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Item Open Access USING THE GINI COEFFICIENT TO BUILD A CREDIT SCORING MODEL(СДУ хабаршысы - 2021, 2021) Sultanova N. ; Tulegenova A. ; Suleimen B.Abstract. The credit scoring model is widely used to predict the likelihood of a customer default. To measure the quality of such scoring models, you can use quantitative indicators such as the GINI index, KolmogorovSmirnov (KS) statistics, Lift, Mahalanobis distance, information statistics. This article discusses and illustrates the practical use of the GINI index.Item Open Access COMPARATIVE ANALYSIS OF SORTING ALGORITHMS USED IN COMPETITIVE PROGRAMMING(СДУ хабаршысы - 2021, 2021) Mamatnabiyev Zh. ; Zhaparov M.Abstract. Sorting is one of the most used and fundamental operation in computer science since the first time it had been tried to arrange list of items in some sequence. A large number of sorting algorithms were designed in order to have best performance in terms of computational complexity, memory usage, stability, and methods. In addition, in algorithmic problem solving, not all algorithms have same efficiency. This paper makes comparison research and discusses four different types of sorting algorithms: bubble sort, quick sort, insertion sort, and merge sort. The algorithms are tested and compared for data usage and time spent for sorting given amount of data.Item Open Access IMPLEMENTING COURSE SCHEDULE GENERATION APPLICATION FOR UNIVERSITY(СДУ хабаршысы - 2021, 2021) Zhuniskhanov M. ; Suliyev R.Abstract. This work is about researching and implementing Course Schedule Generation Application for university. She compares other similar applications in this area and explores important points. Through UML diagrams, important concepts and development progress are explained. Screenshots of using the application will also be provided. Dataset, configuration and rules explained. In the end, we will talk about the importance of such an application and facilitate planning for the university.Item Open Access HANDWRITTEN OPTICAL CHARACTER RECOGNITION: IMPLEMENTATION FOR KAZAKH LANGUAGE(СДУ хабаршысы - 2021, 2021) Kalken M.Abstract. Many documents, including as invoices, taxes, memoranda, and surveys, historical data, and test replies, still require handwriting with the transformation to digital information interchange. Handwritten text recognition (HTR), which is an automatic approach to decode records using a computer, is required in this aspect. For this proposal, I present a study of the implementation of optical recognition algorithms for handwritten text in the Kazakh language, using a recently collected database. The database, called the Kazakh Autonomous Handwritten Text Dataset (KOHTD), contains more than 140,335 segmented images of handwritten exam papers. As an algorithm, I used the proposed model by Harald Scheidl, which consists of several layers of neural networks and an CTC decoder. The trained model by putting an interval of Ir = 0.01 and a batch size of 60 showed effective results with indicators of about 85% accuracy.Item Open Access THE WAYS TO IMPROVE INFORMATION AND COMMUNICATION TECHNOLOGY SKILLS OF EFL TEACHERS(СДУ хабаршысы - 2021, 2021) S. Kazybay; D. GaipovAbstract. ICT plays an important role in the maintenance of Education. In the XXI century, ICT has become a central issue for educators to integrate into the curriculum, thus leading to high performance of learners in the classroom. This study focuses on EFL teachers in secondary schools with different years of experience. This paper analyzes challenges/problems teachers face while using ICT, the level of ICT usage among the secondary school English Language Teachers and teachers’ perceptions towards integrating ICT in an English classroom. The application of technology can progress interest and inspiration of learners. Innovation offers second language learners information, outcomes and feedback; it also offers teachers efficient way of coordinating course contents and to communicate with many learners. Nevertheless, the usage of technology is encouraged and instructors can alter their teaching practices and instructional approaches, so that, available tools are utilized in the most efficient manner. It is recommended that caution to be taken when using technology to support language education.Item Open Access DIRECTIONS FOR IMPROVING THE METHODOLOGICAL TRAINING OF FUTURE MATHEMATICS TEACHERS FOR THE ORGANIZATION OF PROJECT ACTIVITIES OF STUDENTS(СДУ хабаршысы - 2021, 2021) A.A. ToktorbekovaAbstract. This article describes the goals of the methodological training of future mathematics teachers at a pedagogical university (scientific and methodological knowledge, scientific and methodological and organizational and methodological skills), the structural components of their methodological training (methodological special courses, final qualification and coursework, pedagogical and educational practice). Determination of the essential characteristics of the readiness of mathematics teachers to organize the project activities of students made it possible to outline the ways of developing the necessary professional qualities in order to prepare the future specialist for a rational, creative solution of didactic problems of teaching mathematics using the project method. On the basis of this, in this article, the directions of improving the methodological training of future mathematics teachers for the organization of project activities of students are determined and substantiated.Item Open Access IMPACT OF QUALITY AND PRICE ON PURCHASING DECISION ON FOREIGN CLOTHING COMPANIES AMONG WORKING ADULTS IN KAZAKHSTAN(СДУ хабаршысы - 2021, 2021) Mamedov A.; Abdol A.Kh.; Jacquline T.Abstract. The study aimed to determine the effect of price and quality on customers' buying behavior in Kazakhstan who purchases imported brand clothing. The study's goals were to look at variables such as price and quality that affect consumer behavior. Furthermore, it has investigated the impact of consumer behavior on purchasing choices. By its very nature, this was a qualitative investigation. Simple random selection was used to choose a sample of 500 working people in Nur-Sultan and Almaty cities for this study, although only 408 took part in the survey as responders. A questionnaire was utilized to obtain data from the study's participants. SPSS was used to analyze the data. Correlation, regression, and SEM were used to verify the hypothesis. According to correlation and multivariate research, both quality and price affect consumer behavior and purchase decisions in global apparel firms. It also discovered that consumer behavior positively correlates with their decision to purchase clothes from overseas firms. The report further depicts market decision-making and what will drive the fashion industry forward. Overall, the study would aid in understanding current consumer preferences in Kazakhstan and estimate the customer's future wants, preferences, and expectations trends.Item Open Access ORGANIZING AND OPTIMIZING DATA EXCHANGE IN UNIVERSITY(СДУ хабаршысы - 2021, 2021) A. Tugelbayev; A. ZhamanovAbstract. Currently online education at universities developing exponentially. There are many possible solutions for teachers and students to share materials, assignments, etc. Universities are increasingly using e-learning portals that match their requirements. But the exchange of information in some situations, there are big problems between teachers and students. Also various information from different sources lose their value in huge data. According to this information, our goals (1) Organize study materials for quick access (2) Optimize your e-Learning portal and make it user-friendly (3) Reduce page load speed to make the portal faster. This article describes how many widely used possible solutions exist today and compares them to ours to get an objective perspective.Item Open Access TIME SERIES ANALYSIS TO FORECAST COVID-19 CASES IN CENTRAL ASIA(СДУ хабаршысы - 2021, 2021) Tabarek R. ; Murat B. ; Kaiyr A. ; Smadyarov N. ; Issa D.Abstract. According to the study, the cases are expected to increase in the upcoming days. An exponential rise in the number of cases is also noticeable in a time series analysis. The current forecast models are expected to help the government and medical professionals plan for future circumstances and enhance healthcare system readiness. The proposed study employs a support vector regression model for forecasting the overall number of deaths, recovered cases, cumulative number of reported cases, and regular case count. The starting information is retrieved from the Ist of March to the 30th of April, 2021 (61 Days). The model predicts deaths, recoveries, and the total number of confirmed cases with an accuracy of over 97 percent, and regular new cases with an accuracy of 87 percent. The findings point to a Gaussian reduction in the number of cases, which may take another 3 to 4 months to reach the bare minimum of no new cases registered.Item Open Access VULNERABILITIES IN CI-PLATFORMS THAT CAN BE EXPLOITED FOR CRYPTOCURRENCY MINING AND POSSIBLE SOLUTIONS TO THIS PROBLEM(СДУ хабаршысы - 2021, 2021) Abdinurova N. ; Sokitbayev M. ; Suyerbassov T. ; Baimolda A.Abstract. The topic of how vulnerabilities on Cl-platforms that are subject to cryptocurrency mining is relevant. One solution is that the github has manually set the commit confirmation so that the cryptominer cannot automate mining.