The Content and Methodological Features of Professionally Oriented Training of Engineering Students in Higher Mathematics

This study reveals the content and methodological features of professionally oriented training of engineering students in higher mathematics. The authors provide examples of applied tasks for students of different technical specialities. The relevance of this article is determined by the fact that a modern higher educational institution sets itself the task of providing graduates with a certain set of competencies, as well as a set of acquired knowledge and skills. Thus, young people in their future life can easily navigate in terms of professional development. Nothing prevents them from easily adapting to the constantly changing social and economic conditions, meeting the current needs of the personnel market. All this allows building a competent process of training future specialists. Young engineers can build mutual understanding, cooperate with representatives of other industries, since solving complex problems and conducting joint research requires, first of all, the presence of a solid foundation consisting of natural science and mathematical disciplines, the establishment of which should take place within the framework of a higher educational institution. It is for this reason that one of the most significant problems should be identified related to the mathematical training of students of technical higher educational institutions. The purpose of the study is to identify and clarify the content and methodological features of professional training of engineering students in higher mathematics. Mathematics has a special and priority place among other sciences studied at the university. The modern course of mathematics is based on a highly developed logical and computational apparatus. Without the current achievements in the field of mathematics, there would be no high technologies that are everywhere today and are found in all areas of human activity without exception. The methods and ideas of mathematics are widely used in the cycle of technical disciplines. Mathematics, due to its inherent applied capabilities, is used in natural science and engineering research.