Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea in Lingue e letterature per l'editoria e i media digitali - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
Modules | Credits | TAF | SSD |
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1st foreign language
2nd foreign language
1st foreign literature
2nd foreign literature
2° Year activated in the A.Y. 2021/2022
Modules | Credits | TAF | SSD |
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1st foreign language
2nd foreign language
1st foreign literature
2nd foreign literature
Philology related to 1st or 2nd foreign language
3° Year activated in the A.Y. 2022/2023
Modules | Credits | TAF | SSD |
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1st foreign language
2nd foreign language
Modules | Credits | TAF | SSD |
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1st foreign language
2nd foreign language
1st foreign literature
2nd foreign literature
Modules | Credits | TAF | SSD |
---|
1st foreign language
2nd foreign language
1st foreign literature
2nd foreign literature
Philology related to 1st or 2nd foreign language
Modules | Credits | TAF | SSD |
---|
1st foreign language
2nd foreign language
Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Advanced Digital Humanities Lab (2022/2023)
Teaching code
4S008112
Teacher
Coordinator
Credits
3
Language
Italian
Scientific Disciplinary Sector (SSD)
INF/01 - INFORMATICS
Period
I semestre (Lingue e letterature straniere) dal Sep 26, 2022 al Dec 23, 2022.
Erasmus students
Not available
Learning objectives
The laboratory aims to provide students with the knowledge and skills required to carry out articulated and interdisciplinary projects using the fundamental methodologies and technologies in Digital Humanities. At the end of the laboratory the students: - will be able to combine the previously acquired skills of programming, data and information management, and web development to autonomously implement complex Digital Humanities projects; - will know and will be able to apply a well-founded methodology for the planning and development of a Digital Humanities software project.
Program
Il laboratorio si propone di fornire agli studenti le conoscenze e le abilità richieste per sviluppare progetti interdisciplinari utilizzando le metodologie e tecnologie delle Digital Humanities. Alla fine del corso gli studenti:
1) sapranno integrare le conoscenze acquisite nei campi della linguistica, sociologia, semiotica e comprendere l’importanza dei metodi quantitativi;
2) saranno in grado di utilizzare software per la creazione, annotazione e analisi di corpora di comunicazione digitale;
3) avranno acquisito conoscenze teoriche e metodologiche in campo statistico;
4) impareranno a utilizzare R per l’analisi statistica di dati linguistici e multimodali.
Programma:
TEORIA (primo modulo, 12h)
1) La comunicazione nei media dal punto di vista linguistico, semiotico e sociologico: come approcciarla per studiarla e analizzarla
2) Nozioni base di statistica: funzionalità, metodo, test per l’analisi linguistica.
PRATICA: INFORMATICA (secondo modulo, 12h)
Corpora e software per l’analisi di dati linguistici: cosa sono e come crearli, annotarli e analizzarli attraverso risorse informatiche.
Focus: Corpus Linguistics e utilizzo dei software Sketch Engine, Voyant, AntConc, WebAnno per:
1) analisi di frequenze, keywords, collocazioni; 2) studio di POS tagging e regular expressions; 3) sviluppo di sistemi di annotazioni e metodi di annotazione manuale; 4) visualizzazione di dati.
PRATICA: INFORMATICA (terzo modulo, 12h)
Analisi statistica di dati linguistici con R: 1) Cosa è R; 2) Come usare R; 3) Script per calcoli di statistica descrittiva e inferenziale.
Bibliography
Learning assessment procedures
Esame scritto con domande a risposta chiusa (scelta multipla) e aperta. Possibilità per gli studenti di preparare una breve presentazione su un tema a scelta durante il corso e di sviluppare un progetto Digital Humanities.
Si invitano gli studenti non frequentanti a contattare la docente per avere informazione sulle modalità di esame.
Bibliografia obbligatoria
Gries, Stefan Thomas. Statistics for Linguistics with R. A Practical Introduction. De Gruyter Mouton, 2021.
McEnery, Tony, and Andrew Hardie. Corpus Linguistics: Method, Theory and Practice. Cambridge University Press, 2011.
Bibliografia di approfondimento
Jones, Rodney H., Alice Chik and Christoph A. Hafner, edited by. Discourse and Digital Practices. Routledge, 2015.
Kress, Gunther. Multimodality: A Social Semiotic Approach to Contemporary Communication. Routledge, 2010.
Page, Ruth, David Barton, Johann W. Unger and Michele Zappavigna. Researching Language and Social Media. A Student Guide. Routledge, 2014.
Taylor, Charlotte, and Anna Marchi, edited by. Corpus Approaches to Discourse: A Critical Review. Routledge, 2018.
Exam language
Inglese o Italiano (a scelta)