Operations Research

Type: Normative

Department: department of digital economics and business analytics




SemesterAmount of hoursLecturerGroup(s)
716Associate Professor Myshchyshyn O. Y.

Laboratory works

SemesterAmount of hoursGroupTeacher(s)
732УФЕ-41сAssociate Professor Myshchyshyn O. Y.

Course description

The program of study of the normative academic discipline “Business Intelligence and Data Science Technologies” is compiled in accordance with the educational and professional master’s training program of training direction 05 – “Social and behavioral sciences”.
The subject of the academic discipline is mathematical methods and models used in the process of solving optimization problems and problems of forecasting the dynamics of socio-economic processes that arise in the process of functioning of dynamic deterministic and stochastic systems in macro- and microeconomics.
The purpose of the educational discipline “Technologies of Business Intelligence and Data Science” is: formation of a system of knowledge on methodology and tools for building and using various types of economic and mathematical models
Main tasks
The tasks of the educational discipline are: study of the basic principles and tools of setting problems, construction of economic and mathematical models, methods of their solution and analysis for the purpose of use in the economy
The place of the academic discipline in the structural and logical scheme of master’s training
The educational discipline is interconnected with such disciplines as “Algorithmization and programming”, “Quantitative methods in economics and management”, “Economic-mathematical modeling”.
Requirements for knowledge and skills:
As a result of studying the educational discipline “Technologies of Business Intelligence and Data Science”, the student has:
a) to know
principles of construction of numerical algorithms;
basic methods of accounting for errors in numerical solutions;
methods of obtaining numerical solutions using computer technology;
the essence and basic principles of building algorithms for calculating tasks;
formulation and methods of solving a linear problem;
type of transport problem and methods of solving it;
the essence of econometric modeling and its stages;
methods of estimating the parameters of the econometric model;
methods of assessing the adequacy of econometric models and their parameters.
b) to be able to
analyze and develop algorithms for solving problems using numerical methods;
develop software applications using numerical methods by means of visual design;
use tools of mathematical programs and packages;
estimate errors and analyze the obtained solution;
build mathematical models of economic problems;
solve linear programming problems;
carry out construction and solving of transport problems;
identify variables and specify econometric models;
evaluate the parameters of the econometric model;
check the adequacy of econometric models and their parameters;
perform point and interval forecast.

Recommended Literature

Basic literature:
1. P Wilmott, S D Howison and J Dewynne, Mathematics of Financial Derivatives, CUP (1995).
2. A Etheridge, A course in Financial Calculus, CUP (2002).
3. N. Neftci, An Introduction to the mathematics of financial derivatives, (Academic Press, 2000).
4. Chatfield, C., The Analysis of Time Series: An Introduction (6th ed.), Chapman & Hall, CRC Press, 2004.
5. Brockwell, P. J. and Davis, R. A., Introduction to time series and forecasting (2nd ed.), Springer, 2002.
6. Bouchaud, J.-P. & Potters, M., Theory of Financial Risk and Derivative Pricing: From Statistical Physics to Risk Management, (2nd ed.), Cambridge University Press, 2004.
7. Wilmott, P., Quantitative Finance, John Wiley & Sons, 2001.
8. Brigham, E.F., Erhardt, M.C. (2008): Financial Management – Theory and Practice. Thomson.
9. “Fundamental Methods of Mathematical Economics,” by Alpha Chiang and Kevin Wainwright, McGrawHill/Irwin, 4th edition (October 2004), ISBN-13: 978-0070109100.
10. Vitlinsky V.V., Tereshchenko T.O. Economic-mathematical methods and models: econometrics [Electronic resource]: textbook / V. V. Vitlinskyi [etc.]; Ministry of Education and Science of Ukraine, State Higher Secondary School “Kyiv. national economy University named after Vadym Hetman”. – Electron. text data. – Kyiv: KNEU, 2013.
11. Fedorenko I.K., Chernyak O.I., Karagodova O.A., Chornous G.O., Gorbunov O.V. Studies of operations in the economy K.: Znannia, 2007. – 559p.
12. Kharlamova G.O., Chernyak O.I. Applied econometrics. Study guide for students of economic specialties at the “master’s” educational qualification level. – K.: Scientific World, 2011. – 188 p.
13. Chernyak O.I., Stavytskyi A.V., Chornous G.O. Economic information processing systems: Textbook. – K.: Znannia, 2006.
14. Mathematical statistics: teaching. manual [Electronic edition] / [S. M. Grigulych, V. P. Lisovska, O. I. Makarenko, etc.]. – K.: KNEU, 2015.
15. V. M. Zadachyn. The working program of the educational discipline “Numerical methods” for students of the “Computer science” training course of all forms of education / V. M. Zadachyn, I. G. Konyushenko. – H.: Ed. Khneu, 2012. – 40 p.
16. Vasylkiv I.M., Karpinskyi B.A., Maksimuk O.V., Shkulka S.K. Introduction to econometrics: Education. manual – Lviv: Lviv National University. I. Franka, 2015. – 280 p.
17. Chemerys A., Yurynets R., Myshchyshyn O. Optimization methods in economics. Tutorial. – K.: Center of Educational Literature, 2006. – 152p.
18. Vitlinsky V.V., Nakoneniy SI., Tereshchenko T.O. Mathematical programming: Teaching method, self-help manual. studied disc. – K.: KNEU, 2001. – 248 p.
19. Ulyanchenko O. V. Operations research in the economy / Kharkiv National Agrarian University. V. V. Donugaeva. – Kharkiv: Grif, 2002. – 580 p.
20. Vitlinsky V.V. Modeling of the economy. Tutorial. – K.: KNEU, 2003. – 408 p.
21. Klebanova T. S. Mathematical methods and models of the market economy: teaching. manual / T. S. Klebanova, M. O. Kyzim, O. I. Chernyaktain. – Kh.: VD “INZHEK”, 2009. – 456 p.
22. Lukyanenko I.G., Krasnikova L.I. Econometrics: Textbook. – K.: “Knowledge” Society, KOO. 1998. – 494 p.
1. Nakonechny S.I. Tereshchenko T.O. Econometrics: Teaching method, self-help manual. studied disc. – K.: KNEU. 2001. – 192 p.
2. Kolodnytskyi M. M. Fundamentals of the theory of mathematical modeling of systems. – Zhytomyr, 2001. – 718 p
Internet sources:
1. Official website of the State Statistics Service [Electronic resource]. – Access mode: www.ukrstat.gov.ua.
2. Official site of the project “Doing Business” [Electronic resource]. – Access mode: http://www.doingbusiness.org.
3. Official website of the Statistical Service of the European Union [Electronic resource]. – Access mode: http://ec.europa.eu/eurostat.



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