The authors consider the need to adapt new employees at the enterprise through the use of an electronic course. The article provides definitions of the concepts "e-course", "adaptive e-course". The adaptive e-course is a course designed to familiarize new employees with the history, structure and corporate values of t he company, allowing the new employee to be adapted to unusual labor and psychological factors. The analysis of adaptive courses is carried out and the main technologies of e– course development are highlighted (virtual and augmented reality technologies, gamification, online chats, LMS and corporate learning portals, machine learning and artificial intelligence, learning Analytics and BigData, storytelling). The advantages of storytelling technology in the development of an adaptive e -course, especially in providing psychological support during the adaptation period, are considered.

The article is available the problem of developing an online store. National statistics of the Republic of Kazakhstan for 2018. The advantage of the developed online store "EComKZ" and client-server application "EComQazaqstan". Services from Google companies are described, NoSQL databases are reviewed, and tools for creating an online store are provided.

The article presents the results of the study of adaptive and productive qualities of the mountain-Altai breed of goats and their crossbreeding in the specific natural-climatic conditions of the region. The possibility of importing the mountain-Altai breed of goats and further breeding it in the conditions of northeast Kazakhstan has been determined

Main problem: Microbial-plant relationships, including epiphytic microflora, are the subject of attention of many scientists. Numerous works confirm the high interest of researchers and the relevance of studying this topic. Despite many years of research, some questions concerning the characteristics of the epiphytic microflora still remain open. It is already a well-known fact that the epiphytic microflora is directly related to the physiological development of the plant, including yield. This is due to the close interaction of the plant with the microorganisms living on its surface throughout the entire growing season. It is also proved that epiphytic microflora has the ability to change characteristics under the influence of environmental factors (temperature, humidity, soil contamination, sunlight, etc.). In this regard, the study of this topic is one of the important areas of biological and agricultural sciences and is of high importance. It should be noted that a significant role in the development of agriculture in the Republic of Kazakhstan and the Pavlodar region is played by representatives of vegetable crops, including tomatoes and potatoes belonging to the Solanaceae family, which indicates the high importance of the plants selected for the study. The combination of the above arguments determines the need to study the epiphytic microflora of plants and establish the regularities of its influence on the adaptive properties of the studied plants of the Solanaceae family, as well as on their productivity. In turn, the study of epiphytic microflora can also contribute to the search for new ways to increase the yield of plants and their resistance to various diseases. Purpose: The article is devoted to the study of the properties and characteristics of the epiphytic microflora of the surface of various organs of plants of the Solanaceae family (on the example of tomato and potato). The variability of the composition and number of epiphytic microorganisms in seasonal dynamics is shown. Methods: bacterioscopic method, fingerprint method, flushing method, Gram staining method. Results and their significance: The characteristics and properties of representatives of epiphytic microorganisms of aboveground (leaf, fruit, flower) and underground (potato fruit) plant organs were studied. The role of the influence of environmental factors on the variability of epiphytic microflora is determined on the example of plants Lycopersicon esculentum Mill. (common tomato) and Solanum tuberosum L. (tuberous nightshade). The differences in the microflora of different plant organs in different periods of vegetation are shown.

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.

Increasing the yield of sunflower is inextricably linked with the evaluation of newly created interline hybrids and their components (parental forms) using various methods for assessing their combination ability (CА). Breeding research in this direction includes large material and practical costs when using the developed methods for assessing combination ability (CА) due to its small analytical capabilities. New approaches to the analysis of the productivity of hybrids in practical studies can significantly increase the volume of the analyzed material and evaluate not only for a short period of testing, but also for a long period of time over the years. Purpose is determination of the combination ability of parental forms of sunflower interlinear hybrids to optimize the breeding process. When analyzing the determination of the combination ability of the parental components of sunflower interlinear hybrids, the method of evaluating the CА according to a special scale developed at VNIIMK (Krasnodar, Russia) was used. This method makes it possible to analyze a large number of hybrid combinations and their parental forms and draw appropriate conclusions for further use in the breeding process. The analysis of the obtained results makes it possible to fully evaluate the obtained interline hybrid combinations by years of testing. We analyzed 1736 hybrid combinations involving 212 maternal forms and 1472 combinations involving 209 paternal pollen fertility restorer lines. 75 maternal lines with a high total combination ability (GCА) and 97 paternal forms with this trait were identified. Maternal lines with high combinational ability VKU 110 A, VKU 140 A and SV 55 A are of interest for use in practical breeding. Among the paternal forms are SV 123 V, VKU 400 V and VKU 401 V. The components of hybrid combinations with high specific combination ability (SCА) have been determined. These are lines VKU 414 A, VKU 413 A, SV 31 Rf, SP 1459. Hybrids with high adaptive properties have been identified when growing conditions change, which will make it possible to purposefully conduct practical breeding to maintain high productivity of sunflower hybrids