Магистратура 2021/2022

Научно-исследовательский семинар «Количественные методы»

Лучший по критерию «Полезность курса для Вашей будущей карьеры»

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

Преподаватели: Алмакаева Анна Михайловна, Романов Даниил Михайлович

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.

Learning Objectives

• To have practical skills in conducting social research and writing 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

• Home assignment
• Pre-defence

Interim Assessment

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

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

• ALMAKAEVA ANNA MIKHAYLOVNA