AI Business

The course includes an intensive program of learning English related to professional activity. The course includes topics reflecting the latest achievements in the field of information technology, and the terminology dictionary makes them directly relevant to the needs of students.

The course is devoted to the formation of physical culture of the individual and the ability to direct the use of various means of physical culture to preserve and strengthen health.

The course includes knowledge of sociological subject areas, research methods and directions. During the course, the main sociological theories and the most effective ways to gain in-depth knowledge about various aspects of our modern society will be discussed in detail. The special significance of this course for students is the opportunity to develop sociological imagination, to understand the basic concepts of sociology as a science.

The course is dedicated to general political knowledge for specialties in the field of information technology. The course includes political self-awareness, improvement of one’s political outlook and communicative competencies. The teaching of political knowledge is communicative, interactive, student-oriented, result-oriented and largely depends on the independent work of students.

The course includes the study of modern information technologies, including methods and means of communication of people in ordinary and professional activities using information technology. These technologies are studied in relation to the search, collection, storage, processing and dissemination of information.

The course will help to become the basis for the study of the entire complex of social sciences and humanities, as well as a supplement to general courses in history and philosophy. The course includes such topics as morphology, semiotics, anatomy of culture; culture of nomads of Kazakhstan, cultural heritage of Proto-Turks, medieval culture of Central Asia, formation of Kazakh culture, Kazakh culture in the context of globalization, cultural policy of Kazakhstan, etc.

The course presents psychology issues in a broad educational and social context. The knowledge, skills and abilities acquired and formed as a result of mastering the course content give students the opportunity to apply them in practice, in various spheres of life: personal, family, professional, business, social, in working with people – representatives of different social groups and age categories.

The course examines the modern history of Kazakhstan as part of the history of mankind, the history of Eurasia and Central Asia. The modern history of Kazakhstan is a period in which a holistic study of historical events, phenomena, facts, processes is carried out, revealing historical patterns that took place on the territory of the Great Steppe in the twentieth century and up to the present day.

The course occupies a special place in the system of training bachelors with engineering education. For students of a technical university, studying professional Kazakh/Russian languages is not only improving the skills and abilities acquired at school, but also a means of mastering a future specialty.

The course involves the study of the discipline philosophy as a special form of spiritual studies in its cultural and historical development and modern sound. The main directions and problems of world and domestic philosophy are studied.

Within the framework of the academic discipline, the student studies the essence of entrepreneurial activity on the basis of the current legislation of the Republic of Kazakhstan. The course will demonstrate the role and place of small enterprises in the modern conditions of the functioning of the economy of the state and society. The discipline will allow to understand the basic principles and content of the business plan of business entities, to form thinking based on modern anti-corruption culture, organizational forms of entrepreneurial activity are explained, including taking into account sustainable development, ecology and safety of personnel.

The course introduces students to the foundational concepts of artificial intelligence (AI) within the context of business applications. It covers the integration of AI technologies such as machine learning, natural language processing, and data analytics to address real-world business challenges. Through case studies and projects, students learn to leverage AI tools and frameworks to enhance decision-making, optimize operations, and create innovative products and services. The curriculum emphasizes the ethical considerations, strategic planning, and implementation practices necessary for deploying AI solutions effectively in various business environments.

The course equips students with the mathematical foundations necessary for understanding and developing artificial intelligence (AI) algorithms and models. It covers key areas such as linear algebra, calculus, probability, statistics, and discrete mathematics, all tailored to AI applications. Through lectures, problem-solving sessions, and practical examples, students learn to apply these mathematical concepts to design and improve AI systems, including machine learning models, neural networks, and optimization algorithms. The curriculum emphasizes both theoretical understanding and practical skills, preparing students to tackle complex AI challenges with mathematical rigor and creativity.

The course teaches students to apply data structures, functions, modules, classes and other features of the Python programming language to solve applied problems.

The course teaches the study of patterns of random phenomena and their properties, and use them for data analysis. As a result of studying this discipline, students will know the basic concepts of probability theory and mathematical statistics and their properties, as well as be able to use probabilistic models in solving problems, work with random variables, calculate sample characteristics, evaluate the reliability of statistical data.

The purpose of the course is to study the norms of the academic language. The course is aimed at developing academic writing skills using professional vocabulary and terminology. The course content includes topics reflecting the latest achievements in the field of information technology and data science.

The course includes the execution or management of business operations and decision-making, as well as the effective organization of people and other resources to direct activities to achieve common goals and objectives.

The course provides students with a comprehensive understanding of the principles and practices involved in the effective management of production and operations within organizations. It explores topics such as supply chain management, quality control, process improvement, inventory management, and project management. Through a combination of lectures, case studies, and simulations, students learn how to design, operate, and improve operational systems to enhance efficiency, productivity, and competitiveness. The course emphasizes strategic decision-making, analytical problem-solving, and the application of contemporary tools and technologies. Students are prepared to address operational challenges and lead improvements in diverse organizational contexts.

Educational practice is an integral part of the student training program. The main content of the practice is the implementation of practical training, educational research, creative tasks corresponding to the nature of the future professional activity of students. The purpose of the training practice: the study and consolidation of theoretical and practical knowledge in the disciplines acquired in the learning process, the development of creative activity and initiative of students, their artistic and creative needs and aesthetic perception of the world.

The course is aimed at developing an understanding of the main sections of micro and microeconomics: consumer behavior, producer behavior, market structures, welfare economics, the theory of asymmetric information; the subject and methods of macroeconomics. The subject of the discipline is macro and micro economic indicators and their interrelation, general macroeconomic equilibrium, consumption and savings, money market, capital accumulation and economic growth, state budget and its structure, balance of payments and its structure, international trade and trade policy, etc.

It is a discipline that focuses on the practical application of business management knowledge and skills in the context of a simulated business project. In this course, students learn to plan, manage and control various aspects of a business project using the models and tools they have learned during their studies. This discipline is unique in that it offers students the opportunity to “go through” the full life cycle of a project in a safe and controlled environment. This allows them to gain practical experience in project management and understand how theoretical knowledge is applied in practice.

The course focuses on accounting skills, concepts and principles that students can apply to analyze financial statements and various models of functioning of fintech companies, includes topics covering various aspects of not only evaluating the effectiveness of fintech projects, but also their integration, necessary for decision-making for various types of IT enterprises.

The course is designed to study the basic methods and tools required for the introduction of scientific research. The course also introduces students to the most popular search and scientometric databases of scientific articles, such as Web of Science, Scopus, ScienceDirect and others. During the course, students will get acquainted with the citation tools and search for the required scientific information.

The course involves mastering design thinking – a human-centered design process that approaches problem solving with an understanding of the user’s needs. Design thinking includes concept development, applied creativity, prototyping and experimentation.

The purpose of this course is to help students learn how to communicate strategically in a professional environment. Students are asked to analyze their target audience, the purpose of their communication and the context in which they work before developing a message. The course specifically focuses on enhancing students’ ability to write, speak, work in a team and communicate between cultures in their role as future managers.

The course is designed to equip students with an understanding of how artificial intelligence (AI) technologies can be applied to automate and enhance accounting processes. It focuses on the integration of AI in areas such as financial data analysis, fraud detection, compliance, and auditing. Students will explore machine learning models for automating transaction processing, natural language processing for interpreting and generating financial reports, and predictive analytics for enhancing the accuracy of financial forecasting. The course emphasizes the ethical considerations and regulatory implications of using AI in accounting, aiming to prepare students to leverage AI technologies to improve efficiency, accuracy, and decision-making in accounting practices.

The course provides students with insights into how AI and machine learning can transform financial decision-making and strategy. It covers the application of AI in investment analysis, portfolio management, risk assessment, and market prediction. Through an examination of case studies and practical projects, students will learn to employ AI technologies such as predictive analytics for forecasting market trends, deep learning for analyzing investment opportunities, and reinforcement learning for optimizing trading strategies. The curriculum also addresses the ethical and regulatory challenges associated with AI in finance, preparing students to use AI responsibly to drive innovation and gain competitive advantage in the financial industry.

This course explores the application of AI in the production and manufacturing sectors, highlighting how AI technologies can revolutionize production lines, quality control, maintenance, and operational efficiency. Students will learn about the integration of machine learning algorithms for predictive maintenance, robotics for automation, and AI-driven optimization models for resource allocation and process improvement. Through case studies and practical exercises, the course emphasizes the transformational impact of AI on reducing costs, enhancing product quality, and enabling custom manufacturing processes.

Course focuses on the transformative role of AI in diagnosing diseases, personalizing treatment plans, managing patient data, and predicting health outcomes. The course covers various AI applications, including machine learning models for imaging analysis, natural language processing for clinical note analysis, and AI algorithms for genetic sequencing and drug discovery. Students will explore ethical considerations, privacy concerns, and the potential of AI to improve patient care, operational efficiency, and medical research.

This course explores the application of AI in crafting marketing strategies, personalizing customer experiences, and optimizing advertising campaigns. Students will learn how AI tools, including predictive analytics, customer sentiment analysis, and automated content creation, can drive marketing decisions. The curriculum emphasizes the use of AI to understand consumer behavior, target marketing efforts more effectively, and measure the impact of marketing campaigns, equipping students with the skills to leverage AI for strategic marketing advantage.

The course explores how AI technologies can optimize logistics operations, supply chain management, and transportation. Topics include the use of AI for route optimization, inventory management, demand forecasting, and autonomous vehicles in logistics. The course highlights case studies where AI has significantly improved supply chain resilience, efficiency, and sustainability. Students will learn to apply AI solutions to solve complex logistics challenges and drive supply chain innovation.

This course introduces the use of AI in human resources management, focusing on recruitment, talent management, employee engagement, and performance analysis. Students will explore AI applications in screening resumes, automating administrative tasks, enhancing employee learning and development, and predicting workforce trends. The course addresses the ethical implications of using AI in HR practices, including bias prevention and data privacy, preparing students to implement AI tools responsibly to improve HR operations and strategic decision-making

Students’ industrial practice