Toggle navigation
Skill-UP: Skilling and reskiling in the future Air Transport
Home
Enroll
Access to Course
Menu secondario
Professor
Syllabus
Concept map
Didactic plan
Exam Guide
Agenda
Learning Environment
Videolessons
Slides
Books and Articles
Multimedia
Bibliography
Siteography
Laboratory
Interactive exercises
Exercises
Tutor
HOW TO COPE WITH STRESS AND CHANGE TO FIT IN FUTURE ROLES
Artificial intelligence and machine learning for aviation applications
Video professors:
Jason Gauci -
Videolesson
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
Jason Gauci
Lesson n. 3:
ML TECHNIQUES AND ALGORITHMS - PART 1
The ML model lifecycle
Supervised learning
Unsupervised learning
Reinforcement learning
Hybrid ML
Jason Gauci
Lesson n. 4:
ML TECHNIQUES AND ALGORITHMS - PART 2
Simple linear regression
Artificial Neural Networks
k-means clustering
Q-learning
Implementation challenges
Jason Gauci
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
Jason Gauci
Lesson n. 6:
TOWARDS TRUSTWORTHY AI
Explainability
Safety & certification
Cybersecurity
Bias
Privacy & data governance
Promotion of trustworthy AI
Jason Gauci
Lesson n. 7: Final test