From January 2023, the Centre for Digital Humanities offers Tailor-made Workshops in addition to the regular Staff Education Program. This is to ensure that the education program matches the wishes of the staff within the Faculty of Humanities as closely as possible.
What we offer
Do you want to follow a specific workshop from the regular Staff Education Program or the Extra Workshops, but do you have specific wishes? Do you need a more advanced level or do you want to combine multiple subjects for example? You can then request a tailor-made workshop with your own group – for example your research group – and work on your own material. We offer these tailor-made workshops for four people or more. Fill in the form below and clearly indicate your wishes. We can offer tailor-made workshops on these subjects:
Social media data – introductory 4CAT course
Getting started with network visualization – introductory Gephi course
Entry level course Python
This entry level course in Python, provided by scientific developers of the Digital Humanities Lab, is designed for humanities teachers and researchers who want to learn the foundations of Python in order to write simple programs using the most common structures. No previous programming experience is needed.
Basics of Statistics
Data are becoming increasingly important in the humanities. In this one day course, intended for researchers and teachers in the humanities, you will learn the basics of statistical data analysis.
Transkribus and Optical Character Recognition
During this 3-hour entry level demo-workshop the Digital Humanities support team at the University Library, will demonstrate and teach how to use Optical Character Recognition software and Transkribus on example texts or material from your own research.
Digital Humanities 101 – An introduction to DH thinking
This 30 to 45 minutes lecture is set up as entry into Digital Humanities (DH) thinking. Professor Hugo Quené will show and discuss how to work with digital data and how to employ digital methods in the humanities. This presentation is intended for everybody interested in working with digital sources and/or digital methods.
Principles & practices of machine learning – A hands-on training for beginners with applications in the humanities
In this one-day course assistant professor Hugo Schnack will give an introduction to what machine learning is, when and how it can be used and what it can do. In practicals you will train, test, and interpret machine learning models yourself on (real) datasets.
Text mining with I-Analyzer
I-Analyzer is an online text and data mining application, developed by the Digital Humanities Lab, that combines online availability and ease of use with flexibility. This 3-hour workshop will give an overview of how you can process text corpora to be used in I-Analyzer, and how to search, filter and visualize results. If you’re interested, it might be possible to add a document collection of your choice in I-Analyzer.
Yoda for Humanities
Yoda is the default storage infrastructure for research data in the Humanities faculty at Utrecht University. This 1,5-hour workshop will provide a hands-on introduction to Yoda, and will help you navigate the data related choices you encounter during the different phases of your research.
Georeferencing old maps: Practices and uses for research and education
The famous ‘Atlas Maior’ by the Amsterdam firm of Blaeu has recently been georeferenced by the University Library. What is georeferencing and what is the scientific value of georeferenced maps for especially research and education? This joint UB and CDH workshop of 3 hours will show and teach you how to georeference digitized maps and how you can (re-)use them in your own work.
R for Humanities
R is a powerful scripting language for data handling, data visualization, and statistics. This one-day workshop specifically targets researchers working within the Humanities and aims to give you the tools to start exploring R and all it has to offer by yourself. We focus on learning the basics of R and applying your new found R knowledge and skills to datasets. At the end of the course you will be able to: (1) read and write lines of R code (even if you do not understand all functions, you know how to look them up); and (2) use RStudio, and use it to write an R script and an R markdown document.
Do you have a short or very specific question about a digital humanities topic? Do you need one-on-one coaching? Then we would like to refer you to the weekly Digital Humanities Walk-in Hours. We can then individually look at your dataset or code.