The aim of the course is to significantly expand the knowledge acquired in intermediate Microeconomics and intermediate Macroeconomics, which were previously completed within the scope of the master’s study programme. However, contrary to the courses studied at master’s level, an emphasis is placed on the theoretical component of teaching while instruction is mainly based on precisely formulated models and an advanced graphic apparatus. Economic theories are not interpreted in chronological order but are rather explained in detail in historical and global contexts, systematized, or derived in such a manner to allow the creation of one’s own theoretical basis for research.

1. Advanced consumer theory. Alternative approaches.
2. Advanced production theory. Alternative approaches.
3. Theory of market of production factors.
4. Theory of imperfect competition.
5. Chaos theory and oligopolistic behaviour.
6. Game theory.
7. Theory of general equilibrium and derivation of complex models.
8. Theory of growth. Alternative approaches.
9. Business cycle theory. Alternative approaches.
10. Theory of international trade. Alternative approaches.
11. Theory of international economic integration.
12. Limits of theoretical models.

The aim of the course is to deepen students’ knowledge and skills in the field of scientific work towards the level of a junior researcher and to improve their application skills in publishing. The course aims to develop critical, scientific and systems thinking of students and to acquire the knowledge and skills needed to carry out their own research. It illuminates the significance of individual stages of scientific work and their sequence. The course presents students with traditional and alternative methodological approaches to the study of scientific problems and also introduces them to actual principles of scientific work management.

1. Science and scientific thinking. Critical thinking. Systems thinking.
2. Citation analysis. Working with databases for science evaluation.
3. Scientific problem. Methodology, methodology, method.
4. Research questions. Research goals. Hypotheses.
5. Specifics of research in the field of economic policy and administration.
6. Structure of scientific work. Forms of communicating the results of scientific work.
7. Methods of acquisition and processing of primary and secondary data.
8. Statistical and econometric methods. Statistical and econometric software and its use.
9. Verification of hypotheses. Drawing conclusions.
10. Scientific project and its management.
11. Research team and its management.
12. Scientific discourse.

The aim of the course is to substantially expand the knowledge of students in the field of economic policy and public administration from the master’s study program. However, in contrast to the subjects taught at the master’s level, basic attention is paid to the theory of economic policy and public administration and non-trivial approaches to applied economic policy. The instruction is based on the sophisticated use of economic, model, administrative and political science theory while emphasis is placed on the complexity of approaches and their application in economic policy research.

1. Basic paradigm, methodology, methods and economic policy.
2. General relation of economic policy, quantitative methods and modelling.
3. Economic policy and specific quantitative methods and procedures.
4. Macroeconomic models in economic policy. Databases of economic policy models.
5. Fiscal policy modelling.
6. Monetary policy modelling. Phillips curve and DSGE models.
7. Economic policy and data. Econometric software in economic policy.
8. Standard theory of economic policy.
9. Modern methods of application and implementation of economic policy.
10. Problems of conventional and unconventional economic policy. Expectations in economic policy. Time inconsistency in economic policy.
11. Administrative science. Theory of public administration.
12. Management theory. Political management of state institutions and regional self-governments.

The course is a part of the compulsory basis of the study programme. Upon completion, it serves as a theoretical and methodological basis for other specifically oriented courses. The aim is to present the students with a critical approach to mathematical modelling and programming and the issue of simplification of economic reality in relation to the validity and veracity of predictions in the economic policy area, as well as with regard to the effectiveness of the results achieved. It seeks to introduce students to the importance of using advanced mathematical methods in economic analysis and the role of mathematical programming so that the student is not only a passive user and recipient of econometric software but is also able to conveniently modify and programme such software. An emphasis is placed on macroeconomic and microeconomic modelling and their economic-political consequences and use.

1. Advanced economic modelling and its importance for the decision-making of central authorities.
2. Conceptual and methodological approaches to economic modelling. Impacts of the so-called problem of universals. Friedman’s methodology of positive economics.
3. Simplification vs. reality. Limits of using mathematical models in economics.
4. Economic theories, the needs of economic policy in practice and the use of sophisticated econometric tools and techniques. Econometric software.
5. Mathematical programming with applications in economics. Advanced system engineering in economics. Linear and nonlinear programming.
6. Discrete and continuous dynamical systems.
7. Types of econometric models suitable for economic policy. Databases of economic policy models. Economic experiments and their use in economic modelling.
8. Models of simultaneous equations.
9. Models of reduced form. VAR and SVAR models.
10. Panel regression. Static and dynamic panel.
11. DSGE models.
12. Microeconomic models. Chaos theory and economic modelling.

Within the scope of the Internship Abroad course, the student completes a part of the study programme at a foreign institution lasting at least one month. Upon completion of the internship, a corresponding credit in the Internship Abroad course is awarded. An alternative, yet equivalent way of completing the course is the participation in an international research project where a foreign institution is involved, if approved in advance by the course’s guarantor.

The aim of the course is to deepen the knowledge of students from the master’s study programme in the field of advanced theory of public choice. With reference to the knowledge of basic theoretical concepts of public choice and the functioning of the political market, students are further acquainted with the limits of public choice in direct and indirect democracies and other advanced theoretical concepts in the context of behavioural and experimental economics which they may further develop within the course of Experimental Economics.

1. Theory of public choice and its significance for economic policy in practice.
2. The relation of the theory of public choice to political science, sociology and other social sciences.
3. Theory of rational choice, theory of preferences.
4. Rational ignorance, rational irrationality.
5. Manipulation and strategic behaviour.
6. The problem of uncertainty in collective decision making.
7. Rent-seeking.
8. Interest groups in political markets. Theory of bureaucracy.
9. The issue of defining the concept of public interest.
10. Normative approaches. Constitutional economics.
11. Voting mechanisms. Arrow’s impossibility theorem.
12. Problems of public choice in the context of experimental economics.

The aim of the course is to expand the knowledge of students in the field of behavioural economics and current trends in economic theory in relation to their previous knowledge of institutional economics which they already got at master’s level. Upon completion of the course, students will be able to create more accurate, or rather more realistic models relating to the behaviour of individual economic entities and the economy as a whole, and to use their own creative methods The previously acquired advanced knowledge of economic theory will be therefore placed into context of key lessons from other disciplines, especially psychology, sociology or anthropology.

1. Behavioural economics in the context of the development of economic thought.
2. Behavioural economics, experimental economics and economic modelling.
3. Critique of the theory of rational choice.
4. Behavioural economics of risk and uncertainty.
5. Preferences following the interests of others.
6. Behavioural aspects of time discounting.
7. Behavioural aspects of game theory.
8. Behavioural aspects of learning models.
9. Emotions.
10. Limited rationality.
11. Behavioural welfare economics.
12. Neuroeconomics.

V

Within the scope of the course, students consult their dissertation projects. The course is essentially aimed at research methodology, structure of a scientific work, critical approach to the current state of knowledge, evaluation and interpretation of the results and correct formulation of conclusions, recommendations and research contribution.

During the dissertation seminar, the student obtains credits for individual activities related to his creative activity. In total, there are 20 credits for publishing activities, 10 credits for project activities and 10 credits for other activities. These activities and their evaluation are described in detail in related internal regulations.