157-9591/01 – Quantitative methods of economic analysis (QMEAe)

Gurantor departmentDepartment of Systems EngineeringCredits20
Subject guarantorprof. Ing. Jana Hančlová, CSc.Subject version guarantorprof. Ing. Jana Hančlová, CSc.
Study levelpostgraduateRequirementCompulsory
YearSemesterwinter + summer
Study languageEnglish
Year of introduction2019/2020Year of cancellation
Intended for the facultiesEKFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
HAN60 prof. Ing. Jana Hančlová, CSc.
MAR0011 prof. Ing. Dušan Marček, CSc.
S1A20 prof. RNDr. Dana Šalounová, Ph.D.
TOL0013 prof. Mehdi Toloo, Ph.D.
ZAP149 doc. Mgr. Ing. František Zapletal, Ph.D.
ZME40 prof. Dr. Ing. Zdeněk Zmeškal
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 60+0
Part-time Examination 60+0

Subject aims expressed by acquired skills and competences

The aim of the course KMEA is to deepen theoretical and methodological knowledge of the use and the development of research methods and quantitative support of economic analysis and solving economic problems. To understand 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

1. Basics of scientific work, 2. Methods of operational research, 3. Quantitative methods and decision making models, 4. Financial models and decision making, 5. Advanced statistical analysis and analysis of categorical data, 6. Multivariate statistical methods, 7. Selected economic models, 8. Time series analysis, 9. Econometric modeling, 10. Advanced methods of artificial intelligence.

Compulsory literature:

AGRESTI, Alan. Statistical methods for the social sciences. Boston: Pearson, 2018. ISBN 978-0-134507-10-1. GUJARATI, Damodar, N. Basic Econometrics. Sin amodar gapore: Mc Graw-Hill. 2003. ISBN 0-07-233542-4. HILLIER, Frederic, S. a J. Gerald, LIEBERMANN. Introduction to Operations Research. 9th ed. New York: McGraw-Hill Higher Education, 2010. ISBN 978-0-07-337629-5. SAATY, Thomas L. Fundamentals of Decision Making and Priority Theory with the Analytic Hierarchy Process. Pittsburg: RWS Publications, 2006. ISBN 0-9620317-6-3. ZMEŠKAL, Zdeně a kolektiv. Financial models. Ostrava: VSB - Technical University, Faculty of Economics, 2004. ISBN 978-80-2480-754-6.

Recommended literature:

ANDERSON, David a kolektiv. Statistics for Business and Economics. South- Western: Cengage Learning, 2012. ISBN 978-0-538-48164-9. ENDERS, Walter. Applied Econometric Time Series. New York: Wiley, 2009. ISBN 978-80-86946-49-8. LUNENBURG, Frederick C. a J. Beverly, IRBY. Writing a Successful Thesis or Dissertation: Tips and Strategies for Students in the Social and Behavioral Science. Corwin Press, 2007. ISBN 978-1412942249. TRIANTAPHYLLOU, Evangelos. Multi-Criteria Decision Making Methods: A comparative study. Kluwer: Academic Publishers, 2000. ISBN 0-7923-6607-7. TOLOO, Mehdi. Data Envelopment Analysis with Selected Models and Applications, SAEI, Vol. 30. Ostrava: VSB - Technical University, Faculty of Economics, 2014. ISBN 978‐80‐248‐3738‐3.

Way of continuous check of knowledge in the course of semester

1. Written work. The aim of the written work is to demonstrate the ability to correctly choose and apply the selected quantitative method/s on real data, to use the method methodologically and logically, to describe mathematically the problem, to solve the problem based on the correct formulation and exact expression and to draw adequate conclusions. 2. Oral exam. The oral exam consists of three parts: - discussion and defenses of the written work; A) general questions about description, categorization, introduction of basic principles and procedures; B) specific question with a mathematical formulation used to demonstrate the ability to mathematically formulate key topics.

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, 3. Financial models and decision making, 3. Advanced statistical analysis and analysis of categorical data, 4. Multivariate statistical methods, 5. Selected economic models, 6. Time series analysis, 7. Econometric modeling, 8. Advanced methods of artificial intelligence.

Conditions for subject completion

Part-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2020/2021 (P0311D050004) Economics K English Ostrava Compulsory study plan
2020/2021 (P0311D050004) Economics P English Ostrava Compulsory study plan
2020/2021 (P0412D050004) Finance P English Ostrava Compulsory study plan
2020/2021 (P0412D050004) Finance K English Ostrava Compulsory study plan
2020/2021 (P0413D050002) Economy and Management K English Ostrava Compulsory study plan
2020/2021 (P0413D050002) Economy and Management P English Ostrava Compulsory study plan
2020/2021 (P0311D050020) Systems Engineering and Informatics K English Ostrava Compulsory study plan
2020/2021 (P0311D050020) Systems Engineering and Informatics P English Ostrava Compulsory study plan
2019/2020 (P0311D050004) Economics P English Ostrava Compulsory study plan
2019/2020 (P0311D050004) Economics K English Ostrava Compulsory study plan
2019/2020 (P0413D050002) Economy and Management P English Ostrava Compulsory study plan
2019/2020 (P0412D050004) Finance P English Ostrava Compulsory study plan
2019/2020 (P0412D050004) Finance K English Ostrava Compulsory study plan
2019/2020 (P0413D050002) Economy and Management K English Ostrava Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner