Course title in Estonian
Course title in English
Qualitative Digital Humanities
approximate amount of contact lessons
lecturer of 2019/2020 Autumn semester
Jaagup Kippar (eesti keel) e-toega kursus
lecturer of 2019/2020 Spring semester
lecturer not assigned
Create conditions for developing knowledge about qualitative analysis methods of digital humanities, to learn to understand their advantages and opportunities.
Provide opportunities for developing practical skills in digital research techniques.
Brief description of the course
Visualising research results, presentation of the most widespread two dimensional charts. Comparing of data with the help of tables and drawings. Dangers of comparison. Examples of situations where using the same data for comparison, different methods can create significantly different even contradictory results. Comparing the results by triangulation.
Combining drawing types, telling a story by the use of drawings, schemata and related commentaries. Compiling a drawing series or animation for showing the alterations of relations when time or some other parameter is changing.
Using geographical data. Compliment digital contour maps with place specific data. Making maps comprehensible for different zooming levels.
Technical opportunities of various map applications. Installing, configuring, removing and adding items to existing applications.
Presenting information using three-dimensional drawings, videos and navigable animations. Making two-dimensional excerpts from three-dimensional systems. Entering data into existing solutions. Installation, adjusting, supplementing ready-made systems. Environments for visualising data.
Creating models based on available data. Conscious application of simplifications and taking them into consideration when interpreting the results. Creating and checking models step-by-step while raising the level of complexity and amount of detail.
Examples of the use of a qualitative approach in history: same event producing considerably different viewpoints, and their justifications.
Compiling approximately ten different types of drawings based on a data set, supplying explanations on what kind of information is best illustrated in any particular way.
Bringing out at least two completely different viewpoints when stressing different aspects and compiling drawings for a particular data set.
Interpreting data that is missing in a data set in various ways and showing how different conclusions can be reached.
Compiling an animation showing a situation changing in time.
Compiling a three-dimentional drawing
Compiling a map application with variable scales and bringing out details in order of importance
As an assessed work: compiling an introductory story for a person by using available archive materials and illustrating the story with drawings and charts. Analysis of the assignments of the other students.
Learning outcomes in the course
Knows the most common qualitative research methods used for digital humanities.
Is able to use these methods to describe and analyse the phenomenon under examination from different angles.
Knows how to draw attention to hidden connections by the use of qualitative methods and to verify the existence and strength of these connections by the use of triangulation.
Presentation and defence of the listed individual works.
Presentation and analysis of assessment works in a smaller group.
Andmete analüüs ja tõlgendamine sotsiaalteadustes, TÜ kirjastus 2015
Andmete esitamisega seotud peatükid.
Kihnu regilaulud. Vana Kannel 7:1. Koostanud ja toimetanud Ottilie
Kõiva, Ingrid Rüütel 1997. Sissejuhatav osa.
Üldise maateaduse alused, Stanislav Kalesnik. 1961, Tallinn. Üldiste
geograafiliste seaduspärasuste osa.
R-tutor, kvalitatiivse andmeanalüüsi osa
Kursust ei ole võimalik sooritada asenduskirjanduse põhjal.