Technical University of Munich (TUM)

Digitalisation in Space Research

This course is part of Digitalisation in Aeronautics and Space Specialization

Taught in English

Some content may not be translated

Klaus Drechsler
Guenter W. Hein

Instructors: Klaus Drechsler

4,271 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.8

(88 reviews)

Intermediate level
Some related experience required
12 hours (approximately)
Flexible schedule
Learn at your own pace

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.

Details to know

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Assessments

7 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.8

(88 reviews)

Intermediate level
Some related experience required
12 hours (approximately)
Flexible schedule
Learn at your own pace

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This course is part of the Digitalisation in Aeronautics and Space Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

Dr. Peter Weckesser provides insights into digitalisation processes from the manufacturing perspective, discussing approaches taken with the new digital workflows.

What's included

3 videos

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 quizzes2 peer reviews

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 quizzes

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 videos1 reading2 quizzes

Instructors

Instructor ratings
4.7 (30 ratings)
Klaus Drechsler
Technical University of Munich (TUM)
4 Courses17,950 learners

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