Digital humanities - ASS600006
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In 2025/26 this course will be taught as AMCAA10127 (Základy digital humanities), with additional block lectures and additional assignments.
The course will introduce the methodological foundations of digital humanities. In addition to general principles for selecting, processing, storing, and long-term preservation of data, including field-standard practices, the course content will largely depend on the specific needs of the students in a given semester. It aims to assist students in working on their own projects, such as final assignments. Examples of possible topics include: methods for processing textual, image (including HTR/OCR), spatial, geographical, and other data; basic natural language processing (NLP) methods; data mining; data storage and querying in database systems; issues related to big data; training and working with machine learning models; corpus and distant reading analyses; and data presentation and visualization. The course will be highly practical and project-oriented, in addition to providing a theoretical introduction. While the course may reference programming and statistics in some cases, it is not primarily focused on these areas. Poslední úprava: Doležalová Lucie, prof. Mgr., M.A., Ph.D. (13.09.2025)
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Berry, D. M. (2012). Understanding Digital Humanities (D. Berry, Ed.) [PDF]. Palgrave Macmillan. https://doi.org/10.1057/9780230371934 Gladney, H. M. (2012). Long-Term Digital Preservation: A Digital Humanities Topic? Historical Social Research / Historische Sozialforschung, 37(3 (141)), 201–217. Cordell, R. (2016). How not to teach digital humanities. In Debates in the Digital Humanities 2016 (pp. 459–474). University of Minnesota Press. https://doi.org/10.5749/j.ctt1cn6thb.39 Jänicke, S., Franzini, G., Cheema, M. F., & Scheuermann, G. (2015). On close and distant reading in digital humanities: A survey and future challenges. In Eurographics Conference on Visualization. The Eurographics Association. Kristen, S., & Stuart, D. (2020). Routledge international handbook of research methods in digital humanities (K. Schuster & S. Dunn, Eds.; 1st ed.). Routledge. Luhmann, J., & Burghardt, M. (2022). Digital humanities—A discipline in its own right? An analysis of the role and position of digital humanities in the academic landscape. Journal of the Association for Information Science and Technology, 73(2), 148–171. https://doi.org/10.1002/asi.24533 Roth, C. (2019). Digital, digitized, and numerical humanities. Digital Scholarship in the Humanities, 34(3), 616–632. https://doi.org/10.1093/llc/fqy057 Schiuma, G., & Carlucci, D. (2018). Big data in the arts and humanities: theory and practice. CRC Press, Taylor & Francis Group. https://doi.org/10.1201/b19744 Schuster, K., & Dunn, S. (2020). Routledge international handbook of research methods in digital humanities (K. Schuster & S. Dunn, Eds.). Routledge. Poslední úprava: Pastyříková Iveta, Mgr. (21.11.2023)
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