Anno Accademico : 2022/2023
| Codice Insegnamento | Denominazione Insegnamento | Numero di questionari |
|---|---|---|
| F9102Q001 | ADVANCED FOUNDATIONS OF MATHEMATICS FOR AI | |
| F9102Q002 | ADVANCED FOUNDATIONS OF STATISTICS FOR AI | |
| F9102Q003 | ADVANCED FOUNDATIONS OF PHYSICS FOR AI | |
| F9102Q004 | ADVANCED FOUNDATIONS OF ARTIFICIAL INTELLIGENCE | |
| F9102Q007 | SYSTEMS FOR INDUSTRY 4.0 AND ENVIRONMENT (IoT) | |
| F9102Q008 | ADVANCED DATA MANAGEMENT AND DECISION SUPPORT SYSTEMS | |
| F9102Q009 | ADVANCED ARTIFICIAL INTELLIGENCE, MACHINE LEARNING AND DEEP LEARNING | |
| F9102Q012 | EMBEDDED SYSTEMS ARCHITECTURES AND DESIGN | |
| F9102Q015 | ADVANCED COMPUTATIONAL TECHNIQUES FOR BIG IMAGING AND SIGNAL DATA | |
| F9102Q016 | SIGNAL AND IMAGING ACQUISITION AND MODELLING IN HEALTHCARE | |
| F9102Q017 | SIGNAL AND IMAGING ACQUISITION AND MODELLING IN ENVIRONMENT | |
| F9102Q022 | AI MODELS FOR PHYSICS | |
| F9102Q023 | STATISTICAL LEARNING | |
| F9102Q024 | QUANTUM SIMULATION | |
| F9102Q029 | SENSING AND VISION FOR INDUSTRY AND ENVIRONMENT | |
| F9102Q030 | AMBIENT INTELLIGENCE | |
| F9102Q031 | MACHINE LEARNING FOR MODELLING |