МАТЕМАТИЧЕСКАЯ МОДЕЛЬ ФОРМИРОВАНИЯ БАЗОВОЙ СТАТИСТИЧЕСКОЙ ВЫБОРКИ ДЛЯ ОЦЕНКИ УРОВНЯ ОСВОЕНИЯ ЦИФРОВЫХ КОМПЕТЕНЦИЙ ПРЕПОДАВАТЕЛЕЙ
Abstract
About the Authors
Светлана АвилкинаRussian Federation
Марина Бакулева
Russian Federation
Надежда Клейносова
References
1. eferences
2. Bakulev A.V., Bakuleva M. (article). The mining association rules based on the derivative of the graph model. Bulletin of RSREU. Scientific and technical journal. Issue 21. Ryazan: RSREU, 2007. С. 57-60.
3. Bakulev A.V., Bakuleva M.A., Avilkina S.V. New information technologies for formation of common information space in studies of graphs theory // Scientific and practical journal: Economics, statistics and computer science, Vestnik UMO. 2013. №4, p. 3-6.
4. Bakulev A.V., Bakuleva M. A. Application of wavelet transform for analysis of the data warehouse (article). Bulletin of RSREU. Scientific and technical journal. Issue 21. Ryazan: RSREU, 2007. С. 57-60.
5. Kleynosova N.P. Experience of using the distance learning system RGTU for training IT-specialists // Distance and virtual training. –2016. - № 4. - С.62-68.
6. Index «Digital Russia» [Electronic resource] // Access mode: https://finance.skolkovo.ru/downloads/documents/FinChair/Research_Reports/SKOLKOVO_Digital_Russia_Resume_2018-10_ru.pdf
7. Minashkin V.G., Prokhorov P.E. Statistical analysis of the use of digital technologies in organizations: regional aspect. Statistics and Economics. 2018;15(5):51-62. (In Russ.) https://doi.org/10.21686/2500-3925-2018-5-51-62
8. Dneprovskaya N.V. Assessment of the readiness of the russian higher education for the digital economy. Statistics and Economics. 2018;15(4):16-28. (In Russ.) https://doi.org/10.21686/2500-3925-2018-4-16-28
Review
For citations:
, , . Statistics and Economics. 2018;15(6).
.png)
.png)
Email this article 