- This course covers AI applications in aerospace engineering, focusing on autonomous flight systems, spacecraft design, and performance optimization. Aimed at aerospace engineers and students, the course provides AI-driven insights into improving aviation and space exploration.
- Level: Intermediate
- Prerequisites: Background in aerospace engineering or aviation technology.
- Assessments: Micro Assessment weekly, Full Assessment in the final week.
Week 1 - AI for Autonomous Flight Systems
Learning OutcomeLearn how AI is enabling autonomous flight and aircraft control.
1.1 AI-powered autopilot systems for airplanes.1.2 Machine learning models for real-time flight adjustments.
1.3 AI for navigation and collision avoidance in aviation.
Practical Component
Develop an AI-based autopilot system for an unmanned aircraft.
Week 2 - AI in Aircraft Design and Simulation
Learning OutcomeUnderstand how AI is used to optimize aircraft design and simulations.
2.1 AI for structural optimization and material selection in aircraft.2.2 Machine learning models for aerodynamic simulation.
2.3 AI-driven performance testing and optimization.
Practical Component
Build an AI model to simulate aircraft performance under various conditions
Week 3 - AI for Aerospace Systems Diagnostics and Maintenance
Learning OutcomeLearn how AI improves diagnostics and predictive maintenance in aerospace.
3.1 AI for real-time monitoring of aircraft systems.3.2 Predictive maintenance for engines and components.
3.3 Machine learning models for fault detection in aerospace systems.
Practical Component
Develop an AI-powered predictive maintenance system for aerospace systems.
Week 4 - AI in Spacecraft Navigation and Mission Control
Learning OutcomeExplore AI solutions for autonomous spacecraft navigation and mission operations.
4.1 AI for spacecraft trajectory planning and optimization.4.2 Machine learning models for space mission risk analysis.
4.3 AI-driven space station operations and control.
Practical Component
Design an AI-based solution for autonomous spacecraft navigation.
Week 5 - AI for Aerospace Manufacturing and Supply Chain
Learning OutcomeUnderstand how AI optimizes aerospace manufacturing and supply chains.
5.1 AI for material sourcing and inventory management.5.2 Machine learning for quality control in aerospace production.
5.3 AI-driven robotic systems for aerospace manufacturing.
Practical Component
Implement an AI solution to improve the efficiency of aerospace production.
Week 6 - Capstone Project and Assessment
Learning OutcomeApply AI to an aerospace engineering challenge.
6.1 Develop an AI-driven solution for aircraft design, diagnostics, or spacecraft navigation.6.2 Peer assessment and feedback.
6.3 Final project presentation and evaluation.
Practical Component
Present an AI-based aerospace project demonstrating its application in real-world scenarios.