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⇱ Digitalisation in Space Research | Coursera


Digitalisation in Space Research

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Digitalisation in Space Research

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Gain insight into a topic and learn the fundamentals.
4.8

107 reviews

Intermediate level
Some related experience required
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.8

107 reviews

Intermediate level
Some related experience required
1 week to complete
at 10 hours a week
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 assignments¹

AI Graded see disclaimer
Taught in English

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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

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 videosTotal 25 minutes
  • Introduction to Munich Aerospace2 minutes
  • Introduction to the Technical University of Munich 3 minutes
  • Digital Transformation16 minutes
  • Which impact has digitalisation on your life?3 minutes
  • What are the risks of digitalisation for aerospace research?2 minutes
2 readingsTotal 20 minutes
  • Munich Aerospace’s e-learning program10 minutes
  • Munich Aerospace - who we are10 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 videosTotal 86 minutes
  • Introductory words2 minutes
  • Introduction15 minutes
  • Space Based Products & Services26 minutes
  • Development, Production & Operations28 minutes
  • Risks & Threats15 minutes
1 readingTotal 30 minutes
  • Space Perspective on Tech Trends 201930 minutes
2 assignmentsTotal 90 minutes
  • Introduction30 minutes
  • Risks & Threats60 minutes
2 peer reviewsTotal 120 minutes
  • Development, Production & Operations60 minutes
  • Space Based Products & Services60 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 videosTotal 89 minutes
  • Civil Aviation Market13 minutes
  • Classical and Performance Based Navigation20 minutes
  • Satellite Navigation (GNSS): A Solution for everything?19 minutes
  • Relying on GNSS?25 minutes
  • Current Performance and Way forward13 minutes
2 readingsTotal 120 minutes
  • Advanced Receiver autonomous Integrity monitoring for Aircraft Guidance using GNSS60 minutes
  • European ATM Master Plan 202060 minutes
3 assignmentsTotal 30 minutes
  • Civil aviation market10 minutes
  • Classical and Performance-Based Navigation10 minutes
  • Current Performance and Way forward10 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 videosTotal 74 minutes
  • Introduction of the Course Lecturers2 minutes
  • Learning Objectives3 minutes
  • Introduction5 minutes
  • Data Sources24 minutes
  • Data Archives & Access and Processing Services14 minutes
  • Analysis - AI4EO25 minutes
2 readingsTotal 70 minutes
  • Deep Learning in Remote Sensing60 minutes
  • Thank You and Next Steps10 minutes
2 assignmentsTotal 40 minutes
  • Introduction10 minutes
  • Data Archives & Access and Processing Services30 minutes

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Instructors

Instructor ratings
4.7 (32 ratings)
Technical University of Munich (TUM)
4 Courses27,981 learners

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Learner reviews

  • 5 stars

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Showing 3 of 107

SY
·

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.

EB
·

Reviewed on Mar 26, 2021

As a space engineering student I found this course very interesting and helpful.

LL
·

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

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.