In the article is considered the necessity of presence of web-resource of educational subdivision of institution. The basic requirements are certain to the web-resource. Description over of the worked out web-site and applied toolset is brought.

In the article are the concept of image and his basic descriptions. The analys is produced by modern mass medias of forming’s image of higher educational establishment. Advantages of the internet are certain for the achievement of aims of forming of image of institution of higher learning

The purpose of this work is to create an information system that promotes Kazakh language popularization in social networks. Kazakh language usage analysis in the Internet had been made. The database and software with a bilingual interface that generate and send messages in the Internet has been developed. Increasing Kazakh language popularity methodology using a messenger program is also suggested.

The purpose of the work is the creation of an information system that allows to carry out activity on accounting and keeping statistics on the means of measurement used in production. An analysis of the use of such a system at a number of large industrial enterprises is performed. The database and the program working with a database of means of measurement on required technological positions and maintenance are developed. The program provides graphs on the accumulated statistical data.

The article considers basic principles and approaches for creation of an electronic textbook, the stages of introduction of information and communication technologies in the learning process. The main stages of creating an electronic publication in accordance with the requirements for the development of a modern textbook are presented.

This article describes the effect of pre- and probiotics on the condition of intestinal microflora for newborn calves. It has been established that in the intestines of calves, in addition to lactic and bifidobacteria, conditionally pathogenic bacteria such as E. coli, staphylococcus and streptococcus are contained. When taking pre- and probiotics in the experimental groups of animals, a decrease in the content of conditionally pathogenic microflora was observed with a dynamic increase in obligate, which indicates a positive effect on the formation of intestinal microbiocenosis during the milk period.

This article describes the effect of pre- and probiotics on the digestibility of feed by newborn calves. The calves of the experimental groups had a high growth energy, which was reflected in the absolute growth rates and their development.

The paper is devoted to solving logistics problems based on information technologies. Petri net-based modeling is proposed as a solution method. The paper describes solution of the problem of supply chain management based on the Petri net.

The article is devoted to solving the optimization problem of finding an energy-efficient mode operation of one of the types of energy-intensive industries with the properties nonlinearity, inertia, and isolation. An optimization model based on a genetic algorithm is considered as a solution method. Moreover, the calculation of the fitness function for the selection of chromosomes is proposed to be calculated on the basis of fuzzy logic

The article is devoted to the task of automating the assessment of the electrical safety level of electrical installations based on the determination of the electrical resistivity of soil layers ρ in specific climatic conditions. The soil ρ value depends on many factors, which can vary significantly during the year. Therefore, the decision was made using modeling based on one of the areas of artificial intelligence: fuzzy logic.

When managing a filling station chain, it is necessary to solve the following tasks in dynamics: determining the volume of purchases by types of oil products sold and redistributing the available volume of various types of oil products to filling station chain. The peculiarity of this control task is that the replenishment of the storage of oil products is carried out centrally, and the sale of each type of fuel is carried out at separate filling stations of the network, that is, in many points. At the same time, the volume of each type of fuel sold by each station of the network should be taken into account separately, taking into account the seasonal demand for a specific oil product. In addition to modeling demand, information is needed on the volume of petroleum products that can be purchased from suppliers with the possibility of increasing or decreasing the volume of purchases due to demand. To solve this problem, a list of suppliers of a specific type of oil product with a possible range of supply volumes must be determined. In the proposed model, an attempt is made to solve the above problems. To solve them, a management model was developed, which was implemented using the Visual Studio C # programming environment and MS SQLServer DBMS. When developing the structure of the database tables, the task of managing a network of filling stations based on the Petri net was taken into account: that is, the database tables provided for storing information on the volumes of supplies of petroleum products, the volume of sales of each type of petroleum product, as well as the time of deliveries and sales. To solve the problem of centralized procurement for all types of fuel, the database provided tables with information about suppliers and possible volumes of supplies by them of various types of petroleum products. To solve the problems of forecasting demand, the model includes algorithms for predicting the volume of sales of petroleum products based on the accumulated time series of data for each type of fuel separately. The forecasting was carried out in order to assess the required volumes of purchases of oil products for the coming period. The prediction algorithms are implemented using two methods: linear approximation and exponential smoothing. Both algorithms take into account the seasonality of demand.

The present stage of development of power systems is characterized by the need to increase their intelligence, that is, the formation of an environment capable of solving the problems of effective management of all components included in the power system. One of the features of modern energy systems is an active consumer, that is, a consumer who has the opportunity to optimize the schedule of loading their capacities, planning energy consumption, intellectualization of energy consumption. In addition to the fact that there are digital systems for collecting, processing and presenting information, as well as transmitting this information via the Internet, to solve the most difficult task of managing power systems, it is necessary to develop a large number of models adequate to real processes that can describe the processes taking place in the power system under consideration. The purpose is to develop models capable of adequately describing the interrelated processes occurring in the considered elements of the power system, as well as in the aggregate of related elements; development of methods that allow solving problems of effective control of elements of energy systems on the basis of the proposed intelligent models. To solve the problem of increasing the intelligence of the power system, nonlinear adaptive models of electrical complexes of an energy-intensive enterprise included in the power system were developed on the basis of balance equations and artificial intelligence methods. The production of alumina with the properties of inertia, nonlinearity and closure is chosen as the production under consideration. This type of production was chosen as the most difficult to predict due to the unpredictability of changes in energy consumption during the transition to other modes of its operation, associated, for example, with the receipt of raw materials with a different chemical composition for processing. Static and dynamic models of energy consumption of electrotechnical complexes with continuous inertial nonlinear closed production based on artificial intelligence methods have been developed, which makes it possible to eliminate the need to use long time series of retrospective data. For the considered type of continuous energy-intensive production, dynamic characteristics of energy consumption and technological processes are obtained from the main controlled parameters, which make it possible to predict emergency situations and partly man-made disasters. On the basis of a genetic algorithm, a multiparametric optimization problem of energy management of continuous production has been solved, taking into account technological parameters and cost factors.