Course detail

Methods of Economic Management of Enterprises

FP-meDEAcad. year: 2020/2021

The course “Methods of Economic Management of Enterprises” deepens and expands the knowledge of students of the doctoral study programme in the field of advanced tools of economic management of an enterprise. The main emphasis is put on the understanding and application of mathematical and statistical methods and procedures in selected areas of economic management of enterprises and their subsequent use in scientific and research activities within doctoral studies. Students will get to know theoretical backgrounds and using case studies, they will learn how to apply selected methods and procedures including economic interpretation of the obtained results. The case studies will focus on the following areas:
· evaluation of the time development of enterprise economic phenomena;
· prediction models as a tool of enterprise management;
· methods of intercompany comparisons (one-dimensional and multi-dimensional methods, factor analysis, main component analysis, cluster analysis, discriminatory analysis, canonical correlation, correspondence data analysis).

Language of instruction

English

Mode of study

Not applicable.

Learning outcomes of the course unit

Not applicable.

Prerequisites

Not applicable.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

Exam requirements include the submission of a written term paper on a selected topic (30 points) and the knowledge of the subject during an exam (70 points). The examination is combined (the written part is followed by the oral part).

Students successfully complete the subject if they obtain at least 75 points.

Course curriculum

The course “Methods of Economic Management of Enterprises” deepens and expands the knowledge of students of the doctoral study programme in the field of advanced tools of economic management of an enterprise. The main emphasis is put on the understanding and application of mathematical and statistical methods and procedures in selected areas of economic management of enterprises and their subsequent use in scientific and research activities within doctoral studies. Students will get to know theoretical backgrounds and using case studies, they will learn how to apply selected methods and procedures including economic interpretation of the obtained results. The case studies will focus on the following areas:
· evaluation of the time development of enterprise economic phenomena;
· prediction models as a tool of enterprise management;
· methods of intercompany comparisons (one-dimensional and multi-dimensional methods, factor analysis, main component analysis, cluster analysis, discriminatory analysis, canonical correlation, correspondence data analysis).

The objective of the course “Methods of Economic Management of Enterprises” is to deepen and expand the knowledge of students of the doctoral study programme in the field of advanced tools of economic management of an enterprise. The main emphasis is put on the understanding and application of mathematical and statistical methods and procedures in selected areas of economic management of enterprises and their subsequent use in scientific and research activities within doctoral studies.

Work placements

Not applicable.

Aims

The objective of the course “Methods of Economic Management of Enterprises” is to deepen and expand the knowledge of students of the doctoral study programme in the field of advanced tools of economic management of an enterprise. The main emphasis is put on the understanding and application of mathematical and statistical methods and procedures in selected areas of economic management of enterprises and their subsequent use in scientific and research activities within doctoral studies.

Specification of controlled education, way of implementation and compensation for absences

Not applicable.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

JAYMAN, S. Managerial Statistics. Kendall Hunt Publishing Company, 2014. ISBN 978-1465257031.

Recommended reading

OAKSHOTT, L. Quantitative Methods. Palgrave, 2014. ISBN 978-1-137-34085-6.

Classification of course in study plans

  • Programme DSP-CME Doctoral 2 year of study, winter semester, compulsory-optional
    2 year of study, summer semester, compulsory-optional
  • Programme DSP-CME-KS Doctoral 2 year of study, summer semester, compulsory-optional
    2 year of study, winter semester, compulsory-optional

Type of course unit

 

Guided consultation

10 hod., optionally

Teacher / Lecturer

Guided consultation in combined form of studies

10 hod., optionally

Teacher / Lecturer