Digitalisation in Space Research
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Digitalisation in Space Research
This course is part of Digitalisation in Aeronautics and Space Specialization
Instructors: Klaus Drechsler
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What you'll learn
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.
Skills you'll gain
- Data Storage
- Cyber Risk
- Cybersecurity
- Manufacturing Processes
- Digital Transformation
- Spatial Data Analysis
- Manufacturing and Production
- Image Analysis
- Cyber Attacks
- Cloud Computing
- digital literacy
- Geospatial Information and Technology
- AI literacy
- Global Positioning Systems
- Artificial Intelligence
- Environmental Monitoring
Details to know
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There are 4 modules in this course
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.
Dr. Peter Weckesser provides insights into digitalisation processes from the manufacturing perspective, discussing approaches taken with the new digital workflows.
What's included
5 videos2 readings
5 videos•Total 25 minutes
- Introduction to Munich Aerospace•2 minutes
- Introduction to the Technical University of Munich •3 minutes
- Digital Transformation•16 minutes
- Which impact has digitalisation on your life?•3 minutes
- What are the risks of digitalisation for aerospace research?•2 minutes
2 readings•Total 20 minutes
- Munich Aerospace’s e-learning program•10 minutes
- Munich Aerospace - who we are•10 minutes
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).
What's included
5 videos1 reading2 assignments2 peer reviews
5 videos•Total 86 minutes
- Introductory words•2 minutes
- Introduction•15 minutes
- Space Based Products & Services•26 minutes
- Development, Production & Operations•28 minutes
- Risks & Threats•15 minutes
1 reading•Total 30 minutes
- Space Perspective on Tech Trends 2019•30 minutes
2 assignments•Total 90 minutes
- Introduction•30 minutes
- Risks & Threats•60 minutes
2 peer reviews•Total 120 minutes
- Development, Production & Operations•60 minutes
- Space Based Products & Services•60 minutes
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).
What's included
5 videos2 readings3 assignments
5 videos•Total 89 minutes
- Civil Aviation Market•13 minutes
- Classical and Performance Based Navigation•20 minutes
- Satellite Navigation (GNSS): A Solution for everything?•19 minutes
- Relying on GNSS?•25 minutes
- Current Performance and Way forward•13 minutes
2 readings•Total 120 minutes
- Advanced Receiver autonomous Integrity monitoring for Aircraft Guidance using GNSS•60 minutes
- European ATM Master Plan 2020•60 minutes
3 assignments•Total 30 minutes
- Civil aviation market•10 minutes
- Classical and Performance-Based Navigation•10 minutes
- Current Performance and Way forward•10 minutes
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).
What's included
6 videos2 readings2 assignments
6 videos•Total 74 minutes
- Introduction of the Course Lecturers•2 minutes
- Learning Objectives•3 minutes
- Introduction•5 minutes
- Data Sources•24 minutes
- Data Archives & Access and Processing Services•14 minutes
- Analysis - AI4EO•25 minutes
2 readings•Total 70 minutes
- Deep Learning in Remote Sensing•60 minutes
- Thank You and Next Steps•10 minutes
2 assignments•Total 40 minutes
- Introduction•10 minutes
- Data Archives & Access and Processing Services•30 minutes
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Reviewed on Jan 24, 2022
The course itself is fine. But maybe the topic is a bit niche and difficult to have peers can timely evaluate the written assignment(s). Say at least a week's time.
Reviewed on Mar 26, 2021
As a space engineering student I found this course very interesting and helpful.
Reviewed on Dec 29, 2021
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
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