Economic expediency and attractiveness of life quality improving are accompanied by risks of increasing instability and possible collapse of the world system. Forecasts of the labour market change connected with automation of working places and mass unemployment cause concerns. The task of risk management in the personnel training system for introduction of new information technology is considered. The purpose of the research is development of the methodology based on the models of competences including requirements for safe application of information-measuring systems, as well as for an education level, work experience and permit-to-work documents in new conditions. A complex of new mathematical models, methods and technologies providing safety of the process of information technology introduction owing to the systemic approach to risk minimization is taken as a basis of the methodology. Invariant models provide economic effectiveness of processes of designing the system of safety and planning of educational paths. Models of personal paths of development and classes of competences provide didactic safety. Decision-making methods provide information, psychological, social and economic safety of the process of information technology introduction. The methodology is realised when introducing distance learning technologies in educational organisations of Chelyabinsk and the Chelyabinsk region.

A strong correlation of the problem of guaranteed information security provision with the human factor and the escalation of threats to information security for professional activity in information society prove the importance of the relevant proper training of highly qualified personnel.The theoretical justification of the integrated approach to modeling students’ information and communication competence (IC competence), including new structure and content of students' preparation under integration of the classical system and e-learning with the development of adequate forms and methods of teaching, promotes the high level of professional competence.The scope of research is represented by the principles of computational modeling of IC competence, formed as a result of continuous staged personnel training in "Professional Education (by Industries)" based on the Federal State Educational Standard of Russia.The research offers an integrated approach to computational modeling of students’ IC competence based on the classification of competencies demonstrating the projection of a professional competency vector on a plane of information and communication technologies (ICT plane) acting as a model of students’ IC competence. Here, any ray of the ICT plane may act as a model of IC competence in a certain specialization of proper training of highly qualified personnel in any industry. Such an approach to IC competence of a graduate of an educational organization is determined by respective aims and fields of professional activity corresponding to IC competencies.The methodology of content design has been developed for educational disciplines in continuous information and academic training of graduates under e-learning, as well as an algorithm based on the competence approach, making it possible to explicitly determine the generation path of IC competence of professional education organization graduates having different basic training, which eliminates the threat of insufficient or excessive content of the intended study materials.

The authors continued their research on the development of an intelligent automatic ships pilot containing a controller based on fuzzy logic. Its features are determined by the optimizer based on a genetic algorithm. It also contains a modular unit of neural network models of ship navigation paths, as well as a neural network classifier. This paper is devoted to the description of a neural network classifier designed to classify the movement patterns of marine vessels to identify the peculiarities of the ship depending on its type and sailing conditions. The introduction of such classifier to an autopilot allows for more precise consideration of multivariate and difficult to formalize factors affecting the vessel while operating, such as varying weather conditions, irregular waves, hydrodynamic characteristics of the vessel, draft, water under the keel, rate of the vessel sailing, etc. The article outlines the technique concerning the development of a neural network classifier and the results of its computer modelling on the example of a refrigerated transport vessel type. The authors used such methods for obtaining and processing findings as spectral estimation, machine learning methods, in particular, neural network technology and computer or simulation modelling.

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A method is developed for optimizing the tool distribution within a multispindle automatic lathe on the basis of a mathematical model in which the influence of tools at longitudinal and transverse supports on the dimensional precision is taken into account. That permits calculation of the tool distribution over the positions within the lathe so as to ensure maximum machining productivity.