DARIAH Teach is an open source, multilingual, community-driven platform for high quality teaching and training materials for the digital arts and humanities.
Knowledge Organization Systems provide the foundation for searching and retrieving information objects across digital collections and cultural heritage information systems. Starting from case studies this course provides an introduction to knowledge organization systems and their practical application in research contexts.
This course introduces learners to the concept of Cultural Heritage, Storytelling, and explores how Augmented Reality (AR) can be used to create interactive learning experiences based on digitised cultural heritage assets.
Netnography is an adaptation of ethnography to the study of digital interactions. In this course, the ethnographic perspective underpinning Netnography is introduced together with the netnographic approach and different types of netnographic material.
The Performing Arts’ aesthetic and poetry can be sometimes destabilising at first glance and difficult to analyse because it is ephemeral by nature. The E-Spectator tool enables annotation of videos to better analyse and understand the performing arts. This course from dariahTeach introduces learners to the E-Spectator tool, with practical examples and quizzes to guide you along.
What are the differences between a data scientist and a corpus linguist? This course provides an overview of the different perspectives on language and different types of tools that can be used for text analytics. It also introduces topic modelling and sentiment analysis as approaches to textual data.
Since their beginnings in the 17th century, newspapers have recorded billions of events, stories and personal names in almost every language and every country daily. This course from DariahTeach provides an introduction to digitised historical newspaper analysis, incorporating methods of Natural Language Processing for discovering, exploiting and visualising newspapers.
This course from dariahTeach introduces learners to the theoretical and practical foundations of an analysis of socio-cultural objects using Python through theoretical grounding and hands-on case studies. Students will work through several research use cases using basic machine learning, and employ network analysis to split a small community network into groups and clusters before finally learning more about visualisation and image analysis.
The aim of this virtual course is to offer basic knowledge and skills in programming in Python. Target audiences are undergraduate and graduate students in the Humanities and Social Sciences who want to acquire hands-on knowledge and skills in working with textual data or quantitative data in language and humanities research.
Design thinking is much less about knowing and much more about doing: it is learning what is needed by creating it. This course is designed to help students and professionals to apply the principles of design thinking in developing their own projects.
This interdisciplinary course addresses how principles of textual, visual, oral, and place-based storytelling challenge and enhance the conceptualisation, construction and experience of digitally-created worlds connecting to real-world places, locations, and landscapes.
This course is designed to develop your knowledge of the theory and practice of digitising material culture by producing computer generated and printed 3D models.
