Didactic and methodological aspects of teaching probability theory and mathematical statistics to IT students

Author(s):

DOI: https://doi.org/10.32782/2307-9770.2023.11.03.02

Paper Language: UKR

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Abstract

The robot sees an approach to the development of the discipline “Theory of Inferences and Mathematical Statistics” in the field of computer engineering and computer science. The authors demonstrate the integration of traditional topics of this discipline with modern tools and methods specific to the IT field. The work provides a report analysis of the structure of the primary discipline, in the context of traditional and specific aspects. Traditionally, they stand directly between the theory of validity and mathematical statistics and the problems associated with the special disciplines of the cycle of beginnings. Specific - those that do not imply a direct relationship and (or) be of an interdisciplinary nature. The importance of various tools, such as version control systems and R software, for developing students' competencies in the field of statistics and data analysis is highlighted. The robot also continues to adapt the approach to other possible methods of application and training, indicating the advantages and disadvantages of the skin from them. The authors emphasize the importance of integrating tools that are already widely used in the IT field into a training program to prepare students to become effective employers and prepare them for work in today's world. industries. The authors show that in this way it is possible to acquire low knowledge and skills without introducing any other disciplines and without changing the structure of the educational program. The work can be useful within the framework of the implementation of advanced IT programs at the level of bachelor and master, as well as for researchers and students who are trained in modern methods of computer science and data analysis.

Keywords

probability theory and mathematical statistics, training of IT students, integration of IT tools

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