Artificial intelligence for science and technology — Università degli Studi di Milano-Bicocca, Milano

Il piano degli esami

1° anno

• Advanced foundations of physics for ai — 6 CFU
• Advanced foundations of artificial intelligence — 12 CFU
• Advanced foundations of mathematics for ai — 6 CFU
• Advanced foundations of statistics for ai — 6 CFU
• 30 CFU Area to be chosen - 1st year (scegli 30 CFU): Advanced data management and decision support systems 6 CFU; SYSTEMS FOR INDUSTRY 4.0 AND ENVIRONMENT (IoT) 6 CFU; Advanced artificial intelligence, machine learning and deep learning 6 CFU; Sensing and vision for industry and environment 12 CFU; Embedded systems architectures and design 6 CFU; Ambient intelligence 12 CFU; Signal and imaging acquisition and modelling in healthcare 6 CFU; Machine learning for modelling 12 CFU; Advanced computational techniques for big imaging and signal data 6 CFU; Signal and imaging acquisition and modelling in environment 6 CFU; Foundations of quantum computing 6 CFU; Statistical learning 6 CFU; Ai models for physics 6 CFU
• Free choice of the student (scegli 12 CFU): Intelligent monitoring and control systems 6 CFU; Environmental monitoring 6 CFU; Privacy and data protection 6 CFU; Embedded systems for biomedical applications 6 CFU; Artificial vision 6 CFU; Intelligent consumer technologies 6 CFU; Physical sensors and systems for environmental imaging 6 CFU; Physical sensors and systems for biomedical imaging 6 CFU; Physical sensors and systems for environmental signals 6 CFU; Physical sensors and systems for biomedical signals 6 CFU; Advanced statistical mechanics and disordered systems 6 CFU; Statistical mechanics of neural networks 6 CFU; High-perfomance computing for ai applications in physics 6 CFU; Quantum information and algorithms 6 CFU; Quantum simulation 6 CFU; Ai models for physics 6 CFU; Advanced artificial intelligence, machine learning and deep learning 6 CFU; Advanced computational techniques for big imaging and signal data 6 CFU; Sensing and vision for industry and environment 12 CFU; Embedded systems architectures and design 6 CFU; SYSTEMS FOR INDUSTRY 4.0 AND ENVIRONMENT (IoT) 6 CFU; Foundations of quantum computing 6 CFU; Signal and imaging acquisition and modelling in healthcare 6 CFU; Statistical learning 6 CFU; Signal and imaging acquisition and modelling in environment 6 CFU; Advanced data management and decision support systems 6 CFU; Ambient intelligence 12 CFU; Machine learning for modelling 12 CFU; Chosen activities taken during the erasmus period - 8 CFU; Chosen activities taken during the erasmus period - 4 CFU

2° anno

• Stage — 6 CFU
• Advanced foundations of law and regulations in privacy and data protection — 6 CFU
• Data-driven organizations and management — 6 CFU
• Final examination — 21 CFU
• Further linguistic knowledge (scegli 3 CFU): Further linguistic knowledge - french - B2 level (or higher) 3 CFU; Further linguistic knowledge - german - B2 level (or higher) 3 CFU; Further linguistic knowledge - italian - A2 level (or higher) 3 CFU; Further linguistic knowledge - english - C1 level (or higher) 3 CFU; Further linguistic knowledge - spanish - B2 level (or higher) 3 CFU
• 6 CFU Area to be chosen - 2nd year (scegli 6 CFU): Intelligent monitoring and control systems 6 CFU; Privacy and data protection 6 CFU; Environmental monitoring 6 CFU; Embedded systems for biomedical applications 6 CFU; Intelligent consumer technologies 6 CFU; Artificial vision 6 CFU; Physical sensors and systems for environmental signals 6 CFU; Physical sensors and systems for biomedical signals 6 CFU; Physical sensors and systems for environmental imaging 6 CFU; Physical sensors and systems for biomedical imaging 6 CFU; Statistical mechanics of neural networks 6 CFU; Quantum information and algorithms 6 CFU; Advanced statistical mechanics and disordered systems 6 CFU; Quantum simulation 6 CFU; High-perfomance computing for ai applications in physics 6 CFU
• Extra courses - according to (facoltativo): Physical sensors and systems for biomedical imaging 6 CFU; Environmental monitoring 6 CFU; Physical sensors and systems for environmental imaging 6 CFU; Privacy and data protection 6 CFU; Signal and imaging acquisition and modelling in environment 6 CFU; Sensing and vision for industry and environment 12 CFU; Quantum information and algorithms 6 CFU; SYSTEMS FOR INDUSTRY 4.0 AND ENVIRONMENT (IoT) 6 CFU; Advanced statistical mechanics and disordered systems 6 CFU; Embedded systems architectures and design 6 CFU; Physical sensors and systems for environmental signals 6 CFU; Physical sensors and systems for biomedical signals 6 CFU; Intelligent monitoring and control systems 6 CFU; High-perfomance computing for ai applications in physics 6 CFU; Advanced computational techniques for big imaging and signal data 6 CFU; Ai models for physics 6 CFU; Machine learning for modelling 12 CFU; Intelligent consumer technologies 6 CFU; Statistical learning 6 CFU; Artificial vision 6 CFU; Advanced artificial intelligence, machine learning and deep learning 6 CFU; Signal and imaging acquisition and modelling in healthcare 6 CFU; Ambient intelligence 12 CFU; Quantum simulation 6 CFU; Advanced data management and decision support systems 6 CFU; Foundations of quantum computing 6 CFU; Embedded systems for biomedical applications 6 CFU; Statistical mechanics of neural networks 6 CFU