Индекс образовательной инфраструктуры субъектов Российской Федерации в 2014 г.: Факты образования. Спецвыпуск №1 (август 2016 г.)
Managerial decision – making in higher education in Russia and some of its regions requires complete, precise and relevant information about the current state of higher education system. An important and the most precise source of information on Russian higher educational institutions activities at the present moment is the database of Higher education organization efficacy monitoring. The aim of this research article is to give a qualitative description of higher education system in the Asian part of Russia according to the set of characteristics on the basis of efficacy monitoring results for 2014. The result of the research allow for subdividing higher educational organizations in the region under analysis into groups on the basis of such characteristics as status, legal form, type of activity, student number and branch affiliation. The authors conduct the analysis of territorial positioning of higher educational institutions and spread of students among different types of organizations and specializations. Authors use descriptive methods of quantitative data analysis. According to the results of the research state higher educational institutions in the Asian part of Russia are usually situated in major cities and teach the majority of students. Smaller towns usually host private higher educational institutions or remote branches. More than a half of higher educational institutions in the region are remote branches (58 %) that teach only 11.2 % of the total number of students. Majority of educational institutions fall under the control of Russian Federation Ministry for Education and Science (42 %). They teach 69 % of the total number of students. There is a considerable number of private higher educational institutions (27 %) but they teach only 4% of the total student number. Higher education institutions in the region train students in 28 specializations. Economics and management is the most popular with 23.2 % of the total number of students. This specialization is taught at 84 % of all the higher educational institutions. About 90 % of private educational institutions offer only two specializations: Economics and management and Humanities. Educational institutions affiliated with different branches of economy usually conduct training in the relevant specializations. For example higher educational institutions related to the Russian Federation Ministry of agriculture train 92 % of all the students in the region studying specialization “Agriculture and fish resources”. Russian Federation Ministry for Health care and social development educational institutions train 91 % of students studying medicine. The region rich in mineral and natural resources has developed branches related to mining and processing. At the same time specializations related to these field are studied by about 3 % of the total number of students in the region. There is a noticeable excess of specialists in humanities and economics. This article is one of the first attempts to describe the higher education system state in this major geographical region on the basis of efficacy monitoring data. Earlier researches had a more general description of monitoring results, gave detailed analysis of its data for one particular region or were devoted to discussion and criticism of the procedure. Materials presented in the article can be of interest for researchers and analytics working in the educational sphere as well as university heads and representatives of executive bodies of the Russian Federation territories dealing with education.
The article presents the results of the study, which aims to evaluate the condition of higher education system in the Central Federal District (CFD) on the basis of statistical data from the project - Monitoring the efficiency of higher educational institutions in 2014. The higher educational institutions have been arranged into groups according to various criteria: status, organizational and legal form, specialization, number of students and departmental affiliation. The article analyzes the location of higher educational institutions within the district and the distribution of the reported number of students at institutions of various types and groups of specialties (majors). According to the results of the research the majority of the state higher educational institutions in the CFD are located in major cities. Private universities and branches are mainly located in small and medium-sized cities. Approximately one third of higher educational institutions is affiliated with the Ministry of Education and Science of the Russian Federation and is attended by 59,1% of the students in the district. The proportion of non-state higher educational institutions is also considerable (43,2%); however they are attended only by 8,4% of students. Higher educational institutions affiliated with the sectoral ministries, generally offer specialties corresponding to the profile of the ministry. The most popular fields of study in the CFD are: «Economics and Management» and «Humanities»; almost half of the total number of reported students is enrolled in them.
The article describes main problems with process management and BPMS technologies in the education system, the issues of integration between process management and business intelligence systems in educational IT infrastructure. The future potential of data-centric systems in educational institutions and modern approaches to increasing the value of information are considered.
We consider certain spaces of functions on the circle, which naturally appear in harmonic analysis, and superposition operators on these spaces. We study the following question: which functions have the property that each their superposition with a homeomorphism of the circle belongs to a given space? We also study the multidimensional case.
We consider the spaces of function on the circle whose Fourier transform is p-summable. We obtain estimates for the norms of exponential functions deformed by a C1 -smooth phase.
We consider the spaces of functions on the m-dimensional torus, whose Fourier transform is p -summable. We obtain estimates for the norms of the exponential functions deformed by a C1 -smooth phase. The results generalize to the multidimensional case the one-dimensional results obtained by the author earlier in “Quantitative estimates in the Beurling—Helson theorem”, Sbornik: Mathematics, 201:12 (2010), 1811 – 1836.