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

Intermediate level course.

Acquiring skills on dynamic cognitive systems and on the self-awareness that represents one of the emerging properties in autonomous systems and smart agents.

PREREQUISITES

Notions of the probability theory.

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

Bayesian Dynamic Networks (DBN)

Kalman filter, particle filter, switching patterns

Use of unsupervised clustering algorithms: self-organizing map, increasing neural gas

Examples of using Bayesian Dynamic Networks to detect anomalies: intrusion detection or financial data analysis to detect fraudulent transactions.

TEACHERS AND EXAM BOARD

Exam Board

CARLO REGAZZONI (President)

LUCIO MARCENARO

ALI KRAYANI (Substitute)

LESSONS

LESSONS START

From june 2024.

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Final skills test on the platform RAISE Aulaweb.

FURTHER INFORMATION

All course and teaching details are available on the specif 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.

That's all for now...

• Sign up: Introduction to dynamic cognitive sistem (113558)
• Contact us: formazione.raise@unige.it