Hér má nálgast námskeiðslýsingar allra námskeiðanna sem í boði eru. Einnig má sjá skipulag námsins í sameiginlegri kennsluáætlun Sjávarbyggðafræði og Haf- og strandsvæðastjórnunar.

Námskeiðin uppfylla kröfur ýmissa stéttarfélaga um námsstyrki. Vor- og sumarannir eru tilvaldar fyrir háskólanemendur sem vilja stytta námstímann í reglubundnu námi.

Fyrirspurnir sendist á kennslustjóra Háskólaseturs.

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Data analysis and interpretation

  • Spring 2025
  • Kennari: Dr. Matthias Kokorsch
Kennsluskrá

Um námskeiðið

The purpose of this course is to provide students with the basic requirements and tools for analysing quantitative and qualitative survey research. This course builds on real life examples from the field of Coastal Studies and students conduct a small research project, which includes data analysis and interpretation of the results. During the qualitative segment of the course, a broad range of statistical methods using the R environment are covered, including descriptive statistics, common parametric and nonparametric statistical tests, regression analysis and generalized linear models. During the qualitative segment of the course, the analysis of interviews and texts is covered, introducing the software MAXQDA. Fundamental concepts of research, such as validity and reliability, and the importance of data visualization (tables and figures) are discussed. Students conduct a small research project, which includes data analysis and interpretation of the results.

Kennari

Dr. Matthias Kokorsch:

is the Academic Director of the Coastal Communities and Regional Development program at UW.

Regional development, the structural change of communities and socio-economic challenges have always been my major interests. Coming from an old industrial area in Germany where structural change was a living reality, I faced these issues first-hand throughout my childhood and adolescence. I was also always fascinated by the everyday lives of people living in remote places, particularly in the circumpolar regions.
My main current research interests include community resilience, regional development, particularly in sparsely populated regions, structural changes of old-industrial areas, and resource management in combination with aspects of justice and decision-making processes.

Kennsluskrá

On completion of the course a student:

  • can evaluate qualitative and quantitative data in order to apply and discuss findings.
  • can apply a broad range of statistical methods.
  • can analyse interviews and texts with relevant tools.
  • can plot data and create meaningful graphs in a format that is publishable.
  • can interpret and discuss results from qualitative and quantitative data analysis.

 

Prerequisites: No prerequisites registered for the course

Assessment: 100% written assignments

Final Exam: Assignment

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