Digital Humanities: Tools and Methods

Uitgebreide vaknaam	Digital Humanities: Tools and Methods
Leerdoelen	The learning outcomes of this course unit contribute to the learning outcomes of the degree programme as described in the OER. Upon successful completion of the course unit, students are able to: critically examine Digital Humanities tools and methods (using tool criticism) and present and visualize their critical examinations. They are furthermore able to visualize data for a typical digital humanities research question, including deciding which visualization type is the most suitable (given the dataset and the intended audience) and produce the visualization (i.e. converting the numeric or textual dataset into a graphical representation). Below, these learning outcomes are associated with those of the Communication and Information Science (CIW) Master curriculum. - knowledge of and insight in the theory about Digital Humanities tools and method(ologies) and methods of data visualization in a humanities context, demonstrated in the successful completion of course assignments (1.1) - knowledge of and demonstrated skills in applying taught methods (2.1) - demonstrated originality and creativity in applying ideas about tools and methods in the Digital Humanities (2.4) - demonstrated ability to understand, interpret, and evaluate theories, tools and methods in the Digital Humanities (3.1) - demonstrated ability to systematically and creatively deal with complex questions and topic-related issues and form a critical perspective (3.2)
Omschrijving	This methods course allows students to explore how particular digital humanities tools allow us to know what we know. Every year, on the basis of guest lectures, the course focuses on particular tools and methods, giving students a chance to use, question, and reflect on how these tools afford knowledge. During course lectures, guest speakers introduce students to state-of-the-art tools and DH methods. In the accompanying labs, students explore tools that help visualize structured humanities data, which can be about places (geodata), objects, people, or even about data itself (metadata). It is the third course in the ‘data processing’ learning pathway, and teaches the student how tools are developed within digital humanities and how structured data can be visualized for general and scientific purposes. In this course unit we also focus on student’s own critical reflection on their own use of tools and methods, as part of their preparatory work on their MA thesis.
Uren per week	variabel
Onderwijsvorm	nog niet bekend
Toetsvorm	nog niet bekend
Vaksoort	master jr 1
Coördinator	vacature
Docent(en)	vacature
Entreevoorwaarden	This is the third course in the 'data processing' learning path of the Digital Humanities master programme, and it is advised that students have successfully completed the preceding Collecting Data and Analyzing Data course units.
Opmerkingen
Opgenomen in	Opleiding Jaar Periode Type Ma Communicatie- en Informatiewetenschappen  (Digital Humanities) 1 semester II a verplicht