Program Overview

MACHINE LEARNING AND IMAGE-BASED PROCEDURES FOR SEISMIC RISK REDUCTION - RAISE LIGURIA

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.

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

Base level course. Acquiring the basic theoretical knowledge of seismic engineering, the relevant techniques of the damage and images for its rating.

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).

Syllabus/Content

• Basic principles on seismic risk
• Seismic emergency phase analysis and damage detection
• Seismic response of existing buildings in ordinary and monumental masonry and their vulnerability
• Use of drones and Lidar technologies for seismic damage imaging
• Automatic interpretation of damage from images: framing of techniques and examples of applications
• Machine learning tools to support seismic risk reduction: basic principles of ML techniques + applications
• Use of the theoretical knowledge acquired for the analysis of practical cases and real problems related to seismic risk

Teachers and Exam Board

• Serena Cattari
• Bianca Federici
• Simone Barani

Exam Board

• Serena Cattari (President)
• Simone Barani
• Bianca Federici (President Substitute)

Lessons

Class Schedule

The timetable for this course is available on the Portale EasyAcademy.

Exams

Exam Description

Final skills test on the platform RAISE Aulaweb.

Exam Schedule

• 08/01/2026, 10:30, GENOVA
• 12/03/2026, 10:30, GENOVA
• 11/06/2026, 10:30, GENOVA
• 10/09/2026, 10:30, GENOVA

Further Information

All course and teaching details are available on the specific platform RAISE Aulaweb of the course. 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.