IETU, daprtment PE, 2025 - present time
2018 - 2022 AUPET named after G.Daukeev. Automatization and control.
2022 - 2024 Al Farabi KazNU. Business Intelligence and Big Data.
Artificial intelligence, machine learning, Bayesian networks
Wójcik, W., Shayakhmetova, A., Akhmetova, A., Abdildayeva, A., & Nurtugan, G. (2024). OPTIMIZING TIME SERIES FORECASTING: LEVERAGING MACHINE LEARNING MODELS FOR ENHANCED PREDICTIVE ACCURACY. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 14(4), 115–120. https://doi.org/10.35784/iapgos.6295
Abdildayeva A., Shayakhmetova A., Nurtugan G. B. Integrated Bayesian Networks and Linear Programming for Decision Optimization //Mathematics. – 2025. – Т. 13. – №. 23. – С. 3749.
ABDILDAYEVA A. et al. STOCK CLOSING PRICE FORECASTING USING LSTM, SENTIMENT ANALYSIS, KALMAN FILTER //JOURNAL OF COMPUTER SCIENCE. – 2024. – Т. 20. – №. 11. – С. 1388-1396.
The purpose of this discipline is to teach students the basic concepts, methods and technologies of artificial intelligence, as well as to develop their practical skills in developing AI applications and integrating them into IT projects. After completing the course, the student will have an understanding of the basic approaches to the creation and use of artificial intelligence, will be able to develop and implement AI solutions in various areas of IT, as well as analyze and optimize their performance and efficiency.
This discipline provides for the study of the basic concepts of parallel computing, necessary for the subsequent study of models, methods and technologies of parallel programming. In a simple and understandable form, the course provides examples of modern high-performance computing systems, discusses ways to analyze the complexity of calculations and assess the possibility of their parallel execution, provides the basics of developing parallel methods. The purpose of the discipline is to familiarize students with the totality of information processing tools and personnel combined to achieve certain goals.
The purpose of the discipline is to form students' understanding of cloud technologies as a modern means of providing ubiquitous and convenient network access to computing resources, and virtualization technologies. After completing the course, the student will have knowledge of the basic concepts of cloud technologies, software development for cloud systems, use cloud programming methods, know the architecture and cloud computing services for enterprise information systems.
The purpose of the discipline is to form students' understanding of cloud technologies as a modern means of providing ubiquitous and convenient network access to computing resources, and virtualization technologies. After completing the course, the student will have knowledge of the basic concepts of cloud technologies, software development for cloud systems, use of cloud programming methods, know the architecture and cloud computing services for enterprise information systems.
The purpose of the discipline is to form the necessary amount of theoretical and practical knowledge about cloud computing technology, skills and practical implementation of the benefits of cloud technologies in modern business, and to study the tools of this technology. As a result of studying the discipline, the student should be able to use Microsoft Visual Studio technologies for developing software projects; independently configure the computer and software components; choose the basic configuration of computers and peripherals; integrate computer hardware and software; design the architecture of computer networks and telecommunications systems and implement their layout. The student can use the acquired knowledge in the future when writing the final qualification papers, preparing scientific articles, reports, presentations of research papers, in practical and research activities.
The course of this discipline is aimed at forming a system of knowledge among students about the theoretical foundations of operating systems and obtaining practical skills in network administration, studying and practical knowledge of Windows and Linux operating systems, including the organization and configuration of a local computer network, mastering basic network security tools. After completing the course, the student will be able to design and administer computer networks. The purpose of studying the discipline is to form a set of students' knowledge and ideas about operating systems, their types and features; about the possibility and principles of functioning of computer networks; about the organization of access to distributed data; about the organization of heterogeneous information presented in various formats into a single whole; about ensuring active human influence on these data in real time time
The purpose of this discipline is to master the basic principles and methods of artificial intelligence, develop the skills to apply them in practical tasks in various industries, as well as improve knowledge in information and communication technologies. Upon completion of the course, students will be able to analyze and interpret data, make decisions based on machine learning algorithms, and use artificial intelligence models to optimize processes and increase efficiency in their professional activities.