Present-day condition and objectively established trends of developing mineral and crude base of non-ferrous metallurgy have predetermined two main directions in mineral raw materials processing. The first direction is based on some traditional technologies of free-milling ore processing with receiving of mono selective concentrates at the enrichment stage with following recycling them using already known pyro-, chemico-, hydrometallurgical methods. The main way of developing this direction is invention of high-performance combined processes and combined technological schemes. The second direction covers difficult raw material. It is based on combined technologies providing a discharge of advantageous components into the mono selective concentrates at the step of enrichment. At the other steps – transfer of refractory mineral assemblages into a polymetallic products and their further selection using enrichment, pyro- and hydrometallurgical methods. Among various methods of influence on the mineral assemblages, there are two groups, applicable in combined technology systems, to highlight. These are enrichment based on energy and chemical-metallurgical impacts at the finalizing step, where the necessary increase of completeness and complexity of crude ore applying might be provided only by processing it using combined technologies, which optimally match the both of selected groups.

No abstract

The article actualizes the need for teaching students to work with Big Data technologies. Big Data is a promising and fundamental industry that requires a large number of qualified specialists in various fields. The aim of the work is to describe the concept of determining a set of hardware, software, algorithmic and methodological tools (taking into account the contingent of students and the capabilities of the educational institution) for building a methodology for teaching a discipline related to the study of Big Data processing methods. There are two main sectors of stakeholders who need specialists in the field of Big Data. A detailed comparative analysis of software solutions that support Big Data processing is carried out. The article describes the methodology for constructing a course for teaching students technologies for processing and analyzing Big Data. A plan for organizing a lecture course and laboratory practice with consideration of subtasks is proposed for students to perform during training. The composition and methodology of independent work of students in the discipline related to the study of Big Data, using a learning management system such as Moodle, are discussed. An example of implementing data processing by means of the RapidMiner Studio package using a multi-layer neural network training algorithm using the error back propagation method is presented.

One of the key components of effective production organization at the enterprises of the radio electronic industry is the need to take into account the risk environment, and take measures to minimize the likelihood of risk occurrence. The main problem is the probabilistic nature of the manifestation of risk. The probability is manifested in the realization of the risk and its duration, which, in the final analysis, will lead to financial losses. The article proposes an approach to building the core of the system of technical and economic risks and their interrelationship in the organization of production at the enterprises of the radio electronic industry. In the article it is proposed to use basic modules for estimating the limiting probabilities of various states of technical and economic risks for which special systems of linear algebraic equations are developed. In this case, to determine (calculate) the estimate, we can use the results of solving a system of linear algebraic equations. In addition, these results allow for the assessment of the stationary state of the basic modules of the technical and risks system in the organization of production at the enterprises of the radio electronic industry. When solving a system of algebraic equations, it is suggested to use the standard approach, namely, the limit transformation of the system of Kolmogorov's differential equations for state probabilities. The article concludes that to assess the impact of technical and economic risks on the effectiveness of the organization of production of enterprises of the electronic industry, it is necessary to assess the likelihood of finding a system of technical and economic risks in the state of their implementation. The results of such an assessment will allow to determine two main components - the intensity of the events' flows associated with the emergence (implementation) of technical and economic risks and the time (duration) of their finding in the state of realization (negative state).

The specificity of the organization of the picture of social and historical reality lies in the integral unity of conceptual-rational and emotional-irrational components of reflection, as a result of which the image of history acquires the characteristics of mythologism. The author concludes that the mythologema resulting from the organic synthesis of objective characteristics of history and subjective institutions of sociocultural discourse is an integral feature of the organization of the picture of social and historical reality.