48693 - Computer Science for Cultural Heritage

Learning outcomes

The course provides students with an overall knowledge of technologies and IT tools to support the study of cultural heritage: digital transposition and analysis of objects and documents, organization of databases, ontologies and semantic web, three-dimensional acquisitions and virtual reconstructions by computer graphics. Through case studies in the various areas of cultural heritage (archaeological, historical-artistic and architectural, archival-library and music), the student acquires critical competence on the main digital technologies useful for the knowledge, conservation and enhancement of cultural heritage.

Course contents

1. Basic concepts for a humanistic approach to computer science
   
2. Introduction to the use of information technology in the study and enhancement of cultural heritage: tools and methodologies
3. The relationship between digital breaking technologies and cultural heritage
4. Digital transposition and analysis of objects and documents
5. Data bank and databases
6. Digital cultural resources, ontologies and semantic web
7. Data acquisition and processing

Readings/Bibliography

- R. Borruso - S. Russo, Approccio umanistico all'informatica. Un mondo di bit, ESI, Napoli, 2019 (in preparazione la 2° edizione).- Anne Burdick, Johanna Drucker, Peter Lunenfeld, Todd Presner, Jeffrey Schnapp, Umanistica_digitale, Milano, Mondadori, 2012.

Other materials (lesson slides, readings, links to websites and portals of interest for the subject) will be provided during the course through the IOL online teaching support platform To access the site it is necessary to include the teaching in your study plan.

For those who do not have a basic preparation in Computer Science, we also recommend reading the text by Stefano Allegrezza, Basic Computer Science, SIMPLE Edition, Macerata, 2009.

Teaching methods

Lectures and laboratory activities.

Assessment methods

The exam consists of:

1. Oral examination and possible tests (with multiple choice question, multiple answer, true or false statement, open answer, word association, personalized question).The knowledge verification will focus on the contents of the texts and on the ability to report the various problems faced during the course. The mnemonic learning of technical definitions and terms of the discipline and the ability to link the various issues dealt with in the presented case studies and the technologies used will be evaluated. The expressive properties used during the oral interview will be part of the evaluation.
2. Presentation of an argumentative topic to be sent by e-mail ten days before the exam. The theme track will be published on the IOL teaching support online platform.

Non-attending students

 During the oral interview, a comment will also be requested on one of the five readings that have been indicated on the IOL teaching support online platform.

Teaching tools

Texts, lecture notes, slides, films and other educational material available on the IOL online teaching support platform.

Office hours

See the website of Stefano Russo