Artificial Intelligence for Aerospace Engineering

Each week will consist of one 2-hour frontal lecture and one 2-hour coding laboratory. During the laboratory sessions, the instructors will guide the students in the hands-on application of what learnt in class to real world problems in Aerospace Engineering.

This course will cover the following topics in 6 weeks:

- Regression

- Data Reduction

- Classification

- Clustering

- Artificial Neural Networks

In the last week of the course, field experts will be invited as external lecturers to discuss relevant present-day topics in Artificial Intelligence for Aerospace Engineering, including but not limited to:

- Ethical Issues in Artificial Intelligence;

- Machine Learning and Certification;

- Sustainability and Machine Learning.