SOSGEO4011 – Desk-based qualitative methods
Course content
Learning outcome
Knowledge objectives
Throughout this course you will acquire in-depth knowledge about
- the generation and analysis of text-based, visual and digital qualitative data
- important qualitative research traditions, including document analysis, archival research, digital ethnography, visual methods and qualitative use of geographic information systems (GIS)
- visual data sources such as images, video, maps, and web pages and their application in qualitative research
- the methodological underpinnings of studying digital, visual and spatial data
Skill objectives
Throughout this course you will learn how to
- collect or generate digital, textual and visual data from online sources and archives
- use software and artificial intelligence in the processing of digital, textual and visual sources
- report digital, textual and visual data in credible ways in research publications
General competence
This course will enable you to
- develop an experience-based and methodologically qualified understanding of how to study digital, visual and spatial data
- design and carry out digital and desk-based qualitative research projects
Admission to the course
Admission to the course is dependent on admission to a master’s degree programme at the Department of Sociology and Human Geography.
The course is open to master specialisation in didactics for social science in the Teacher Education Programme (Lektorprogrammet) - please see the link for information regarding admission.
Recommended previous knowledge
SOSGEO4000 – Introduction to advanced research methods
Students are assumed to have basic knowledge of research design and social science methodology.
Teaching
Examination
Examination support material
Language of examination
Grading scale
Resit an examination
If you are sick or have another valid reason for not attending the regular exam, we offer a postponed exam later in the same semester.
See also our information about resitting an exam.
More about examinations at UiO
- Use of sources and citations
- How to use AI as a student
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.