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This course is primarily intended for first-year students of the Faculty of Arts who are interested in understanding the principles and use of Digital Humanities and Artificial Intelligence in the humanities and social sciences. The course covers the basics of Digital Humanities, the possibilities of digital technologies, artificial intelligence, and large language models, such as GPT-4 and GPT-5 from OpenAI and many others. Students will become familiar with the practical aspects of using these technologies in the humanities and social sciences and will discuss their ethical and social impacts.<br>
<br> Course objectives:<br> The aim of this course is to introduce students to the basics of Digital Humanities and large language models, including their use for research in the humanities and social sciences. After completing the course, students will be able to:<br> <br> Understand the principles and significance of Digital Humanities and AI in the context of the humanities and social sciences<br> <br> Use digital tools and technologies for text and data analysis<br> <br> Use digital tools and technologies for basic data visualization<br> <br> Understand the basics of large language models and their applications<br> <br> Discuss the ethical and social aspects of the use of digital technologies and AI in the humanities and social sciences<br> <br> Apply the acquired knowledge in practice through case studies and practical exercises<br> <br> Course structure:<br> The course consists of four main blocks focusing on the basics of Digital Humanities, digital technologies, artificial intelligence, and the application of these concepts in practice. Last update: Foglarová Klára, Bc. (20.09.2025)
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Závěrečný test v Moodle Last update: Foglarová Klára, Bc. (23.09.2025)
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BERRY, David M. a FAGERJORD, Anders. Digital humanities: knowledge and critique in a digital age. First published. Cambridge: Polity, 2017. ix, 189 stran. ISBN 978-0-7456-9765-9. CHEN, Chun-houh, ed., HÄRDLE, Wolfgang, ed. a UNWIN, Antony, ed. Handbook of data visualization. Berlin: Springer, 2008. xiii, 936 s. Springer handbooks of computational statistics. ISBN 978-3-540-33036-3. MANOVICH, Lev. Cultural Data: Possibilities and limitations of the digital data universe. In: GRAU, Oliver, ed. Museum and archive on the move: changing cultural institutions in the digital era. Berlin: de Gruyter, 2017. 316 stran. ISBN 978-3-11-052051-4, pp. 259-276. SCHREIBMAN, Susan, SIEMENS, Ray a UNSWORTH, John. A new companion to digital humanities. First edition. Chichester: Wiley Blackwell, 2016. xviii, 567 stran. ISBN 978-1-118-68064-3. SVENSSON, Patrik, ed. a GOLDBERG, David Theo, ed. Between humanities and the digital. Cambridge, Massachusetts: The MIT Press, 2015. xii, 574 stran. ISBN 978-0-262-02868-4. Alby, T. (2022). Data science in practice. CRC Press. https://doi.org/10.1201/9781003426363 Bradley, N. (2000). XML: Kompletní průvodce. Grada. https://ndk.cz/uuid/uuid:ac368b3e-4795-406a-9dfe-102fb07da9c1 Brázda, J. (2003). XML: Praktické příklady. Grada. https://ndk.cz/uuid/uuid:2844a8c0-9fdb-11e4-a2db-005056825209 Caprette, H. (n.d.). Best practices in accessible online design. PressBooks. Dasgupta, I., Lampinen, A. K., Chan, S. C. Y., Sheahan, H. R., Creswell, A., Kumaran, D., McClelland, J. L., & Hill, F. (2022). Language models show human-like content effects on reasoning tasks. [Preprint]. Holzner, S., & Kiszka, B. (2002). XSLT: Příručka internetového vývojáře. Computer Press. https://ndk.cz/uuid/uuid:6dbad2f0-bc85-11e4-9ade-005056825209 Liang, W., Zhang, Y., Cao, H., Wang, B., Ding, D., Yang, X., Vodrahalli, K., He, S., Smith, D., Yin, Y., McFarland, D., & Zou, J. (2023). Can large language models provide useful feedback on research papers? A large-scale empirical analysis. [Preprint]. Manovich, L. (2017). Cultural data: Possibilities and limitations of digitized archives. In O. Grau, W. Coones, & V. Rühse (Eds.), Museum and archive on the move: Changing cultural institutions in the digital era (pp. 259–276). De Gruyter. McGillivray, B., & Tóth, G. M. (2020). Applying language technology in humanities research: Design, application, and the underlying logic. Palgrave Macmillan. Moretti, F. (2013). Distant reading. Verso. Neuman, Y., Danesi, M., & Vilenchik, D. (2023). Using AI for dialoguing with texts: From psychology to cinema and literature. Routledge. Rogers, R. (2013). Digital methods. MIT Press. Scavetta, R. J., & Angelov, B. (2021). Python and R for the modern data scientist: The best of both worlds (1st ed.). O’Reilly Media. Skonnard, A., & Gudgin, M. (2006). XML: Pohotová referenční příručka: Referenční příručka programátora ke XML, XPath, XSLT, XML Schema, SOAP a dalším. Grada. Viterbo, P. B., & Gourley, D. (2010). Digital humanities and digital repositories: Sustainable technology for sustainable communications. In Proceedings of the 28th ACM International Conference on Design of Communication (pp. 143–148). ACM. https://doi.org/10.1145/1878450.1878478 Wolfram, S. (2023). What is ChatGPT doing … and why does it work? Wolfram Media. https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/ Žák, M. (2003). XML – Začínáme programovat: Podrobný průvodce začínajícího uživatele. Grada. https://ndk.cz/uuid/uuid:67829300-f1ea-11e5-ae80-001018b5eb5c Zaki, M. J., & Meira, W. (2020). Data mining and machine learning: Fundamental concepts and algorithms (2nd ed.). Cambridge University Press. Last update: Foglarová Klára, Bc. (21.09.2025)
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Harmonogram zimního semestru 2025/26
Last update: Sedláček Jakub, Mgr., Ph.D. (23.11.2025)
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