Keyword: «information and mathematical modeling»

In the context of the digital civilization challenges of modern labor market, in particular Industry 4.0, the problem of formation and development of digital competencies for modern engineering specialists becomes rather urgent. The fundamental basis of almost any digital technology is a synthesis of the opportunities and achievements of such sciences as Computer Science and Mathematics. In order for the future professional activity of an engineer to be successful, it is necessary to develop the digital competences of students, using the didactic potential of interdisciplinary integration, which is implemented in the process of information and mathematical training of engineers. The purpose of the study: search for possible optimal ways to implement information and mathematical training for future engineers in universities for Industry 4.0. The contextual-competence and CDIO approaches in the organization of the educational process are analyzed in the article. The novelty of this research: it determines the content of digital competences of a future engineer in the context of information and mathematical modeling application for solving practice-oriented problems of interdisciplinary character. The authors consider information and mathematical modeling as one of the factors for the effective development of digital skills of technical university students on the example of organizing their independent work. The theoretical analysis of research on the topic made it possible to highlight the didactic opportunities of information and mathematical modeling in the digital educational environment. The article presents the author's method of using information and mathematical modeling tools for the development of digital competences of future engineers, necessary in Industry 4.0. in the context of digital transformation of professional engineering education. This study opens up prospects for continuing research on the development of digital competences of future engineers. The interpretation of the opportunities for integrating Computer Science and Mathematics given by the authors can be recommended to a wide range of teaching staff at Computer Science and Mathematics departments of technical universities for the use in their work.

A modern highly qualified engineer must have an up-to-date set of digital competences that are essential for a successful professional career in the digital era. One of the characteristic features of digitization is the integration of sciences, which is especially evident in the use of digital technologies. In this regard, it is necessary to develop the digital competences of students, using the didactic potential of intersubject integration carried out in the process of information and mathematical training of engineers. The purpose of the work is to study the implementation of information and mathematical training of students from technical universities under the conditions of the globalization of Industry 4.0. The article analyzes the contextual competence-oriented and CDIO approaches in organizing the educational process at a technical university. The novelty of this research: the scientific and methodological apparatus for enhancing the student's activity in solving practice-oriented problems of interdisciplinary content has been expanded by including the optimizing tasks of "contextual" content in the learning process. The authors consider the activity of solving the optimizing tasks of "contextual" content as one of the conditions for the development of digital skills for a student of a technical university. The conducted theoretical analysis of research works on the topic made it possible to highlight the didactic opportunities of the optimizing tasks of "contextual" content and to highlight the digital technologies used to solve them. The article provides a methodology for the development of digital competences of future engineers worked out by the authors through a system of optimization tasks of "contextual" content. This study initiates possible prospects for further research on the development of digital competences for future engineers. The variant of the typology of the optimizing tasks of "contextual" content presented by the authors should be recommended to a wide range of teaching staff of information and mathematical departments of technical universities for using in scientific, methodological and practical work.

One of the features of the current stage in the development of the information society is intensive digitalization, the emergence of which is due to the improvement, evolution of new information and communication technologies (ICT), and the growth of digital technologies of the fourth industrial revolution (or Industry 4.0). In this regard, "digitalization" is one of the factors in the transformation of national engineering education. The article gives an analysis of the importance of an interdisciplinary approach to the modern training of future specialists in engineering and technology areas. It justifies the importance of mutual integration of knowledge at the level of ICT and fundamental engineering sciences on the example of integrating the disciplines "Computer Science" and "Mathematics" through information and mathematical modeling as well. The purpose of the research is to identify the impact of digitalization on the theoretical and methodological foundations of an interdisciplinary approach in national engineering education. The authors used the general scientific dialectical method, theoretical and methodological analysis and generalization of the content of mathematical, informational, pedagogical, methodological, scientific and technical literature in the field of foreign and national engineering education. Based on the results of the study, the concept of an integrated learning task in mathematics and computer science was proposed, which is based on a content and activity-oriented approach to information-mathematical modeling; the typology of integrated learning tasks in computer science and mathematics was identified and substantiated in accordance with the types of professional activity of specialists in engineering and technology. The significance and role of information-mathematical modeling as one of the basic (fundamental) methods for solving integrated learning tasks is shown. The need for the development of an interdisciplinary approach to the training of future engineers in the digital economy of Russia has been identified.

Digitalization, which has a significant impact on all spheres of life in modern economic society, dictates new requirements to higher education system for a level of training of specialists in the engineering and industrial sector. An urgent need to update existing training models leads to the search for effective educational technologies to develop digital competences in future graduates of technical universities that meet modern realities. One of these technologies is blended learning, which involves the joint use of online and offline learning formats. The article analyzes the concept of “blended learning” and outlines the significance of this educational technology from the point of view of an interdisciplinary approach to the implementation of modern information and mathematical training of future engineering and technical specialists. The importance of mutual integration of knowledge at the level of fundamental technical sciences, information and communication technologies (ICT) is substantiated by the example of the integration of disciplines of the information and mathematical cycle. At the same time, a special role of information and mathematical modeling is emphasized as a system-forming factor in the integration of knowledge in the disciplines under consideration. The aim of the work is to identify the methodological potential for using blended learning technologies in engineering education when implementing interdisciplinary integration in teaching disciplines of the information and mathematical cycle. The study used the general scientific dialectical method, theoretical and methodological analysis and generalization of the content of mathematical, informational, pedagogical, methodological, scientific and technical literature in the field of foreign and domestic engineering education. Using the example of building a machine learning model, one of the important stages of exploratory data analysis is illustrated – identifying outliers and their processing by means of a modern digital technology stack (Python programming language, Pandas and Seaborn libraries). The novelty of this research lies in the expansion of the scientific and methodological apparatus for enhancing student activity in order to develop relevant digital competences through the introduction of blended learning technologies in the educational process when implementing interdisciplinary integration in teaching information and mathematical disciplines. The theoretical significance of the study lies in the development of methodological recommendations for the use of blended learning tools in the implementation of information and mathematical training for students of engineering specialties at universities, the identification and justification of the main advantages of introducing blended learning technologies into the educational process of a technical university, as well as the designation of their role in improving the quality of education and training engineering personnel for the digital economy. The practical significance of the study lies in the fact that the proposed methodological techniques for introducing blended learning technologies can be used by the teaching staff of information and mathematics departments of technical universities in their scientific, methodological and practical work in the context of digital transformation of education.