M. Shopova. Quantitative methods in economics training.

Authors

  • Маргарита Шопова Хозяйственная академия им. Д. А. Ценова - Свищов, Р. Болгария, Bulgaria

DOI:

https://doi.org/10.31498/2225-6725.34.2017.128861

Keywords:

quantitative methods in economics, application of mathematics in economics, mathematics training for economists.

Abstract

The development of modern economic science is inextricably linked with the use of quantitative methods in research. Mathematical knowledge is needed to facilitate the study of economic disciplines at a modern level. This paper focuses on the potentialities of mathematics learning for the economic training of students. It presents different aspects of the application of mathematics in economics and economic research as well as the use of mathematical models. The paper justifies the need for designing an appropriate mathematics course, which will provide future economists with theoretical knowledge and practical skills to solve real business problems.

References

  1. 1. Apostolova-Politova, L. Vazmozhnosti za izpolzvane na mezhdupredmetnite vrazki na matematikata i ikonomikata pri obuchenieto na chuzhdestranni studenti. XX International scientific conference, St. Zagora, 3-4 June 2010. http://sustz.com/.
  2. 2. Bannock, G., R. Baxter, E. Davis. Svetoven rechnik po ikonomiks [International dictionary of Economics]. Burgas, Delfin pres, 1992.
  3. 3. Blagoev, B. i M. Bliznakov. Mikroikonomika. Varna, sdruzhenie “AL”, 1992.
  4. 4. Ganchev, I. Kakvo matematikata e davala, dava i mozhe da dade na drugite nauki. V: Predizvikatelstvata na informatsionnoto obshtestvo pred statistikata i matematikata – vek XXI. International scientific and practical conference. Svishtov, AI „Tsenov“, 2003.
  5. 5. Malykhin, V. I. Matematika v ekonomike. Uchebnoye posobiye. Moskva, INFRA-M, 2000.
  6. 6. Nikolova, N. Kolichestvenite metodi pri izsledvaniyata na balgarskata ikonomika – v hronologichen rakurs i perspektiva. V: Kolichestveni metodi v ikonomikata – klasika i novatorstvo: Scientific conference with international participation, Svishtov 12-15 October 2000. Svishtov, AI „Tsenov“, pp. 245-251.
  7. 7. Nobelova nagrada po ikonomika. http://www.unwe.bg/bg/pages/2864/ nobelova-nagrada-po-ikonomika.html.
  8. 8. Slavov, Z. and H. Evans. Prilozhenie na matematikata v ikonomikata: hronologiya, znaniya, obrazovanie i profesii. e-Journal VFU, Matematika, statistika, fizika, himiya, №3. http://ejournal.vfu.bg/.
  9. 9. Smith, А. Matematichesko vavedenie v ikonomikata. S., UI “Sv. Kl. Ohridski”, 2000.
  10. 10. Solodovnikov, A.S., V. A. Babaytsev and A. V. Brailov. Matematika v ekonomike. Uchebnik (v dvukh chastyakh). Moskva, Finansy i statistika, 2000.
  11. 11. Veleva, V. Za saotnoshenieto kolichestveni i kachestveni metodi v sotsialnite izsledvaniya. V: Savremenno razvitie na statistikata i informatsionnite tehnologii. National scientific conference, dedicated to the international year of statistics, Sofia, 3 October 2013. Sofia, Izdatelski kompleks UNSS, 2015, pp. 32-38.
  12. 12. Venttsel', YE. S. Issledovaniye operatsiy. Zadachi, printsipy, metodologiya. Moskva, Nauka, 1988.

Published

2017-09-28

How to Cite

Шопова, М. (2017). M. Shopova. Quantitative methods in economics training. REPORTER OF THE PRIAZOVSKYI STATE TECHNICAL UNIVERSITY Section: Economic Sciences, (34), 25–30. https://doi.org/10.31498/2225-6725.34.2017.128861

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