Digital citizenship training RAISE The RAISE Citizenship Training Digital Courses are carried out as part of the P4|Basic AI & Robotics Skills at University Level project that is developed in the Training program of RAISE Liguria.The project is aimed at students at all university courses, but is also open to interested citizens, to increase awareness and autonomy in the use of advanced digital skills.At the end of the course an open badge will be issued to everyone and, to UniGe students, also 1 CFU.The goal of the training courses is to increase the level of awareness and boost the ability to use advanced digital skills, ensuring, regardless of the sector of specialization, the acquisition of sensitivity, culture and basic skills in Artificial Intelligence (AI) and Robotics.Teaching is provided through interactive videos on the platform RAISE Aulaweb that can be followed autonomously and in asynchronous mode.The 24 courses of the 2023/2024 academic year are divided into base, intermediate or advanced levels that you can access based on your previous skills. Base Level Courses Artificial intelligence and administrative activitiesAlgorithms and Public Administration: Civil ProtectionScientific text formatting through LaTexMachine learning embedded in small-scale devicesEnergy transition: renewable energy diffusion and challenges in smart grid managementOcean data & machine learning procedures: observing, analyzing, and utilizing sea dataFacial recognition technologies: legal profiles and practical issuesAI in smart cities: evidence-based local policiesDigital revolution in Public Administration: future scenarios and challenges in the age of artificial intelligenceTechnologies and robotics for inclusion in Schools and UniversitiesFrom botany to big data: data education at workMachine learning and image-based procedures for seismic risk reduction Intermediate Level Courses Introduction to dynamic cognitive systemsBusiness plan development for robotics and artificial intelligence (AI)From drone photogrammetry to virtual realityEnergy Harvesting (EH) and Internet of Things (IOT)Simulation, prediction, and control in energy system analysis: methodological aspects and applicationsDrones and autonomous navigation: models, properties and applications Intermediate Level Courses Introduction to dynamic cognitive systemsBusiness plan development for robotics and artificial intelligence (AI)From drone photogrammetry to virtual realityEnergy Harvesting (EH) and Internet of Things (IOT)Simulation, prediction, and control in energy system analysis: methodological aspects and applicationsDrones and autonomous navigation: models, properties and applications Coordinator Fabrizio Bracco Associate Professor in Work and Organizational Psychology at UniGe, provides methodological support for digital teaching at RAISE and is responsible for the BASIC AI & ROBOTICS SKILLS AT UNIVERSITY LEVEL project. Contatti Se hai bisogno di maggiori informazioni scrivici a: formazione.raise@unige.it
