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Digital Humanities and Education - where is DH taught at MUNI?
Are you studying humanities, and are you interested in working with digital tools that you could use in your field? Do you want to know how to digitise, process and visualise textual, spatial or image data? Interested in digital research trends? Then you will definitely be interested in the courses offered at MUNI in the field of Digital Humanities.
Upon completion, you will be able to collect, analyse and visualise data and process digital information. In addition to learning how to work with various data processing analysis tools, you will be able to look at research topics in the humanities in a whole new way.
ARTS020 - Digital Humanities
This propaedeutic university-wide online course consists of twelve lectures by experts who will introduce a diverse range of approaches, methods and specific tools and provide an introduction to different areas of Digital Humanities. The course will guide you through the entire process of working with data in the humanities, from its acquisition through digitization or directly from digital sources, to cleaning, processing and analyzing different types of data, to presentation through visualization or publication and final archiving.
You will learn, among other things, how the digitization of old prints and books is done in practice, how neural networks help computers "see" visual materials, how to read hundreds of books with a computer, why network analysis is of interest to epidemiologists, historians and sociologists, or how to fight disease or crime with data visualizations.
In this course, you will learn how to use simple tools for text analysis, spatial data analysis, mapping, and network analysis, all without any prior knowledge of these tools. The course is delivered in the form of online lectures, where you will learn from experts who use these methods in practice how research projects in the Digital Humanities are created, and you will try your hand at several simple tools for text analysis, mapping, or data visualization through mini-tasks. The aim of the course is to introduce students to the basic tools and approaches of the Digital Humanities and thus create knowledge and skills that they can use and deepen in subsequent courses.
Digital Humanities in Medieval Studies
LJMedB24 Digital Humanities in Medieval Studies
If you are interested in the history and more advanced use of modern digital research methods, then you will be interested in the Digital Humanities in Medieval Studies course. Although the course is thematically focused on the European Middle Ages, it targets a wide range of people interested in computer processing of various types of data. The course is practically oriented: it introduces the basics of working with text corpora, digital editing, network analysis and digital map making.
Digital Humanities for Historical Auxiliary Sciences
PV1B127 DH pro PVH
The course, which this time focuses on digital approaches in various auxiliary historical and archival sciences, concentrates on five main topics (Digitization in Memory Institutions, Metadata and Metadata Standards, Working with Image Data, Text Analysis and Markup in XML, Spatial Data and Networking and Data Visualization). The course presents examples of good practice in these areas, and also introduces students to a few selected tools in the final project.
Introduction to Digital Humanities
PLIN064
For those who are mainly interested in textual data and its processing, and are not afraid of a bit of coding, there is a course Introduction to Digital Humanities, taught by Zuzana Nevěřilová. In this hands-on course, you will learn the basic commands for text analysis in a Python environment. By the end, you will be able to use Python to perform basic operations on text in corpora such as word counting, determining the most commonly used terms, or lemmatization.
In addition to the courses mentioned above, which represent different areas of Digital Humanities, there are also a number of courses at MUNI that focus on specific methods such as Geographic Information Systems and Mapping, Network Analysis, or Natural Language Processing. Many of these courses are also open to students outside of their parent disciplines. All courses can be found in the Course Catalog by entering an appropriate keyword in the search box.
