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Modern education in probability theory and mathematical statistics (PTMS) increasingly includes programming elements that allow you to automate routine calculations, visualize distributions and random processes, conduct numerical experiments, and solve complex analytically unsolvable problems. The paper examines approaches to integrating programming into the educational process, analyzes popular tools (Python, R, MATLAB), and offers methodological recommendations. The main methods of teaching mathematics, estimating the complexity and time of solving problems in probability theory and mathematical statistics are highlighted. An experiment was conducted to solve problems manually and using a program.

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Research of Approaches to the Application of Programming Elements in Solving Problems of Probability Theory and Mathematical Statistics in Higher Education Institutions

  • 会议论文

  • 发表日期：

    2025年

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  • Svetlana Solomatina,
  • Nazar Podruchnji,
  • Marina Tokmakova,
  • Walaa H. Elashmawi,
  • Elena Dombrovskaya

摘要

Modern education in probability theory and mathematical statistics (PTMS) increasingly includes programming elements that allow you to automate routine calculations, visualize distributions and random processes, conduct numerical experiments, and solve complex analytically unsolvable problems. The paper examines approaches to integrating programming into the educational process, analyzes popular tools (Python, R, MATLAB), and offers methodological recommendations. The main methods of teaching mathematics, estimating the complexity and time of solving problems in probability theory and mathematical statistics are highlighted. An experiment was conducted to solve problems manually and using a program.