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Course detail
FP-mvveDEAcad. year: 2026/2027
Course contents:• Research in economics and management - research process, research project design. Research timing, pitfalls and research critical points. Determination of the state of scientific knowledge, full-text scientific database. Sources and data collection and processing in secondary research.• Methods and approaches of quantitative research - sample determination, research questions and hypotheses determination, pre-research investigations, advanced quantitative data processing using SW tools.• Methods and approaches of qualitative research - selection of methods, data capture, data processing (transcription techniques, data coding), interpretation and analysis of outputs using SW tools.The student will understand the basic principles of scientific work. They will be able to elaborate a research project for successful elaboration of a dissertation in the field of economics and management. He will also be able to process his research results into a scientific article for publishing at national and international level.
Language of instruction
Assignment to study programme types
Mode of study
Guarantor
Department
Entry knowledge
Students must possess analytical skills for solving business and economic problems. They must also demonstrate the ability to work with data using advanced tools.
Rules for evaluation and completion of the course
For successful completion of the course students must:1. To write a written semestral work, (research project) (30 points).2. To pass an exam in the subject which is individual and written (20 points).Total 100 points.For successful completion of the course the student must obtain min. 75 points.Active participation of students will be checked.
Aims
The main course objective is to teach students how to work scientifically, thus preparing them for quality elaboration of their dissertations. Partial objectives are: to determine the status of scientific knowledge and to correctly use individual research methods.Upon completion of the course, students will be able to perform secondary and primary research, which will be applicable in the final dissertation.
Study aids
Lecture presentations are available in the study materials on the faculty intranet.
Prerequisites and corequisites
Basic literature
Recommended reading
Classification of course in study plans
Lecture
Teacher / Lecturer
Syllabus
The course outline is as follows:
1. Introduction.
2. Defining the research problem and setting research objectives.
3. Literature review. Application of the PRISMA method, identifying the research gap and research questions.
4. Data types and data collection methods.
5. Quantitative approach, sample selection, and quantitative data processing methods.
6. Qualitative approach, data coding, and qualitative data processing methods.
7. Common errors in the research process.
Guided consultation in combined form of studies