Магистратура
2022/2023
Научно-исследовательский семинар «Качественные методы»
Статус:
Курс по выбору (Сравнительные социальные исследования / Comparative Social Research)
Направление:
39.04.01. Социология
Кто читает:
Департамент социологии
Где читается:
Факультет социальных наук
Когда читается:
2-й курс, 3, 4 модуль
Формат изучения:
без онлайн-курса
Охват аудитории:
для своего кампуса
Прогр. обучения:
Сравнительные социальные исследования
Язык:
английский
Кредиты:
14
Контактные часы:
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.
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
- Structure of the master thesis
- Introduction
- Literature review
- Data and methods
- Results
- Discussion and conclusion
- Visualization
Assessment Elements
- Proposal TextStudents should prepare a 2000 words proposal consisting of the intridyction, research question, hypotheses, and data and methods.
- Proposal PresentationEach student should make a 7-10 minutes pres4entation of their proposal covering all its sections.
- In-class activityParticilation in in-class activities
Interim Assessment
- 2022/2023 4th module0.1 * In-class activity + 0.6 * Proposal Text + 0.3 * Proposal Presentation
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