ICT Engineering for Smart Societies — Politecnico di Torino, Torino

Il piano degli esami

1° anno

• Machine learning and neural networks — 6 CFU
• Machine learning for health — 6 CFU
• Programming for IoT applications — 6 CFU
• Management and content delivery for Smart Networks: algorithms and modelling — 12 CFU
• Mobile and sensor networks — 6 CFU
• Operational research: theory and applications — 8 CFU
• Satellite Systems for Positioning and Maps — 6 CFU
• Elective courses (scegli 12 CFU):

2° anno

• ICT for smart mobility — 6 CFU
• Intelligent building optimisation — 6 CFU
• Smart grids — 6 CFU
• Interdisciplinary projects — 10 CFU
• Advanced machine learning for imaging and vision oppure Applied Information Security and Cryptography oppure Innovative wireless platforms for the internet of things (scegli 6 CFU): Advanced machine learning for imaging and vision 6 CFU; Applied Information Security and Cryptography 6 CFU; Innovative wireless platforms for the internet of things 6 CFU
• Internship oppure Thesis oppure Thesis (scegli 24 CFU): Internship 12 CFU; Thesis 12 CFU; Thesis 24 CFU