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Central Asian Journal of Education

Abstract

In this article analyses pedagogical and psychological conditions for the formation of professional competencies of future teachers of computer science. Computer science is the study of computers and computing as well as their theoretical and practical applications. Computer science applies the principles of mathematics, engineering, and logic to a plethora of functions, including algorithm formulation, software and hardware development, and artificial intelligence. As we know the issue of forming the cognitive competencies of students, recognized as one of the key factors in the development of education in the world, is reflected in the implementation of the International Education Concept 2030 in Incheon, South Korea. On the basis of teaching young people in higher education institutions using the opportunities of modern information and communication technologies and pedagogical technologies, it serves to develop their creative abilities, increase their logical thinking, improve the theoretical and methodological, methodological framework for systematizing teaching.

Computer Science is the study of computers and computational systems. Unlike electrical and computer engineers, computer scientists deal mostly with software and software systems; this includes their theory, design, development, and application.

Principal areas of study within Computer Science include artificial intelligence, computer systems and networks, security, database systems, human computer interaction, vision and graphics, numerical analysis, programming languages, software engineering, bioinformatics and theory of computing.

Although knowing how to program is essential to the study of computer science, it is only one element of the field. Computer scientists design and analyze algorithms to solve programs and study the performance of computer hardware and software. The problems that computer scientists encounter range from the abstract – determining what problems can be solved with computers and the complexity of the algorithms that solve them – to the tangible – designing applications that perform well on handheld devices, that are easy to use, and that uphold security measures.

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