Abstract:

Today, the Russian Federation needs qualified specialists who are able to solve professional tasks in different ways and find the optimal solution. Therefore, a thorough mastery of knowledge and skills in the field of mathematical modeling is in demand in the study of the natural sciences, economics, and other professional disciplines. With the result of that, it has been hypothesized that the students’ development level of economic knowledge and skills (they are determined by the formed competencies in the process of studying the discipline "Methods of optimal solutions") will be higher if these skills are formed in the process of solving economic quasi-professional problems by means of mathematical modeling. The large amount of heterogeneous information, the uncertainty and ambiguity of mathematical modeling of economic processes and data variability are significant factors for attracting to the study of solving economic problems by various methods which are based on probability theory, mathematical statistics, elements of automation theory, as well as software for performing precision calculations and automation of operations. One of these approaches is described in the article. Based on the pedagogical experiment, it’s possible to formulate the following conclusions. They’re about emphasizing the reliability of the proposed hypothesis, the ability to use the methods and means of linear programming in mathematical models of quasi-professional problems. Students’ knowledge of mathematical models contributes to a better understanding of the causes of various economic situations, and also allows to compare emerging patterns and correctly predict the consequences of economic decisions in professional activities.