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ARTIFICIAL INTELLIGENCE FOR CULTURAL HERITAGE

CODE 90636
ACADEMIC YEAR 2021/2022
CREDITS 6 credits during the 2nd year of 9913 DIGITAL HUMANITIES - COMMUNICATION AND NEW MEDIA (LM-92) SAVONA
SCIENTIFIC DISCIPLINARY SECTOR ING-INF/05
LANGUAGE Italian
TEACHING LOCATION SAVONA (DIGITAL HUMANITIES - COMMUNICATION AND NEW MEDIA)
SEMESTER 1° Semester
TEACHING MATERIALS AULAWEB

OVERVIEW

This course will analyze solutions that Artificial Intelligence and other innovative technologies have produced for the protection, use and enhancement of cultural heritage. We also want to stimulate new methodological and technological solutions to allow catalysing possible interactions and aggregations between the various subjects involved in developing new applications in the cultural heritage sector.

AIMS AND CONTENT

LEARNING OUTCOMES

The aim of the course is to analyze solutions that Artificial Intelligence and other innovative technologies have produced for the protection, use and enhancement of cultural heritage. We also want to stimulate new methodological and technological solutions to allow catalysing possible interactions and aggregations between the various subjects involved in developing new applications in the cultural heritage sector. Reproducing cultural sites and making them usable in a different way, including through the web, means opening up new development opportunities for the civil and economic growth of the territories. Hence the need to define roles and connections, where only research and new technologies can suggest competitive paths and solutions that integrate tourism and culture on the one hand, with business and the market on the other.

SYLLABUS/CONTENT

Artificial Intelligence: Paradigms and History
Smart agents
Problem Solving
Constraint satisfaction problems
Knowledge Representation
Natural Language
Visual perception and artificial vision
Python programming language

RECOMMENDED READING/BIBLIOGRAPHY

The materials used during the lessons in the virtual classroom and during the virtual laboratory activities will be made available as the course progresses on the AulaWeb portal in the Materials used in class section, together with links to resources and texts available online.

TEACHERS AND EXAM BOARD

Exam Board

GIOVANNI ADORNI (President)

GIANNI VIARDO VERCELLI

ILARIA TORRE (President Substitute)

LESSONS

Class schedule

All class schedules are posted on the EasyAcademy portal.

EXAMS

EXAM DESCRIPTION

In order to take the exam, the student must register online through the Student Portal  at https://servizionline.unige.it/studenti/ 

The exam consists of an individual interview on the course program and on the discussion of the project carried ou.t

ASSESSMENT METHODS

In order to pass the exam, the student must:

- to produce a Disciplinary Thematic Glossary: ​​for each lesson the student is asked to create (and gradually enrich and refine) a glossary of disciplinary keywords;
- to individually or as a group a thematic project assigned by the teacher during the course.

Exam schedule

Date Time Location Type Notes
14/01/2022 09:00 SAVONA Scritto
28/01/2022 09:00 SAVONA Scritto
08/06/2022 09:00 SAVONA Scritto
22/06/2022 09:00 SAVONA Scritto
12/07/2022 09:00 SAVONA Scritto
06/09/2022 15:00 SAVONA Scritto