Кто читает:: Департамент образовательных программ

Статус:: Курс обязательный

Когда читается:: 1-й курс, 3 модуль

Преподаватели

Дранев Юрий Яковлевич

Куценко Евгений Сергеевич

Майснер Дирк

Нефедова Алёна Игоревна

Рудь Виталий Александрович

Саритас Оздчан

Стрельцова Екатерина Александровна

Фурсов Константин Сергеевич

Full Syllabus

Abstract

The course is delivered to the first year master students of the Master Program ‘Governance of Science, Technology and Innovation’ at the National Research University Higher School of Economics (HSE). The course length is 228 academic hours in total of which 32 are classroom hours and 196 hours are devoted to self-study. It continues logically the course ‘Scientific research Methods for STI’ and is designed to help students to foster their work on research projects and develop term papers. The course is divided into two blocks. The first includes seminars discussing research data analysis and academic communication. The second block is a series of seminars fully dedicated to individual work-in-progress presentations. The academic control is based on one essay (peer review), an exam (organized in a form of workin-progress presentation) and in-class engagement.

Learning Objectives

to provide students with practical knowledge and skills necessary for the analysis of quantitative and qualitative data;
to introduce students to the key sources of empirical data in the STI field;
to consider how to organize and present research results;
to train students’ analytical and critical thinking skills.

Expected Learning Outcomes

Сapabilities to analyze different types of data correctly
To analyze different types of data correctly
To create proper academic presentation and to communicate research results correctly

Course Contents

Introduction to the course
Basic guidelines and requirements of the course. Schedule and deadlines. Academic control. Criteria for written papers evaluation.
Sources of empirical information in STI studies: an overview
Statistics of STI: information sources. How to read and use analytical reports. Workshop: working with OECD database (Main Science and Technology Indicators).
Quantitative data
Basics of quantitative analysis. Descriptive statistics. Overview of cluster, factor and regression analysis. Workshop: Overview of quantitative analysis software: the example of SPSS.
Qualitative data
Basics of qualitative analysis. Coding of transcripts. Analysis and presentation. Workshop: Overview of quantitative analysis software: the example of NVivo.
Presentation of research results
Basics of presenting research ideas: How to structure your presentation? How to present data? How to develop one’s presentation skills? New tools for presentations.
Consultations on individual research projects are provided on request

Assessment Elements

In-class
Peer-review
Colloquium

Interim Assessment

Interim assessment (3 module)
0.3 * Peer-review + 0.5 * Colloquium + 0.2 * In-class

Bibliography

Recommended Core Bibliography

Dowling, R., Maalsen, S., & Kent, J. L. (2018). Sharing as sociomaterial practice: Car sharing and the material reconstitution of automobility. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.DC385DFE
Duarte, N. (2008). Slide:ology : The Art and Science of Creating Great Presentations (Vol. 1st ed). Beijing: O’Reilly Media. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=412140
Wetcher-Hendricks, D. (2011). Analyzing Quantitative Data : An Introduction for Social Researchers. Hoboken, New Jersey: Wiley. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=690491

Recommended Additional Bibliography

Cargill, M., & O’Connor, P. (2013). Writing Scientific Research Articles : Strategy and Steps (Vol. Second edition). Chichester, West Sussex, UK: Wiley-Blackwell. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=568792
Martin, B. R., Nightingale, P., & Yegros Yegros, A. (2011). Science and technology studies: exploring the knowledge base. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.58BAAFD5

Магистерская программа «Управление в сфере науки, технологий и инноваций»

Research Seminar