Annotation

The course focuses on expanding competences in the digital humanities, offers a basic view of the field to beginners and is open to both the public (as part of the CŽV Lifelong Learning Programme) and to students of the Charles University. The course is practically oriented - towards careers in the fields of non-teaching pedagogy and media and communication studies - but is intended for all professions concerned with working with digital texts, digitising texts, analysing or processing them. Such professions may include, for example, archivists, journalists and press officers, editors, IT staff, data analysts and others.

Location

FF UK, nám. Jana Palacha 1/2, Praha 1

Results of learning

Knowledge - student can • Explain the basic issues of history and methodologies of the Digital Humanities • Define common data types, structures and standards used in the DH field • describe the principles of open science, long-term data preservation and data licensing • Characterise the fundamental operations of the large language models Skills - student can • Automatically collect and process digital data (e.g. from the web - datamining and scraping technologies) for basic analysis • Annotate, search and transform (also according to industry standards) text data (XML, XQuery, XSLT and TEI technologies) • query, link and analyse large and complex data sets (SQL and Keebola technologies) • use online and local language models for automation purposes (ChatGPT and other LLM technologies) Competence - student can • perform data analysis with typical datasets for digital humanities • design appropriate procedures and processes for the use of digital technologies in the humanities and social sciences • analyse and design appropriate data management practices in line with Open Science principles