Course Details

Course Name
Humanities in the Digital Age: Introduction to Digital Humanities
Course Type
Course
Institution
Eötvös Loránd University
Department
Department of Comparative Literature and Cultural Studies
Information
https://neptun.elte.hu/
Curriculum
-
Status
record actively maintained
Course Language
Hungarian
Start Date
2017-02-17
ECTS
3
Lecturer
László Bengi
PID
Disciplines: Literary and Philological Studies
Techniques: Text Mining
Objects: Literature, Research
Access Requirements
None.
Description
The course gives a general introduction to digital humanities. The main goal of the lecture series is definitely not to be exhaustive but rather to make the field familiar for students who have not been trained in an interdisciplinary field like this yet. Therefore the emphasis is laid on introducing students to some of the most important concepts and methods of digital humanities. Besides the basic theoretical background, the lectures shortly reflect on the technical processes and difficulties of digital research. The core part of the course includes the demonstration of several computational and quantitative methods, although without explaining the mathematical background in detail. The research questions and possible results of approaches labeled as distant reading and culturomics are placed in the center of discussion. The examples are chosen so that they facilitate students to raise questions contributing to the development of their own research topic in literary studies. The explained methods are also intended to give students an idea of project-based research and to make them able to work in collaboration with digital humanities specialists and computer experts of the field effectively. Main topics and readings: 1) The origins of modern media studies McLuhan, Marshall. 1962. The Gutenberg galaxy: the making of typographic man. [Toronto]: University of Toronto Press. 2) Reading in the digital age Hayles, Katherine. 2012. How we think: digital media and contemporary technogenesis. Chicago: The University of Chicago Press. Dopson, James E. 2015. “Can an Algorithm be Disturbed? Machine Learning, Intrinsic Criticism, and the Digital Humanities.” Collage Literature 42, 543–564. 3) Corpus building, pretreatment and processing of texts, text models Algee-Hewitt, Mark and McGurl, Mark. 2015. Between Canon and Corpus: Six Perspectives on 20th-Century Novels. Stanford Literary Lab Pamphlet 8. https://litlab.stanford.edu/LiteraryLabPamphlet8.pdf Tikk, Domonkos (ed.). 2007. Szövegbányászat (Test Mining), pp. 25–33, 37–42, 55–56. Budapest: Typotex. 4) Distant reading and abstract models in literary studies (Stanford Literary Lab) Moretti, Franco. 2000. “Conjectures on World Literature.” New Left Review 1: 54–68. Allison, Sarah et al. 2011. Quantitative Formalism: an Experiment. Stanford Literary Lab Pamphlet 1. https://litlab.stanford.edu/LiteraryLabPamphlet1.pdf Franco Moretti, Operationalizing: or, the Function of Measurement in Modern Literary Theory, Stanford Literary Lab Pamphlet 6. https://litlab.stanford.edu/LiteraryLabPamphlet6.pdf Algee-Hewitt, Mark et al. 2016. Canon/Archive: Large-scale Dynamics in the Literary Field. Stanford Literary Lab Pamphlet 11. https://litlab.stanford.edu/LiteraryLabPamphlet11.pdf Moretti, Franco. 2016. Literature, Measured. Stanford Literary Lab Pamphlet 12. https://litlab.stanford.edu/LiteraryLabPamphlet12.pdf 5) Methods of quantitative analysis in the digital humanities (Culturomics) Michel, Jean-Baptiste et al. 2011. “Quantitative Analysis of Culture Using Millions of Digitized Books.” Science. 14 Jan 2011. Gibbs, Frederick W. and Cohen, Daniel J. 2011. “A Conversation with Data: Prospecting Victorian Words and Ideas.” Victorian Studies 54: 69–77. Heuser, Ryan and Le-Khac, Long. 2011. “Learning to Read Data: Bringing Out the Humanistic in the Digital Humanities.” Victorian Studies 54: 79–86. Nicholson, Bob. 2012. “Counting Culture; or, How to Read Victorian Newspapers from a Distance.” Journal of Victorian Culture 17: 238–246.
Keywords
Disciplines: Literary and Philological Studies
Techniques: Text Mining
Objects: Literature, Research