 stars4.76%
- 2 stars1.58%
- 1 star1.58%
DIGITALISATION IN SPACE RESEARCH からの人気レビュー
A great way to gain tons of insights about digitalization and tech in space!
As a space engineering student I found this course very interesting and helpful.
Like the course structure and content, it covers in short durations.
Thanks to all instructors for making such good videos. I recommend it to everyone who wants to learn about space research. Never stop learning about space research! :D
Digitalisation in Aeronautics and Space専門講座について
View the Specialization trailer: https://youtu.be/nbbgAkJUbRo

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