Research Seminar "Quantitative Methods"

Master 2021/2022

Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'

Category 'Best Course for New Knowledge and Skills'

Type: Elective course (Comparative Social Research)

Area of studies: Sociology

Delivered by: School of Sociology

Where: Faculty of Social Sciences

When: 2 year, 3, 4 module

Mode of studies: offline

Open to: students of one campus

Instructors: Anna Almakaeva, Daniil Romanov

Master’s programme: Comparative Soсial Research

Language: English

ECTS credits: 14

Contact hours: 40

Full Syllabus Ask Question

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

Course Syllabus