Units
1. Introduction to Artificial Intelligence and Safety-Critical Verification Discipline in Aerospace
2. Conceptual Design, Requirements Management and Tradeoff Analysis
3. Rapid Design Exploration with Aerodynamics, CFD and Surrogate Models
4. Structural Analysis, Material Selection and Topology Optimization
5. Flight Dynamics, Control Systems and Autonomy
6. Predictive Maintenance, Fleet Health Management and PHM
7. Flight Testing, Telemetry and Flight Data Analysis
8. Space Missions: Orbit, Mission Planning and Autonomous Spacecraft
9. Production, Quality Control and Supply Chain
10. Certification, Safety Analysis and Production of Evidence in Compliance with Standards
11. Digital Twin, Ethics, Export Control and Responsible Use
Unit 10 / 11
Certification, Safety Analysis and Production of Evidence in Compliance with Standards
Gains:
- Know where AI can be used to produce evidence required by standards such as ARP4754A, DO-178C, DO-254 and DO-326A
- Ability to apply AI support in safety analysis (FHA, FMEA, FTA) and requirements traceability
- Ability to ensure that certification outputs are auditable, traceable and human-approved