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Regular version of the site
Master 2021/2022

Research Seminar "Qualitative Methods"

Type: Elective course (Comparative Social Research)
Area of studies: Sociology
Delivered by: School of Sociology
When: 2 year, 3, 4 module
Mode of studies: offline
Open to: students of one campus
Instructors: Anna Almakaeva, Lili Di Puppo, Christian Fröhlich, Arnab Roy Chowdhury
Master’s programme: Comparative Soсial Research
Language: English
ECTS credits: 14
Contact hours: 40

Course Syllabus

Abstract

The course on master thesis writing is designed to provide students with a thoughtful understanding of what are the main steps and procedures of social research and how they are linked to the different parts of master thesis.
Learning Objectives

Learning Objectives

  • To have practical skills in conducting social research and writing master thesis
Expected Learning Outcomes

Expected Learning Outcomes

  • be able to conduct analysis according to research questing
  • be able to find and review papers on the subject of MA thesis
  • be able to interpret data and draw conclusions
  • be able to provide a nice visualization
  • have skills in writing research papers and master thesis
  • know basic principles of academic writing
  • know the basic principles of academic ethics
  • know the rules of writing master thesis
  • to be able to put forward correct research question and identify the novelty of the MA thesis
Course Contents

Course Contents

  • Structure of the master thesis
  • Introduction
  • Literature review
  • Data and methods
  • Results
  • Discussion and conclusion
  • Visualization
Assessment Elements

Assessment Elements

  • non-blocking Home assignment
  • non-blocking Pre-defence
Interim Assessment

Interim Assessment

  • 2021/2022 4th module
    0.7 * Pre-defence + 0.3 * Home assignment
Bibliography

Bibliography

Recommended Core Bibliography

  • Writing research papers from essay to research paper : student book, Zemach, D. E., 2011

Recommended Additional Bibliography

  • Core concepts in data analysis: summarization, correlation and visualization, Mirkin, B., 2011
  • Rahlf, T. (2017). Data Visualisation with R : 100 Examples. Cham, Switzerland: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=1377904
  • Yuk, M., & Diamond, S. (2014). Data Visualization For Dummies. Hoboken, NJ: For Dummies. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=685381

Authors

  • ROYCHOUDKHURI ARNAB -
  • DI PUPO LILI