scholarly journals Structure development of diagnostic providing and diagnostic model of axle boxes in modern railroad cars

2015 ◽  
Vol 5 (3(25)) ◽  
pp. 26
Author(s):  
Вадим Михайлович Петухов
Author(s):  
M. M. Klunnikova

The work is devoted to the consideration of improving the quality of teaching students the discipline “Numerical methods” through the development of the cognitive component of computational thinking based on blended learning. The article presents a methodology for the formation of computational thinking of mathematics students, based on the visualization of algorithmic design schemes and the activation of the cognitive independence of students. The characteristic of computational thinking is given, the content and structure of computational thinking are shown. It is argued that a student with such a mind is able to manifest himself in his professional field in the best possible way. The results of the application of the technique are described. To determine the level of development of the cognitive component of computational thinking, a diagnostic model has been developed based on measuring the content, operational and motivational components. It is shown that the proposed method of developing computational thinking of students, taking into account the individual characteristics of students’ thinking, meaningfully based on the theoretical and practical aspects of studying the discipline, increases the effectiveness of learning the course “Numerical methods”. The materials of the article are of practical value for teachers of mathematical disciplines who use information and telecommunication technologies in their professional activities.


Author(s):  
Alexey А. Bezrodny ◽  
◽  
Van Tszin ◽  
Anatoly M. Korolyonok ◽  
◽  
...  

Author(s):  
Irina Bystrova ◽  
E. Danil'chuk ◽  
Boris Podkopaev

The problem of constructing a diagnostic model for a network S consisting of a number of digital automata is considered, provided that the diagnostic models of all network components are known. It is assumed that these models are given by systems of logical equations, and the errors to be detected are localized in any but a single component of the network.


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