157-9591/01 – Quantitative Methods of Economic Analysis (QMEAe)
| Gurantor department | Department of Systems Engineering and Informatics | Credits | 20 |
| Subject guarantor | prof. Ing. Jana Hančlová, CSc. | Subject version guarantor | prof. Ing. Jana Hančlová, CSc. |
| Study level | postgraduate | Requirement | Compulsory |
| Year | | Semester | winter + summer |
| | Study language | English |
| Year of introduction | 2019/2020 | Year of cancellation | |
| Intended for the faculties | EKF | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
The aim of the course QMEA is to describe theoretical and methodological knowledge of the use and the development of research methods and quantitative support of economic analysis and solving economic problems. To clarify the essence of quantitative methods of economic analysis and modeling and to proceed correctly in their application. And also to apply a quantitative approaches to modeling economic processes to support the decision-making and the research activities.
Teaching methods
Lectures
Individual consultations
Project work
Summary
The aim of the course QMEA is to describe theoretical and methodological knowledge of the use and the development of research methods and quantitative support of economic analysis and solving economic problems. To clarify the essence of quantitative methods of economic analysis and modeling and to proceed correctly in their application. And also to apply a quantitative approaches to modeling economic processes to support the decision-making and the research activities.
Compulsory literature:
Recommended literature:
Additional study materials
Way of continuous check of knowledge in the course of semester
1. Written work.
2. Oral exam.
E-learning
Links to selected topics are in LMS Moodle.
Other requirements
The prerequisite for the oral exam is an approved written work according to the instructions given in the lessons. Content of the written work - abstract, introduction, description and mathematical formulation of methods from given area, application and solution of the the model, conclusion, list of literature, appendices.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
1. Basics of scientific work
2. Methods of operational research
3. Quantitative methods and decision making models
4. Advanced statistical analysis and analysis of categorical data
5. Multivariate statistical analysis
6. Selected economic models
7. Time series analysis and econometrics
9. Advanced methods of artificial intelligence
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction