The course consists of 12 hours of lectures and aims to provide the main elements related to artificial intelligence-based techniques applied to the modeling of complex dynamic systems.
Date:
Event location: Online event
Mandatory registration (by June 5th) must be completed using the following link: https://forms.gle/UmEpWbgigT25CWL17
The course will be held online and includes a final assessment.
MODULES:
1) Introduction to Deep Learning (Dr. Rundo, Prof. Tallarico): from models of biological neurons to early neural networks, soft computing, learning algorithms and methodologies, intelligent hierarchical structures, bio-inspired architectures, and architectures of modern artificial intelligence systems
2) Deep Learning: advances and applications (Dr. Rundo, Prof. Tallarico): hybrid and perceptive AI algorithms, salience and perception, attention mechanisms, comparison between convolutional networks and transformers, reinforcement learning, and applications of artificial intelligence in the automotive, medical, and industrial sectors
3) Stochastic Geometry and its applications (Prof. Zabini): Point Process Theory, examples and applications to wireless communications and other areas of engineering (random sampling, sensor networks, environmental monitoring, crowd-sensing)
4) Data driven learning of road users' behavior (Prof. Falcone): development of data-driven tools that predict the behavior of human road users in traffic scenarios, for autonomous driving applications
5) Artificial Intelligence for Stylistic Design Engineering (Prof. Frizziero): AI-driven stylistic applications in Automotive, Health, Industrial Mechanics, and Plant Design
CALENDAR:
Module 1: 10/06/2025 10:00-13:00
Module 2: 11/06/2025 10:00-12:00
Module 3: 12/06/2025 10:00-12:30
Module 4: 12/06/2025 14:00-16:00
Module 5: 16/06/2025 14:00-16:30