D_MV Science Methodology

University of Finance and Administration
Winter 2024
Extent and Intensity
2/0/0. 10 credit(s). Type of Completion: DZk (doctoral examination).
Guaranteed by
doc. Ing. Stanislava Mildeová, CSc.
Department of Finance – Departments – University of Finance and Administration
Contact Person: Dita Egertová
Prerequisites
The course has no specific entry requirements.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The aim of the subject is to familiarize with the content, functions and procedures of the theory and methodology of science. Emphasis is placed on basic procedures and their use in the processes of scientific knowledge and refinement of the conceptual apparatus. It also includes the issue of a systemic approach to scientific research and a discussion of the mutual relationship between theory and empiricism.
Learning outcomes
Upon completion of the course the doctoral student will know the basic principles of construction of scientific theory and especially their function for conception of real (empirical) research (relation between theory and empire, basic logical rules of the construction of scientific theory including experimental function, basic methods of working with terminology , knowledge, meaning - concepts, ways of defining the concept), will be familiar with the basic methods of scientific work characterized especially for social sciences (taking into account the specifics of economic research), including the individual methods and techniques of obtaining empirical data, their analysis and classification and how to draw more general conclusions (including verification of their validity).
Syllabus
  • 1. Subject and function of the methodology of science; the development of views on scientific knowledge. 2. Science, scientists, language of science, paradigms. 3. Specificity of social sciences. 4. Theory and empiricism; basic and applied research. 5. Methods of scientific work; inductive logic and its methodological significance. 6. The meaning and importance of formalization in science and its means. 7. Information sources; citation ethics, compilation, paraphrase. 8. Research data, data collection techniques, data processing methods. 9. Theory of evidence and proving; verification and falsification in science. 10. Systematicity in solving scientific problems; system analysis and synthesis, system thinking. 11. Determination and testing of research hypotheses; research questions. 12. Explanation and prediction; science experiment.
Literature
    required literature
  • OCHRANA, František. Metodologie, metody a metodika vědeckého výzkumu. Praha: Univerzita Karlova, Nakladatelství Karolinum, 2019. ISBN 978-80-246-4200-0.
  • Eger, L., Egerová, D. Základy metodologie výzkumu. 2. přepracované a rozšířené vydání. Plzeň: ZČU, 2017.
  • ŠIROKÝ, Jan. Psaní a prezentace odborných textů. Praha: Leges, 2019. Praktik. ISBN 978-80-7502-340-7.
    recommended literature
  • Khun T.: Struktura vědeckých revolucí. Praha: Oikoymenh,1997.
  • MOLNÁR, Zdeněk. Pokročilé metody vědecké práce. Zeleneč: Profess Consulting, 2012. Věda pro praxi (Profess Consulting). ISBN 978-80-7259-064-3. https://lsa.vse.cz/kniha.html
  • EGER, Ludvík a Dana EGEROVÁ. Základy metodologie výzkumu. 2. přepracované a rozšířené vydání. Plzeň: Západočeská univerzita, 2017. ISBN 978-80-261-0735-4.
  • Friedman M.: Metodologie pozitivní ekonomie. Praha: Grada, 1997.
  • Peregrin, Jaroslav. Co je nového v logice. 1. vydání Praha : Nová beseda, 2018. ISBN 978-80-906751-5-5
  • ODE, Samuel O. The Fundamentals: writing a dissertation. [s.l.]: Amazon, [2019]. ISBN 978-1-6994-409-8-8.
Teaching methods
50% lectures, 50% seminars.
Assessment methods
Semester work, oral examination
Language of instruction
Czech
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
General note: Předmět doktorského studia 0.
Information on the extent and intensity of the course: 12 hodin KS/semestr.
The course is also listed under the following terms Summer 2010, Winter 2010, Winter 2011, Winter 2012, Winter 2013, Winter 2014, Winter 2015, Winter 2016, Winter 2017, Winter 2018, Winter 2019, Winter 2020, Winter 2021, Winter 2022, Winter 2023.
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