Software and Data for Space

Course Overview 

Discover how to retrieve, process, and analyse space data, including the applications of Artificial Intelligence and Machine Learning. 

• Course Name: Software & Data for Space
• SCQF Credit Level Equivalence: 10
• Prerequisites: Numerate degree and coding experience is recommended
• Total Hours: 30 hours study time 

Course Duration and Dates 

• Course Duration: 6 weeks online + 1 in-person workshop 

Course Summary 

This course covers various aspects of space data, including: 

• Data formats and levels
• Standard digital image processing
• Machine Learning (ML) and Artificial Intelligence (AI) applications
• Object detection
• Cloud-based processing (GEE, MSPC, AWS)
• Case studies on space data ethics 

Learning Outcomes 

By the end of this course, you will: 

• Be familiar with how satellite data is stored, distributed, and analysed both on desktops and in the cloud.
• Understand a variety of examples of how space data is utilised.
• Know the relevant industry standards, including jargon and terminology. 

Course Format 

• Synchronous Online Delivery: 6 weeks
  • Three online meetings throughout the course plus engagement with discussion boards
  • 3-4 hours of independent study per week
• Assessments: Formative assessments through weekly online quizzes and tests, including quantitative assessments, to provide feedback aligned with industry standards. 

Meet the Experts 

Course Leaders 

• Dr Gary Watmough
• Dr Stuart King
• Dr Sohan Seth
• Prof Iain Woodhouse
• Dr Qi Ou
• Dr Matjaz Vidmar
• Dr Devanjan Bhattacharya