Programme Summary:   

Explore how artificial intelligence and numerical modelling can help us understand the physical world around us, providing insights on the behaviour of complex systems and giving us predictive capability.

 Learning Outcomes:

1. Acquire working knowledge of the basics of artificial intelligence and machine learning algorithms
2. Gain experience in mathematical and numerical modelling of complex phenomena
3. Develop critical thinking in assessing the predictions of numerical models

 Lecturer(s):

Dr. G Tribello, Dr. M. Streeter, Prof. G. Sarri

 School Programme 

Day 1: School Welcome and Introduction

Day 2: Basics of artificial intelligence and machine learning

Day 3: Basics of artificial intelligence and machine learning

Day 4: Examples of machine learning and AI applications

Day 5: Examples of machine learning and AI applications

Day 6: Machine learning and AI applications in everyday life

Day 7: Assessment 1: presentation

Day 8: An Introduction to atmospheric modelling

Day 9: An Introduction to atmospheric modelling

Day 10: Assessment 2: presentation

Assessment:

Assessment will involve the following elements.

*Please note: this is a draft programme and is subject to change.