Course content

The aim of this course is to introduce fundamental skills and critical issues in computational analytics of space, images and objects. Students learn about key concepts and debates in the digital humanities and gain hands-on experience with tools and techniques including visual databases, computer-based visualization including Reflectance Transformation Imaging (RTI) and Photogrammetry, 3D modelling, and machine learning for visual data mining (pattern recognition, aggregation).

The goal of this course is to introduce the students to a number of digital technologies and resources and current research projects, as well as how to consider the epistemological implications of data-driven analysis and its possible limitations.

Learning outcomes

In order to pass the course, students are expected to be able to:

  • describe and apply digital methods for working with spatial and visual data, whether originally in digitized or non-digitized form
  • critically review datasets and the benefits and challenges with different digital methods and resources for researching space, images, and objects

Practical information

Webposts (c. 200 words) submitted to Athena before each session in which students reflect on the session’s required readings function as a requirement to pass the course. Each student is required to submit at least four postings during the course.

The course is examined through a learning journal (c. 2000 words) submitted within one week after the end of the course.

The teaching is conducted in the form of a seminar and also involves guest seminars given by invited speakers, experts in their field.

  • Dr. Katherine McDonough, The Alan Turing Institute: Doing Spatial History with Maps
  • Univ.-Prof. Prof. Dominik Lengyel, University of Cottbus: Visualisation as a Research Tool in the Digital Humanities
  • Dr. Ed Triplett, Duke University: The Affordances of Spatial Software in the Digital Humanities: A Case Study about the Book of Fortresses Project
  • X.Y. Han, Cornell University: AI for the Photoarchive
  • Dr. Diana Seave Greenwald, Isabella Stewart Gardner Museum, Boston: Creating a Data-Driven History of Art
  • Dr. Sigmund Oehrl, Stockholms universitet/ Ludwig-Maximilians-Universität München: A New Digital Edition of Gotland's Picture Stones
  • Kathryn Lloyd, Tenement Museum: Your Story, Our Story: Connecting Across Time and Place

No technical skills are required at the outset. The students are encouraged to bring and use their personal laptops or tablets during the class.

The course is given in English.

NB. The course is offered online.

Period: First half of Autumn semester 2021

Course dates: August 30 — September 29, 2021. See schedule below for details.

Language of instruction: English

Course directors and Examiners: Anna Dahlgren and Ewa Machotka

Theme coordinator: Alison Klevnäs

Course title in Swedish: Digitala metoder för humaniora: Rum, Bild och Föremål

The course is offered by the Department of Archaeology and Classical Studies Department of History in collaboration with the Department of Culture and Aesthetics and the Department of Asian, Middle Eastern, and Turkish Studies.

The course is part of the theme Digital Humanities