HOW TO COPE WITH STRESS AND CHANGE TO FIT IN FUTURE ROLES

Artificial intelligence and machine learning for aviation applications



Slides

Lesson n. 1: Questionnaires Entry
Lesson n. 2: AN INTRODUCTION TO AI AND ML
   What is AI and ML?

   A brief history of AI and ML

   Enablers of AI and ML

   Capabilities of AI and ML

   Applications of AI and ML
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Lesson n. 3: ML TECHNIQUES AND ALGORITHMS - PART 1
   The ML model lifecycle

   Supervised learning

   Unsupervised learning

   Reinforcement learning

   Hybrid ML
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Lesson n. 4: ML TECHNIQUES AND ALGORITHMS - PART 2
   Simple linear regression

   Artificial Neural Networks

   k-means clustering

   Q-learning

   Implementation challenges
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Lesson n. 5: CURRENT AND EMERGING APPLICATION OF ML IN AVIATION
   ML for aircraft design and manufacturing

   ML for aircraft operations and maintenance

   ML for ATM and ATC

   ML for airport operations

   ML for drones and U-space
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Lesson n. 6: TOWARDS TRUSTWORTHY AI
   Explainability

   Safety & certification

   Cybersecurity

   Bias

   Privacy & data governance

   Promotion of trustworthy AI
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Lesson n. 7: Final test