International Journal of Advanced Studies (Dec 2018)
STATISTICAL DATA ANALYSIS AND FORECASTING OF QUALITY OF PREPARATION OF BACHELORS (FOR EXAMPLE, AREAS OF TRAINING 09.03.03, PROFILE APPLIED INFORMATICS IN ECONOMICS, NCI KFU)
Abstract
In scientific work arguments of the analytical description of an assessment of quality of level of training in preparation of it-specialists in the field of national economy with application of qualimetric methods for are given. The readers are offered an analysis of the methods of assessing the level of training, the methods of mathematical modeling in connection with the objects of management of the educational process in the University. the insufficiency of the developed methods of assessing the level of formation of professional competencies of it-specialists of applied Informatics in the economy has determined the relevance of the problem. The object of the research is the theoretical and statistical tools of mathematical modeling of the educational process aimed at the formation of professional competences of future it-specialists in applied Informatics in Economics in the University, the subject of the study was specification of mathematical models of formation of professional competence of University graduates, methods of mathematical modeling of the educational process, algorithms based on the use of statistical tools S-criterion of the tendencies of Jonker, T-test, Wilcoxon, Pearson’s χ2, φ-criterion (angular transformation) Fisher, estimating the level of formation of professional competence of future it-specialists in applied Informatics in Economics and conduct temporary data forecasting. In General, the study presented for discussion was aimed at: scientifically substantiating the analysis of the results of the formation of professional competence by statistical methods on the example of the direction 09.03.03 Applied Informatics in Economics at the Naberezhnye Chelny Institute of KFU (NPI KFU).
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