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Klaus Drechsler and Guenter W. Hein

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.

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What's inside

Syllabus

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.
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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).

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces the use of artificial intelligence in the evaluation of satellite data
Examines digitalisation in the field of aerospace research
Led by Klaus Drechsler and Guenter W. Hein, both esteemed professors with expertise in the aerospace field
Investigates the impacts of digitalisation on satellite-based and manned spaceflight research
Includes a specific unit devoted to artificial intelligence in the evaluation of satellite data

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Reviews summary

Enlightening space digitalization

Learners say this course titled Digitalisation in Space Research is outstanding with a well-designed curriculum and informative videos. Students who are pursuing a career in the space industry and are interested in digitalization found this course particularly helpful.
Useful for space industry professionals
"As a space tech start-up I found this course very interesting and helpful."
"As a space engineering student I found this course very interesting and helpful."
In-depth and engaging course
"The course itself is fine."
"Brilliant course."
"The course has really great curriculum."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Digitalisation in Space Research with these activities:
Review prerequisites
Develop a robust understanding of the fundamental concepts and principles that serve as building blocks for the course.
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  • Revisit foundational concepts in aerospace engineering and satellite technology.
  • Review basic principles of digitalisation and its applications in other industries.
Review Time Series Analysis
Review the principles of Time Series Analysis to strengthen your foundational knowledge for this course.
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  • Read through your class notes or textbooks on Time Series Analysis.
  • Work through practice problems and exercises related to Time Series Analysis.
  • Attend a review session or workshop on Time Series Analysis.
Review minimal knowledge of computer programming
This course may use programming tools and services that may be new to you. This short session can help close any knowledge gap.
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  • Review variables and data types in any programming language you are comfortable with
  • Refresh your knowledge on writing conditional statements
  • Review programming loops and how to use them
12 other activities
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Read a book on the basics of satellite technology
This course assumes some basic knowledge of satellite technology. Reading this book can help you gain this knowledge or refresh what you know.
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  • Read the book and take notes on key concepts
  • Complete any exercises or review questions in the book
Watch a tutorial on using GNSS data
This course will introduce GNSS technology. Watching a separate tutorial on this topic can significantly add to your understanding.
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  • Find a tutorial on YouTube or any reputable video source
  • Watch the tutorial and take notes on key concepts
Explore advanced GNSS applications
Deepen understanding of the capabilities and limitations of GNSS technology and its applications in efficient and flexible air navigation.
Show steps
  • Identify the challenges and limitations of conventional navigation systems for air traffic management.
  • Investigate the principles and architecture of GNSS and its role in enhancing navigation accuracy and efficiency.
  • Explore advanced GNSS applications, such as performance-based navigation (PBN) and area navigation (RNAV).
Practice solving exercises on satellite data evaluation
There may be quizzes and assignments based on satellite data evaluation. Practicing this skill will help you prepare.
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  • Find example exercises online or in textbooks
  • Work through the exercises and check your answers
Solve GNSS navigation problems
Develop problem-solving skills and reinforce understanding of GNSS navigation principles through practical exercises.
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  • Practice solving navigation problems using GNSS data and algorithms.
  • Analyze navigation errors and identify sources of inaccuracies.
  • Simulate different GNSS scenarios and evaluate navigation performance.
Compile a list of online resources on space research
This course can help you gain a solid understanding of the field of space research. Compiling a list of online resources on your own can broaden your knowledge and encourage you to explore the subject further.
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  • Search for online resources on space research
  • Evaluate the resources for accuracy and reliability
  • Organize the resources into a list or database
Develop a digital transformation plan
Apply knowledge of digital transformation strategies and practices to develop a comprehensive plan for a specific space-related project or organization.
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  • Identify the current challenges and opportunities for digital transformation in the space industry.
  • Develop a roadmap for implementing digital technologies and processes to address these challenges and leverage opportunities.
  • Create a plan for monitoring and evaluating the progress and impact of the digital transformation initiative.
Create a presentation on the potential applications of AI in the space industry
The role of artificial intelligence in the future of the space industry will be discussed in this course. This project can help you explore this topic in depth.
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  • Research the current and potential applications of AI in the space industry
  • Organize your research into a logical flow
  • Create visuals and other multimedia elements to support your presentation
  • Practice delivering your presentation
Attend a workshop on AI in the space industry
This course will introduce you to the role of AI in the space industry. Attending a workshop can provide you with hands-on experience and networking opportunities.
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  • Research upcoming workshops on AI in the space industry
  • Register for a workshop that fits your schedule and interests
  • Attend the workshop and participate actively
Mentor junior students or professionals
Strengthen understanding of course concepts and improve communication skills by mentoring others and providing guidance on topics related to the course.
Show steps
  • Identify opportunities to mentor junior students or professionals in the field.
  • Provide guidance and support on topics related to digital aerospace research.
  • Answer questions and facilitate discussions to enhance understanding and retention.
Contribute to an open-source project related to space research
This course covers the theoretical foundations of space research. Contributing to an open-source project in this field can provide you with practical experience.
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Show steps
  • Identify an open-source project related to space research that interests you
  • Review the project documentation and code
  • Identify an area where you can contribute
  • Write code or documentation and submit a pull request
Contribute to open-source projects
Gain practical experience in digital aerospace research and contribute to the community by participating in open-source projects.
Show steps
  • Identify open-source projects related to digital aerospace research.
  • Contribute to the project by writing code, fixing bugs, or improving documentation.
  • Collaborate with other developers and learn from their expertise.

Career center

Learners who complete Digitalisation in Space Research will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists analyze data to extract insights and trends. They use their findings to help businesses make better decisions. Data Scientists typically have a strong background in mathematics, statistics, and computer science. Taking Digitalisation in Space Research may be useful for this role as it provides the foundational knowledge and skills needed to analyze and interpret large datasets. The course also covers the use of artificial intelligence in the evaluation of satellite data, which is a valuable skill for Data Scientists in this field.
Navigation Systems Engineer
Navigation Systems Engineers design, develop, and test navigation systems for aircraft, spacecraft, and other vehicles. Navigation Systems Engineers typically have a strong background in electrical engineering, computer science, or mathematics. Taking Digitalisation in Space Research may be useful for this role as it provides the foundational knowledge and skills needed to work with navigation systems. The course also covers the use of artificial intelligence in the evaluation of satellite data, which is a valuable skill for Navigation Systems Engineers.
Systems Engineer
Systems Engineers design, develop, and test systems. Systems Engineers typically have a strong background in engineering or computer science. Taking Digitalisation in Space Research may be useful for this role as it provides the foundational knowledge and skills needed to design, develop, and test systems. The course also covers the use of artificial intelligence in the evaluation of satellite data, which is a valuable skill for Systems Engineers in this field.
Project Manager
Project Managers are responsible for planning, organizing, and executing projects. Project Managers typically have a strong background in business administration, engineering, or computer science. Taking Digitalisation in Space Research may be useful for this role as it provides the foundational knowledge and skills needed to manage projects in the space industry. The course also covers the use of artificial intelligence in the evaluation of satellite data, which is a valuable skill for Project Managers in this field.
Earth Observation Scientist
Earth Observation Scientists use satellite data to study the Earth's environment and resources. They use their findings to help policymakers make decisions about how to protect the environment and manage resources. Taking Digitalisation in Space Research may be helpful for this role as it provides the specialized knowledge and skills needed to work with satellite data. The course also covers the use of artificial intelligence in the evaluation of satellite data, which is a valuable skill for Earth Observation Scientists.
Software Developer
Software Developers design, develop, and test software applications. Software Developers typically have a strong background in computer science or mathematics. Taking Digitalisation in Space Research may be useful for this role as it provides the foundational knowledge and skills needed to develop software applications for the space industry. The course also covers the use of artificial intelligence in the evaluation of satellite data, which is a valuable skill for Software Developers in this field.
Satellite Communications Engineer
Satellite Communications Engineers design, develop, and test satellite communications systems. Satellite Communications Engineers typically have a strong background in electrical engineering, computer science, or mathematics. Taking Digitalisation in Space Research may be useful for this role as it provides the foundational knowledge and skills needed to work with satellite communications systems. The course also covers the use of artificial intelligence in the evaluation of satellite data, which is a valuable skill for Satellite Communications Engineers.
Remote Sensing Analyst
Remote Sensing Analysts use satellite data to study the Earth's environment and resources. They use their findings to help businesses and organizations make better decisions about where to locate facilities, how to manage resources, and how to plan for the future. Taking Digitalisation in Space Research may be useful for this role as it provides the foundational knowledge and skills needed to work with satellite data. The course also covers the use of artificial intelligence in the evaluation of satellite data, which is a valuable skill for Remote Sensing Analysts.
Geospatial Analyst
Geospatial Analysts use geographic information systems (GIS) to analyze spatial data. They use their findings to help businesses and organizations make better decisions about where to locate facilities, how to manage resources, and how to plan for the future. Taking Digitalisation in Space Research may be useful for this role as it provides the foundational knowledge and skills needed to work with GIS. The course also covers the use of artificial intelligence in the evaluation of satellite data, which is a valuable skill for Geospatial Analysts.
Research Scientist
Research Scientists conduct research to advance scientific knowledge. They typically have a strong background in science, engineering, or mathematics. Taking Digitalisation in Space Research may be useful for this role as it provides the specialized knowledge and skills needed to conduct research in the field of space exploration.
Aerospace Engineer
Aerospace Engineers apply their knowledge to the design, development, testing, and operation of aircraft, spacecraft, satellites, and other aerospace systems. Engineers may work in research and development, design, or manufacturing. Taking Digitalisation in Space Research may be useful for this role as it provides the foundational knowledge and skills needed in this field.
Mission Specialist
Mission Specialists are responsible for operating and maintaining spacecraft, conducting experiments, and carrying out other tasks in space. Mission Specialists typically have a strong background in science, engineering, or mathematics. Taking Digitalisation in Space Research may be helpful for this role as it provides the specialized knowledge and skills needed to successfully operate and maintain spacecraft.
Payload Specialist
Payload Specialists are responsible for operating and maintaining experiments and other payloads on spacecraft. Payload Specialists typically have a strong background in science or engineering. Taking Digitalisation in Space Research may be helpful for this role as it provides the specialized knowledge and skills needed to successfully operate and maintain experiments and other payloads on spacecraft.
Spacecraft Systems Engineer
Spacecraft Systems Engineers design, develop, and test spacecraft systems. Spacecraft Systems Engineers typically have a strong background in mechanical engineering, electrical engineering, or computer science. Taking Digitalisation in Space Research may be useful for this role as it provides the specialized knowledge and skills needed to successfully design, develop, and test spacecraft systems.
Astronaut
Astronauts are responsible for operating, repairing, and maintaining spacecraft, conducting experiments, and carrying out other tasks in space. Astronauts must have a strong background in science, engineering, and mathematics. Taking Digitalisation in Space Research may be useful for this role as it provides the specialized knowledge and skills needed to successfully operate and maintain spacecraft.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Digitalisation in Space Research.
Provides a comprehensive overview of satellite communications systems. It covers a wide range of topics, including the basics of satellite communications, satellite link design, and satellite network architectures.
Provides an overview of the use of artificial intelligence in the space industry. It covers a wide range of topics, including the use of AI in satellite image processing, spacecraft navigation, and mission planning.
Provides a comprehensive overview of astrodynamics. It covers a wide range of topics, including orbital mechanics, spacecraft navigation, and mission design.
Provides a comprehensive overview of space dynamics. It covers a wide range of topics, including orbital mechanics, spacecraft navigation, and mission design.
Provides a comprehensive overview of spacecraft dynamics and control. It covers a wide range of topics, including spacecraft attitude control, orbit determination, and spacecraft navigation.
Provides a comprehensive overview of spacecraft propulsion and power. It covers a wide range of topics, including rocket propulsion, electric propulsion, and spacecraft power systems.

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