DIGITAL HUMANITIES

Università degli Studi
"G. d'Annunzio"

Chieti - Pescara

Single discipline educational activity

Course Sheet

Course code:

LT656

Academic Year of enrolment:

2021

Year of supply:

2021/2022

Type of Course:

Related/Supplementary

Degree:

Course of 2nd Cycle Degree in PHILOLOGY, LINGUISTICS AND LITERARY TRADITIONS

Disciplinary Sector:

Computer Science

Location:

CHIETI

Credits:

Programme Year:

Professor and Collaborators:

CARBE' EMMANUELA

Cycle:

Second semester

Hours of classroom activity:

Individual study hours:

108

Prerequisites:

There are no particular requirements; however the course “Laboratorio di Informatica” (prof. Di Nardo Di Maio) can provide useful IT skills.

Objectives

The course offers tools for the teoretical and methodical understanding of the discipline, learning correctly to evaluate DH case studies and to carry out small DH’s projects.
At the end of the course, students will be able to understand the concepts of Knowledge Representation and Data-modeling, and to understand opportunities and issues in the acquisition, treatment, and conservation of digital objects.

More specifically, the course aims to provide:
a) Knowledge and understanding of fundamental theoretical and methodological issues in DH field.
b) The ability to apply the acquired knowledge, by analyzing and understanding critically the architectures of DH products, with a special focus on Digital Libraries and Digital Archives, Digital Editions, and tools for Text Analysis.

Contents

The course provides an introduction to the study of Digital Humanities. Lectures are accompanied by laboratory seminars which allow the students to analyse and understand critically architectures and functions of digital sources, as well as to carry out small DH projects. After an introduction, the course will address three main DH’s topics: 1. Digital Libraries and Digital Archives; 2. Text Encoding and Digital Philology; 3. Text analysis with computational methods.

Extended Syllabus

1. Introduction to the “Informatica umanistica” / Digital Humanities
2. The Internet and the web
3. Introduction to the markup languages
4. Catalogues, digital libraries, virtual exhibitions (with lab)
5. Metadata and standards
6. Digitization processes
7. Introduction to the Digital Philology
8. Digital Editions and the Text Encoding Initiative (with lab)
9. Databases
10. Computational Text Analysis (with lab)
11. Natural Language Processing
12. Semantic Web and Linked Open Data
13. Project management in the DH field

Recommended Bibliography

F. Tomasi, Metodologie informatiche e discipline umanistiche, Carocci 2008

Alternatively:
A Companion to Digital Humanities, edited by Susan Schreibman, Ray Siemens, and John Unsworth, Blackwell 2004. URL: http://www.digitalhumanities.org/companion/

Mandatory Readings:

Francesco Stella, Testi letterari e analisi digitale, Carocci 2018 (disponibile in e-book)

Fabio Ciotti, Modelli e metodi computazionali per la critica letteraria: lo stato dell’arte, in L’Italianistica oggi: ricerca e didattica, Atti del XIX Congresso dell’ADI - Associazione degli Italianisti (Roma, 9-12 settembre 2015), a cura di B. Alfonzetti, T. Cancro, V. Di Iasio, E. Pietrobon, Adi editore 2017. URL: https://www.italianisti.it/pubblicazioni/atti-di-congresso/laitalianisti...

Further optional reading will be suggested during the course and will be available on the TEAMS platform. Students who do not attend classes are required to prepare this program:
Francesca Tomasi, Metodologie informatiche e discipline umanistiche, Carocci 2008
Francesco Stella, Testi letterari e analisi digitale, Carocci 2018 (disponibile in e-book)
Teoria e forme del testo digitale, a cura di Michelangelo Zaccarello, Carocci 2019

Teaching Methods

Lectures will be held also via Microsoft Teams. Laboratory seminars are expected.

Evaluation methods

Verification of learning:

The exam consists of an oral test to verify the knowledge acquired. The final score, out of 30, will be based on an oral talk on the course’s theme and on the books/essays of the course’s bibliography. Athough it is not obligatory, students who attend the courses can present their own works made during the course.

Grades table:
29-30 Lode = excellent (deep understanding of subject matter; ideas are clearly and logically organised with excellent presentation).
25-28 = good (understanding of subject matter; ideas are clearly and logically organised with good presentation).
18-24 = sufficient (basic comprehension or competency; work of this grade may be poorly structured and presented).
Less than 18 = failed (limited appreciation of subject matter).
The exam is not passed where serious gaps in preparation emerge.

Contacts/More Information

The course is held in the second semester, on Wednesday (18-20, online), on Thursday (16-18, in class and online), and on Friday (11-13, in class and online). The course starts on April 6th: the first lesson will be also held in class, although on Wednesday. Students who do not attend classes and students with specific needs are required to contact the lecturer before the exam (emmanuela.carbe@unich.it, or via Teams). The professor is available to attend and non-attending students for individual sessions (by appointment) for any technical problems that may arise during the laboratory seminars.

Università degli Studi
"G. d'Annunzio"

Chieti - Pescara

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