GDST Space Tech

Hosted by Sutton High School and managed across multiple participating GDST Computer Science departments, the initiative aims to focus on the computer science related disciplines of automotive, aeronautical, communication, electronics, data analysis and automated robotic programming technologies in the space science domain. By programming reduced concept applications, the aim is for adjacent elements of mathematics, physics, astronomy, survival medical and the chemical, biological and geological aspects of planetary science, to amalgamate at an A-Level standard and with the end goal of supporting essential requirements engineering skills being honed by participating computer science students.

Space Technology requirements engineering addresses essential, multifaceted space domain knowledge needed by programmers to fully understand the functions of the program they are constructing, in order for the program to reach its intended targets in and from space. It also addresses what is expected of programmers in terms of independent research, in order to deliver what is asked of them, as the program application designer and developer.

Read more about GDST Space Tech here.

Did you hear?

• Royal Society recognises Sutton High with STEM Partnership Grant Award
• Award Success for Year 12 Kiyara W in STEM Computer Science at SHS
• The Cambridge Univeristy Space Flight Team Hosts Sutton High Students
• Sutton High Students Launch Royal Society Research Rocket
• Congratulations to Sutton High’s Space Technology Diploma Candidates
• Sutton High girls given lessons in rocket science
• The Girls take the Lead in GDST Space Tech Mentorship & Demonstration

About GDST Space Tech

Computer Science for Space Technology: Anticipated Curriculum Outline 2022-2023

The foundations of our programme curriculum encourage computer science-specific skills to be more purposefully honed for the space industry and ultimately, to target abilities desired for industry-level internship experiences:

Unit 1: Payload Instrument Telemetry and Data Representation (Rover & Airborne)

Simulated Payload Operations and OOP for Automation and Logging of Data Collection Input/Output

Unit 2: Earth Observation Data Visualisation

Data Analysis and Machine Learning Prediction Models for Available Earth Data

Unit 3: Remote Sensing & Image Recognition

Physical Sensor/Imager Data Collection, Data Classification Methods and Predictive Machine Learning

Unit 4: Remote Device Optimisation Algorithms

Airborne/Rover Device & Device Payload Design: Measuring Integrated Powering/Weight/Force Constraints

Unit 5: Building and Deploying Automated Cloud Infrastructure for Sensor Data Processing and Storage

Cloud Application Architecture to Configure, Automate, Receive and Process Data Collection

Final Project: Software Design for Space Technology

Creation of full OOP Software Program/Data Science Model to Assist with a Space Technology Proposal

Requirements Engineering Skills for Space Technology Computer Programming

Support is offered to our students throughout the year for understanding technology-based requirements and wider space science aspects, encompassing device programming and operation in the space domain. A trial, tailored portal of the NASA STEM Digital Badges learning platform has been offered for our pilot programme, operated internationally by the NASA STEM Engagement & Educator Professional Development Collaborative (EPDC) based at Texas State University.

NASA STEM Engagement and Educator Professional Development – Texas State University