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Regular version of the site
Master 2019/2020

Working with Network Data

Category 'Best Course for Career Development'
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Area of studies: Applied Mathematics and Informatics
When: 2 year, 2, 3 module
Mode of studies: offline
Instructors: Valentina Kuskova
Master’s programme: Applied Statistics with Network Analysis
Language: English
ECTS credits: 10

Course Syllabus

Abstract

This course is about conducting research, both in academia and in practice. Specifically, we will focus on basic steps of the scientific inquiry, starting with the topic selection, and progressing through to literature review, hypotheses generation, choice of analysis method, and methods of propagating the research results to wide audiences (written and oral presentations). Throughout the semester we will become familiar with the most advanced current topics, presented by guest speakers and the ANR researchers. Whether you plan to work in the corporate world, or develop your career in academia, you will be forced to generate knowledge and disseminate it to others, so there is no doubt that you will use the skills acquired in this course.
Learning Objectives

Learning Objectives

  • The course gives students an important foundation to develop and conduct their own research as well as to evaluate research of others.
Expected Learning Outcomes

Expected Learning Outcomes

  • Know topics, terminology, and principles of scientific research methods.
  • Know the most recent advances in network science and applied statistics.
  • Know the requirements and guidelines of scientific publishing both in Russia and abroad.
  • Be able to understand the basic steps of the research process.
  • Be able to develop and/or foster critical reviewing skills of published empirical research using applied statistical methods.
  • Be able to to criticize constructively and determine existing issues with applied linear models in published work.
  • Have oral presentation skills.
  • Have basic academic writing skills in both English and Russian.
Course Contents

Course Contents

  • What is research?
    The first session will focus on the nature and process of social research, research strategies, the concept of the scientific study, the science in the social science.
  • Ontology, Epistemology, Methodology
    The session will look into ontology and epistemology, evaluating causal relationships, and de-scriptive inference.
  • Formulating the research question
    The session looks into stating the research question, reviewing the literature, and the art of theory building.
  • Research design
    This sessions will look at the concepts and concept formation, comparative analysis, research designs in different areas, and determining the key factors in a study.
  • The nature of qualitative research
    This session covers the foundation of qualitative research, the role of interviews, framing the de-bate, and critiques of the quantitative template.
  • Experimental designs
    This session looks into experimental, quasi-experimental, and ex-post facto designs. It will also look into diverse tools available to researchers.
  • Mixed-methods designs
    This session will look into breaking down the quantitative/qualitative divide, combining the two approaches in research, and using qualitative tools for causal inference.
  • Writing a research proposal
    (4-6 lectures) This session will look into planning the research project and turning the proposal into a plan of future work. It will discuss the basic parts of a research paper, working with intro-duction and literature review, building theory, proper description of the used methods, and “tell-ing a story” in social science academic papers.
  • Research ethics and integrity
    This session will discuss the accepted use of human subjects, and ethics and integrity in research process.
Assessment Elements

Assessment Elements

  • non-blocking Weekly homeworks
  • non-blocking In-class presentations
  • non-blocking Participation and responsibility grade
  • non-blocking Final Paper
Interim Assessment

Interim Assessment

  • Interim assessment (3 module)
    0.2 * Final Paper + 0.1 * In-class presentations + 0.2 * Participation and responsibility grade + 0.5 * Weekly homeworks
Bibliography

Bibliography

Recommended Core Bibliography

  • Brewerton, P., & Millward, L. (2001). Organizational Research Methods : A Guide for Students and Researchers. London: SAGE Publications Ltd. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=251199
  • Bryman, A. (1989). Research Methods and Organization Studies. London: Routledge. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=97175
  • Maruyama, G., & Ryan, C. S. (2014). Research Methods in Social Relations (Vol. 8th ed). Malden, Mass: Wiley-Blackwell. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=798826
  • Strongman, L. (2013). Academic Writing. Newcastle upon Tyne: Cambridge Scholars Publishing. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=816736
  • Sword, H. (2012). Stylish Academic Writing. Cambridge, Mass: Harvard University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=464125

Recommended Additional Bibliography

  • Bailey, S. (2015). Academic Writing : A Handbook for International Students (Vol. Fourth edition). Milton Park, Abingdon, Oxon: Routledge. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=862062
  • Dudley-Evans, T., & Hewings, M. (2001). Academic Writing in Context : Implications and Applications. Birmingham: Continuum. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=226902