The design process of a transformer is characterized by conflicting requirements for its qualities. This circumstance is due to the fact that the transformer includes a large number of elements and is manufactured on individually tuned equipment. Moreover, the production of transformers is associated with the cost of such valuable materials as copper, aluminum, steel, etc. Thus, the transformer is a complex system, the high-quality design of which is difficult without automation. It is proposed to speed up the process of calculating the internal isolation of a transformer using a parallel computing environment and the use of fast algorithms. Methods of mathematical modeling of physical objects, methods of applied mathematics, principles of computer modeling of physical objects, algorithms for parallelizing the computing process in interfaces with shared memory, analysis of the results of computational experiments are applied. A software system has been developed for the automated design of the internal isolation of the high-voltage input of the transformer...

The article describes an intelligent predictive system that allows evaluating the student's capabilities in various areas of analytical activity. When designing the prognostic apparatus of this system, a hybrid intelligent approach is taken, combining the advantages of existing methods. Its components are the neural network model and a group method of data handling. In addition, the most popular professions in the labor market are identified; professional skill maps are developed on the basis of the requirements. The training sample of the system is supplemented with images generated through the Monte Carlo method. Applying data on student success in selected key disciplines, as well as other available information, the system offers a numerical equivalent of potential for these professions. In addition to the recommendations, a student has the opportunity to timely and consciously adjust the educational focus of his educational process; this has a positive effect on the graduates' competitiveness in a higher educational establishment.