• Arnold, Taylor, Distant viewing: computational exploration of digital images / Taylor Arnold and Lauren Tilton, uuuu-uuuuCompulsory* (Ch. 1, 2, 6 (pp. 9–56, 145–176)
• Azar, M; Cox, G; Impett, L, Introduction: Ways of Machine Seeing, Part of: AI & society, 36(4), pp. 1093–1104Compulsory*
• Baker, Paul, Using corpora in discourse analysis / Paul Baker, uuuu-uuuuCompulsory* (Ch. 4–6 (pp. 107–192))
• Bode, K, What's the Matter with Computational Literary Studies, Part of: Critical inquiry., 49(4), pp. 507-529Compulsory* (pp. 507–529)
• Berger, Ways of seeing, uuuu-uuuuCompulsory* (Ch. 1, 3, 5, 7 (pp. 7–34, 45–64, 83- 112, 129–154))
• Byszuk,, J, On Computers in Text Analysis, Part of: The Bloomsbury handbook to the digital humanities / edited by James O'Sullivan, uuuu-uuuu, p. 10Compulsory* (pp. 159–168)
• Da, N.Z, The Computational Case Against Computational Literary Studies, Part of: Critical inquiry, 45(3), pp. 601–639Compulsory* (pp. 601–639)
• Guldi, Jo, The Dangerous Art of Text Mining: A Methodology for Digital History, 1, Cambridge University Press, 2023Compulsory* (Introduction, Chapter 1 (pp. 1–56).)
• Chávez Heras, Daniel, Cinema and Machine Vision: Artificial Intelligence, Aesthetics and Spectatorship / Daniel Chávez Heras, uuuu-uuuuCompulsory* (Introduction, Ch.4, (pp. 1–22, 87–98))
• Hinrichs, U; Forlini, S; Moynihan, B, In Defense of Sandcastles: Research Thinking through Visualization in Digital Humanities, Part of: Digital Scholarship in the Humanities, 34(no. Supplement_1), pp. i80–99Compulsory* (pp. i80–99)
• Kettunen, K; La Mela, M, Semantic tagging and the Nordic tradition of everyman’s rights, Part of: Digital Scholarship in the Humanities, 37(2), pp. 483-496Compulsory* (pp. 483–496)
• Lucy, L et al., Content Analysis of Textbooks via Natural Language Processing: Findings on Gender, Race, and Ethnicity in Texas U.S. History Textbooks., Part of: AERA open, uuuu-uuuu, p. 28Compulsory* (6(3), pp. 1–27)
• Mitchell, W. J.T., There Are No Visual Media., Part of: Journal of visual culture., 4(2), pp. 257–66Compulsory* (pp. 257–66)
• Niederer, Sabine; Colombo, Gabriele, Visual methods for digital research: an introduction, Cambridge, UK, Polity Press, 2024Compulsory* (Ch. 1–3)
• Ogert , F; Bell, P, Perceptual Bias and Technical Metapictures: Critical Machine Vision as a Humanities Challenge, Part of: AI & society, 36, pp. 1133–1144Compulsory* (pp 1133–44.)
• Rebora, S, Sentiment Analysis in Literary Studies. A Critical Survey, Part of: Digital humanities quarterly: DHQ, 17(2), pp. 1-17, LänkCompulsory* (pp. 1–17)
• Salvaggio, E, How to Read an AI Image: Toward a Media Studies Methodology for the Analysis of Synthetic ImageCompulsory* (pp. 83–99)
• Schofield, A, The Possibilities and Limitations of Natural Language Processing for the Humanities, Part of: The Bloomsbury handbook to the digital humanities / edited by James O'Sullivan, uuuu-uuuu, p. 10Compulsory* ((pp. 169–178))
• So, R.J, All Models Are Wrong, Part of: Publications of the Modern Language Association of America, 132(3), 668-673Compulsory* (132(3), 668–673)
• Tahmasebi, N; Hengchen, S, The strengths and pitfalls of large-scale text mining for the digital humanities, Part of: Samlaren, 140, pp. 198–227, länkCompulsory* (pp. 198–227)
• Underwood, T, A Genealogy of Distant Reading, Part of: Digital humanities quarterly: DHQ, 11(2), pp. 1-13, LänkCompulsory* (pp. 1–13)
• Underwood, T, Machine Learning and Human Perspective, Part of: Publications of the Modern Language Association of America, 135(1), pp. 92-109Compulsory* (sid. 92–109)
• Walsh, M, Introduction to Cultural Analytics and Python, 2021, länkCompulsory* (Sections 2 and 5)
• Walsh , M; Antoniak , M, The Goodreads ‘Classics', Part of: Journal of Cultural Analytics, uuuu-uuuuCompulsory* (243–287)
• Amanda Wasielewski, Computational Formalism: Art History and Machine Learning, MIT Press, 2023Compulsory* (Ch.1–2 (pp. 39–126))
• Wasielewski, A, Midjourney Can’t Count’: Questions of Representation and Meaning for Text-to-Image Generators., Part of: Image, 37(1), pp. 70–81, LänkCompulsory* (pp. 70–81)
• Critical Digital Art History, Intellect, uuuu-uuuuCompulsory* (Ch. 6, 7, 8 (pp. 100–166))
• Wehrheim, L, Economic history goes digital: topic modeling the Journal of Economic History, Part of: Cliometrica, 2019, p. 43Compulsory* (pp. 83–125)
• Wewers, M; Koolen, M, Digital begrigsgeschichte: Tracing semantic change using word embeddings, Part of: Historical methods, 53(4), 226-243Compulsory* (226–243)
• Wilson , D.C et al., The Living Machine: A Computational Approach to the Nineteenth-Century Language of Technology, Part of: Technology and culture, 64(3), 875-902Compulsory* (pp 875–902)

* Compulsory