UDSDKMVA Research Methodology

School of Business Administration in Karvina
Winter 2018
Extent and Intensity
0/0. 10 credit(s). Type of Completion: dzk.
Teacher(s)
Karel Skokan, Ph.D. (lecturer)
prof. Mgr. Ing. Michal Tvrdoň, Ph.D. (lecturer)
Guaranteed by
Karel Skokan, Ph.D.
Department of Science and Research – Úsek proděkana pro vědu a výzkum – Děkanát – School of Business Administration in Karvina
Prerequisites
The completion of the course does not require any extra conditions and course can be enrolled independently of other courses.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The aim of the course is to make students familiar with the science and research methodology, processes and tools of research work and to make use the various information resources. Upon successful completion of the course students will be able effectively to find relevant information, to formulate research problem, research questions and their corresponding hypotheses, to choose the appropriate methods in basic and applied research to address systemic problems and will be also able to formulate relevant and valid conclusion for their dissertation and to participate in the solution of research projects.
Syllabus
  • 1. Cognition, science and research and their classification, basic concepts
    2. Methodology and methods of scientific research, ethics of science
    3. Formulation of research problems, objectives, questions and hypotheses
    4. Qualitative and quantitative research methods and techniques of data collection and processing
    5. Institutional support of research, information system and evaluation of research results on university and national level
    6. Scientific research projects and their preparation
    7. Work with information sources
    8. Methods of literature citations
    9. Presentation of scientific work, the preparation of a research paper
    10. Presentation of results at scientific conferences or professional events
    11. Policies and procedure for writing a dissertation
    12. Active involvement in university research projects
Literature
    required literature
  • MOLNÁR, Z. a kol. Pokročilé metody vědecké práce. Profess Consulting, 2012. ISBN 978-80-7259-064-3. info
  • OCHRANA, F. Metodologie vědy (Úvod do problému). Praha: Karolinum, 2010. ISBN 978-80-2461-609-4. info
  • GERŠLOVÁ, J. Vádemékum vědecké a odborné práce. Praha: Professional Publishing, 2009. ISBN 978-80-7431-002-7. info
  • HENDL, J. Kvalitativní výzkum. Základní teorie, metody a aplikace. Praha: Portál, 2008. ISBN 978-80-7367-485-4. info
    recommended literature
  • BURNS, R.B., BURNS, R.A. Business Research Methods and Statistics Using SPSS. London: SAGE Publications, 2008. ISBN 978-1-4129-4530-1. info
  • EASTERBY-SMITH M., THORPE, R. JACKSON P.R. Management Research. An Introduction. 3rd edition. London: SAGE Publications, 2008. ISBN 978-1-84787-177-0. info
  • SAUNDERS, M., LEWIS, P., THORNHILL, A. Research methods for Business Students. 4th Ed. 2007. ISBN 0-273-70148-7. info
  • VYMĚTAL, J., DIAČÍKOVÁ, A., VÁCHOVÁ, M. Informační a znalostní management v praxi. Praha : LexisNexis CZ, 2006. ISBN 80-86920-01-1. info
  • DISMAN, M. Jak se vyrábí sociologická znalost. Příručka pro uživatele. Praha: Karolinum, 2002. ISBN 80-246-0139-7. info
Teaching methods
One-to-One tutorial
Skills demonstration
Students' self-study
Assessment methods (in Czech)
Kombinovaná zkouška
Language of instruction
Czech
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: Přednáška 24 HOD/SEM.
Teacher's information
Seminar work up to 10-15 pages plus annexes and the defence during the exam.
ActivityDifficulty [h]
Konzultace56
Ostatní studijní zátěž370
Přednáška24
Summary450
The course is also listed under the following terms Winter 2013, Summer 2014, Winter 2014, Summer 2015, Winter 2015, Summer 2016, Winter 2016, Summer 2017, Winter 2017, Summer 2018, Summer 2019, Summer 2020.
  • Enrolment Statistics (Winter 2018, recent)
  • Permalink: https://is.slu.cz/course/opf/winter2018/UDSDKMVA