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 6 / 11
Predictive Maintenance, Fleet Health Management and PHM
Gains:
- Ability to create PHM workflow that produces prognostics from aircraft and engine sensor data with AI
- Ability to interpret remaining useful life (RUL) estimation and anomaly detection with sample data
- Ability to validate maintenance decisions in terms of false alarm cost, confidence interval and regulation