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.

Data analysis and interpretation

  • Spring 2025
  • Næsta námskeið: 20. janúar - 07. febrúar 2025
  • CMM/CRD Elective Course | 6 ECTS
  • Námskeið:CRD2506

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.

Kennarar

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