The article is devoted to finding ways to improve the efficiency in the study of basic disciplines of programming in the 1st and 2nd year of bachelor's degree in the training of IT professionals. The curricula for the training of students in the field of 12 (Information Technologies) in Ukrainian universities have been studied. The content of Algorithmization and programming, Algorithms and data structures, Object-oriented programming disciplines and similar CS1 and CS2 courses in Western universities are considered. These courses have been found to be fundamental in training quality IT professionals. A study of current problems of teaching CS1 and CS2 courses in universities of other countries has revealed that these courses, as well as their counterparts in Ukrainian universities, are difficult for students, with a high level of exam failure and dropout during sessions. Therefore, the search for ways to improve the efficiency of these courses is very important. The analysis of different approaches to teaching CS1 and CS2 in the universities of the world and Ukraine has allowed us to find out the list of the main topics of their content. The study of statistics on the use of programming languages in these disciplines has shown that universities mainly use Java, Python, C/C++ languages, and there is a pronounced regional specificity. Based on the rating of programming languages in demand in Ukraine, the need to establish a relationship between courses and their specifics, the following scheme of using programming languages is preferred: C/C++ – in Algorithmization and programming course, C/C++ – in Algorithms and data structures course, Java or C# – in Object-oriented programming course. Emphasis is placed on the im-portance of drawing on world best practices and best approaches in teaching for flexible adjustment of curricula of disciplines taking into account modern requirements for specialists in the IT labor market. The results of the study will allow a more balanced and thorough approach to the meaningful formation of these programming courses, the choice of approaches to motivate higher education students to study.

Author Name: Y.V. Prokop, O.G. Trofymenko, A.A. Toloknov, Ya.V. Dubovoi

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Keywords: Programming language, IT education, algorithmization and programming, algorithms and data structures, object-oriented programming

ISSN: 2306-4412

EISSN: 2708-6070

EOI/DOI: https://doi.org/10.24025/2306-

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