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 23 courses of the 2023/2024 academic year are divided into base, intermediate or advanced levels that you can access based on your previous skills. All courses Pilot CoursesMatematica per AI in pilloleData science in PilloleAI in pilloleBased CoursesMachine learning embedded in small-scale devicesTechnologies and robotics for inclusion in Schools and UniversitiesArtificial intelligence and administrative activitiesScientific text formatting through LaTexFacial recognition technologies: legal profiles and practical issuesAlgorithms and Public Administration: Civil ProtectionEnergy transition: renewable energy diffusion and challenges in smart grid managementOcean data & machine learning procedures: observing, analyzing, and utilizing sea dataAI in smart cities: evidence-based local policiesDigital revolution in Public Administration: future scenarios and challenges in the age of artificial intelligenceFrom botany to big data: data education at workMachine learning and image-based procedures for seismic risk reductionIntermediate CoursesIntroduction 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 applicationsAdvanced CoursesSoluzioni digitali per monitorare e controllare in modo ottimale le risorse energetiche distribuite in un ambiente microgridSynergistic approaches between meteomarine modeling and ai for improved weather and marine predictionsClustering algorithms and selection of significant meteomarine stateA trip to Jupyter: introduction to the ecosystem Jupyter NotebookIntroduzione all’internet delle cose (Internet of Things) Presentation video Image 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. Contact For more information: formazione.raise@unige.it
