The article discusses modern concepts, strategies and decision-making models for creating an information-analytical decision support system in "North-Kazakhstan Agricultural Experimental Station" LLP. The international experience of using the method of hierarchy analysis for making management decisions on various aspects of production in agricultural industries is discussed. A comparative analysis of the concept of utility maximization and the concept of bounded rationality is carried out. It is shown that it is advisable to use the concept of maximum utility of management decision-making to make decisions on determining the optimal multi-factor scenarios for the production of agricultural enterprises. The concept of limited rationality of decision-making at the enterprises of the agricultural sector of Northern Kazakhstan is presented. The methods of decision-making and the features of their use are briefly described. A normative model for the development of an IAS for the effective organization of production in crop production is presented.

The world market of generated power plants is more and more filled with renewable energy installations and Kazakhstan is also not lagging behind in this direction. In our country, projects for the construction of large, industrial solar power plants are being rapidly implemented. To ensure the proper functioning of solar power plants and preventive detection of problems, it is advisable to calculate certain indicators to assess the efficiency of the functioning of the stations. The purpose of this work is to assess the efficiency of the operation of an industrial solar power plant (SPP) with a capacity of 40 MW. The internationally accepted standards for calculating the efficiency of the functioning of photovoltaic installations are considered, the assessment method is chosen - the calculation of the coefficient of the efficiency of the functioning of SES - Performance Ratio (PR). Collected data on the amount of solar radiation, electricity supply to the grid for the period January - February 2020, based on the data, PR calculations were carried out, the results were analyzed.

A long-term priority in the field of social policy in the direction of ensuring social guarantees and increasing the personal responsibility of citizens of the country is a strategy for the development of the state. Having a conscious management trajectory, a person can plan personal finances at a young age without resorting to the help of a credit institution. To ensure the content of decision-making information systems in the field of asset management of individuals, it is required to develop mathematical models of complex functional social systems. This paper examines mathematical models of asset management throughout the life cycle of a family. A mathematical model of the process of achieving several financial goals distributed over time throughout the life cycle of a family has been built. A model for managing the processes of accumulating wealth in order to fulfill its obligations by controlling regular contributions is described. It is shown that when each generation of a family has targeted funds, the risk of default in conditions of volatility in the external environment decreases.

The transmitted to the emergency spot earlier than ambulance and take into account multiple real time health parameters of the patient such ambulance purpose of this project is to develop a prototype of drone ambulance to assist the ambulances in saving human life’s. According to a study conducted by a centre of science and environment, traffic in its ‘peak hours’ on an average does not exceed 30-40 km/hr 92% of the times. In existing systems, a drone carries only the defibrillator to the emergency spot. Thus, it takes into account only a single parameter. This paper aims at developing a system that would be able to fly to the as temperature heart rate and heartbeat. The values of these essential parameters are then. This helps the doctor to evaluate the situation better to provide first-aid kit.

The technology of converting solar radiation using innovative Ʌ-photomodules and a collector with an optical concentrator is considered. Silicon photocells generate a photocurrent and heat the intermediate heat carrier up to ≈ 650С, which releases thermal energy in the linear heat exchanger of the consumed water of the external circulation loop. Using experimental data on the characteristics of photovoltaic cells and double-sided collectors, a method for engineering calculation of the specific power of innovative Ʌ - photo modules was developed and computer modeling of the performance of cogeneration units was carried out.

The paper considers the main tool design environments of the ES and DSS (DSS Project Expert) and (DSS «Выбор») presented on the market and taking into account the typical specifications of modern computer systems, the RAD Studio 10 programming environment was chosen as the development environment for the DSS and Microsoft (Visual Studio), C# programming language for organizing work and modules that implement methods and models. The article analyzes the main approaches to choosing strategies for investors in the DSS during the procedure for evaluating investment projects in the field of digitalization of enterprises, taking into account multi-factorism, the project is implemented in C #. When choosing the C # programming language for this module, two main tasks were set - the speed of development and the ability to learn about errors even at the program compilation stage.

Kazakh is an agglutinative language which has complex structure. In this work Apache Spark was used to specify the popularity of Kazakh words in 3 popular kazakh compositions. The main goal was to find the optimal number of data segments for a specific number of cores in order to find the best computational speed. To do so, the data was divided into several segments and ran on a cluster with a different number of cores each time. Results show that the amount of data segments directly affects the computing speed.

At the beginning of the Barremian time, the sea receded and until the beginning of the late Alb, the territory was a low-lying accumulative plain, within which the accumulation of alluvial and lacustrine-alluvial deposits occurred: red-brown clays, siltstones with layers of brown sandstones and sands and lenses of dark gray lignite. Gravelites and conglomerates are noted at the base of the strata.In the Rannemalba, there was a short-term transgression of the sea, but the territory of the modern Eastern Aral Sea region was not flooded and was a coastal-sea plain, where clays, siltstones and sandstones accumulated. By the end of the Late Alb, the sea regressed and the area again became a low-lying alluvial-lacustrine plain. There was an accumulation of variegated clays, greenish-gray siltstones, sands and sandstones, as well as coals throughout the territory. During the research work, the most promising types of hydrocarbon traps were justified by stratigraphic levels and the zoning of their distribution was revealed. The assessment of the prospects of the area for the identification of oil and gas deposits is given. Informative and qualitative signs (criteria) of oil and gas potential are identified. The areas and specific structures for setting up detailed search operations to identify oil and gas deposits are justified. The estimation of potential resources of hydrocarbon raw materials is calculated.

The article gives a brief description of the economic activity on the Karatal irrigation massif. The factors influencing hydrogeological-meliorative and soil-meliorative conditions, the formation of level and hydrochemical regimes under the influence of irrigation are considered in order to identify the main patterns. Presented the results of observations, the conditions of land salinization are generalized and analyzed. Based on the analysis of the groundwater regime, the degree of soil salinity, information is provided on the areal distribution of groundwater by depth and mineralization, according to which the assessment of the reclamation state of the irrigated lands of the massif is given. On the basis of the performed assessment, recommendations for its improvement are given, since the study, assessment and control of the hydrogeological and meliorative condition of irrigated lands are necessary for the justification and implementation of measures that ensure favorable water and salt regimes, as a result of increasing the yield of agricultural crops.

Geothermal energy resources, as well as other types of renewable energy sources, are able to satisfy almost any consumer in terms of its potential and quality of its energy. The application and the use of geothermal waters of any deposit depends on the energy potential, the chemical composition, the mineralisation and aggressiveness of the water, the general stock and flow rate of wells, the availability and distance of the potential consumer, the temperature and hydraulic modes of boreholes, the depth of occurrence of aquifers and their characteristics, and much more. This feature is one of the main differences of geothermal energy from other renewable energy sources. The exploration of geothermal groundwater was carried out at the Zharkent basin site, in order to assess the operational reserves of thermal groundwaters. There are several wells on the territory of the Zharkent geothermal deposit that can be used as an energy source. Thus two promising geothermal wells, №1RT and №3T, were identified during the exploration, according to which the studies were carried out.