Course Details

Course Name
First Level Master in Digital Humanities
Course Type
Master
Institution
Università Ca' Foscari
Department
Department of Humanities
Information
http://www.unive.it/nqcontent.cfm?a_id=127285
Curriculum
-
Status
record actively maintained
Course Language
English
Start Date
2017-11-10
recurring
ECTS
-
Lecturer
Prof. Paolo Eleuteri
PID
Disciplines: Arts and Cultural Studies, Computer Science, Library Science and Information Science, Linguistics and Language Studies, Theory and Methodology of DH, Literary and Philological Studies, History, Human Language Technologies
Techniques: Concordancing, Encoding, Information Retrieval, Linked Open Data, Machine Learning, Open Archival Information Systems, Pattern Recognition
Objects: Artifacts, BibliographicListings, Computers, DigitalHumanities, Data, Images, Images(3D), Language, Literature, Manuscript, Metadata, Multimedia, Text, Visualization
Access Requirements
Bachelor degree or eviqualevent degree
Description
This Master’s Degree aims to provide training in Digital Humanities for humanities and IT graduates. It will provide technical and professional skills for using, creating and developing IT tools, software and hardware: from creating and processing databases to scanning, digitising and re-processing documents, from data mining to 3D renderings and historical GIS techniques. It is designed for employees working with cultural, artistic and monument heritage (archivists, librarians or staff at museums, art collections and archaeological sites), teachers, researchers, professionals and companies that require transferable skills between IT and human and social sciences.
Keywords
Disciplines: Arts and Cultural Studies, Computer Science, Library Science and Information Science, Linguistics and Language Studies, Theory and Methodology of DH, Literary and Philological Studies, History, Human Language Technologies
Techniques: Concordancing, Encoding, Information Retrieval, Linked Open Data, Machine Learning, Open Archival Information Systems, Pattern Recognition
Objects: Artifacts, BibliographicListings, Computers, DigitalHumanities, Data, Images, Images(3D), Language, Literature, Manuscript, Metadata, Multimedia, Text, Visualization