Entry requirements

A Bachelor's degree, equivalent to a Swedish Kandidatexamen, from an internationally recognised university. The main field of study must be within the humanities or the social sciences. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Learning outcomes

After completing the course, the student is expected to have achieved the following knowledge, skills, and competencies:

● Knowledge and understanding of tools and methods for digital text and image analysis and their applications.

● The ability to critically and systematically reflect on historic and contemporary debates around digital text and image analysis.

● The ability to use software and basic programming to perform quantitative and qualitative analyses of digital media.

● The ability to understand and critically assess the relationship between traditional humanistic methods and digital methods in analysing textual or visual material

Content

This course introduces tools and methods for analysing digital text and visual materials

within the humanities and digital humanities. The course discusses computer-supported and

quantitative analyses of texts and images in the humanities, examines the emergence of

these approaches, and theorises how they differ from more traditional humanistic inquiries.

The course includes practical laboratory sessions where students apply various text and

image analysis techniques using existing software and basic programming. The course aims

to equip students with skills to analyse digital media, with an emphasis on understanding

and problematising the implications of digitization and the use of digital sources in

humanistic knowledge production.

Instruction

The instruction will take place in the form of lectures, seminars, group work, or practical

sessions.

Assessment

The course is examined through a combination of individual or group-based written or oral

assignments. All examinations are compulsory.

Active participation in the seminars is required to fulfil the course requirements.

Any student who misses a compulsory teaching element will have the opportunity to submit

a supplementary assignment, the scope of which will reflect the workload that would have

been required to actively participate in the teaching element in question.

All compulsory teaching elements in a course must be completed before the course can be passed, but only

a minority of them can be completed via supplementary assignments.

All elements of the course will be assessed with one of the grades Pass with credit, Pass,

and Fail.

If there are special reasons for doing so, an examiner may make an exception from the

method of assessment indicated and allow a student to be assessed by another method. An

example of special reasons might be a certificate regarding special pedagogical support

from the University's disability coordinator.

Course examinations and assignments are designed to be completed without the use of

generative computational tools, including AI. This is a crucial step in how the course

facilitates accomplishment of the intended learning outcomes. Unless otherwise stated in the

course instructions, the use of generative computational tools, including AI, for the execution

of examinations and assignments is prohibited.