CODE 113550 ACADEMIC YEAR 2024/2025 CREDITS 1 cfu anno 1 FORMAZIONE ALLA CITTADINANZA 10790 () - GENOVA TEACHING LOCATION GENOVA SEMESTER Annual TEACHING MATERIALS AULAWEB OVERVIEW 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 acquired CFU will result as an additional CFU (free) in the Supplement Diploma. The CFU can also be recognised by the study course as curricular CFU, mainly as other activities, where they are considered important for the achievement of the stated educational goals: in this case, the student must request it to their One-Stop Shop via mail, attaching ID. The study course will decide whether to accept the request and vary the study plan. AIMS AND CONTENT LEARNING OUTCOMES The goal of the training courses on the topics of AI and Robotics 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. AIMS AND LEARNING OUTCOMES Beginner level Course. Training students in understanding the use of decision support system tools for local policies supported by AI technologies. PREREQUISITES None TEACHING METHODS Teaching is provided through interactive videos on the platform RAISE Aulaweb that can be followed autonomously and in asynchronous mode. The Course has a total duration of 25 hours, divided into modules of about 30 minutes. The teaching, designed by experienced teachers aided by educational innovation experts, is divided into: Distributed didactic (4 hours) Quizzes, games, and exercises (4 hours) Self-learning: reading and use of in-depth materials such as articles, videos, sites, etc. recommended by the teacher (17 hours). At the end of the course, a questionnaire will be available to determine the degree of satisfaction of the course. The training courses will be accessible without limitation. SYLLABUS/CONTENT Concept of Smart City Smart local policies Evidence based policies Urban dashboards as a tool to support local policies Using AI in Urban Dashboards The potential impact of the use of AI in local policy decisions and ethical considerations related to the use of advanced technologies in the urban environment TEACHERS AND EXAM BOARD RENATA DAMERI Ricevimento: Tuesday 9:30 Exam Board RENATA DAMERI (President) CLARA BENEVOLO MONICA BRUZZONE (President Substitute) LESSONS Class schedule The timetable for this course is available here: Portale EasyAcademy EXAMS EXAM DESCRIPTION Final skills test on the platform RAISE Aulaweb. Exam schedule Data appello Orario Luogo Degree type Note 06/03/2025 09:00 GENOVA Registrazione 01/10/2025 09:00 GENOVA Registrazione FURTHER INFORMATION All course and teaching details are available on the platform RAISE Aulaweb. Upon passing the final verification, once the satisfaction questionnaire is completed, you get an Open Badge, which certifies the acquisition of the Training to citizenship competence. Unige students wanting to obtain the open badge and view the CFU in their career must include the citizenship training course with its code in their study plan, at the page formazione alla cittadinanza. The CFU and the Open Badge will be available only after the registration of the final verification is done by the teacher in charge of the course. That's all for now... Sign up: Ai in smart cities: evidence-based local policy Contact us: formazione.raise@unige.it Agenda 2030 - Sustainable Development Goals Quality education Decent work and economic growth Industry, innovation and infrastructure Sustainable cities and communities OpenBadge RAISE -Cittadinanza digitale- AI nelle Smart City: politica locale basata sulle evidenze