Autumn term courses in methods
Overview
In the Autumn term, Graduate School offers the following methods courses:
SIMM52: Designing Research in Social Sciences
This course aims to provide the student with an understanding of and skills in research design in the social sciences. (7,5 credits)
SIMM53: Methods in Contemporary Middle Eastern Studies
This course in Methods in Contemporary Middle Eastern Studies is designed to introduce students to the methodological debates and methods engaged in Middle Eastern Studies. (7,5 credits)
SIMM54: Feminist Methodologies and Theories of Knowledge
This course aims to provide students with an understanding of key issues in feminist methodologies and theories of knowledge. (7,5 credits)
SIMM57: Research in Global Studies
This course aims to introduce students to approaches and methods in applied global studies research. (7,5 credits)
SIMM58: Methods in Development Studies
This course provides ample learning opportunities for the student to access, compare and understand a variety of research approaches and methods in contemporary development studies. (7,5 credits)
SIMM59: Document Research
This course surveys the main genres of document-based research, such as secondary data research and archival research, and provides some depth regarding selected types of such research. (7,5 credits)
SIMM61: Quantitative Data Analysis in R
The aim of this course is for the student to develop an understanding of key concepts and principles guiding the use of quantitative methods, relate the use of quantitative methods to social science theory building and assessment, acquire practical skills with regard to the performance of statistical analysis and visualisation in R, and develop the ability to independently and critically assess quantitative research. (15 credits)
SIMM71: Computational Approaches in the Social Sciences
This course is aimed towards students who have some prior knowledge of quantitative research methods and wish to further develop their understanding of content analysis, and ability to independently apply computational methods of extracting content features from digital texts and images. (7,5 credits)
How to apply
If you are a programme student enrolled in one of the Graduate School master's programmes, you will be automatically admitted to the methods course for your programme in the first term, but will need to register yourself to the course. If you are not a programme student in your first year of studies, you can apply for the courses that are open to external students via www.antagning.se.
Contact us
Email:
master@sam.lu.se
Phone: +46 (0) 46-222 00 00
Postal address:
Programme Administrator
Graduate School
Faculty of Social Sciences
Lund University, Box 117
221 00 Lund, Sweden
Visiting address:
"Gamla Kirurgen"
Sandgatan 13A
Lund, Sweden