Data analytics‐based tools are used extensively in industry, business, science, engineering, and medicine. Efforts are being made to transform the undergraduate course in engineering probability by incorporating the data analytics while retaining the concept‐driven topics. The author has been engaged in these efforts since 2017–2018. This manuscript reports on a number of data analytics‐based assignments alongside the traditional ones consisting of exercises requiring proofs, derivations, and calculations created during the fall quarter of 2018–2019. These assignments rely on computational tools and are connected to the theoretical concepts allowing the students to understand and appreciate the use of conceptual topics to practical application in machine vision, robotics, medical diagnostics, and so forth. The details on these assignments along with their implementation, results, and lessons learnt and conclusions drawn are presented.

中文翻译：

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工程概率课程中的数据分析介绍：实施和经验教训

基于数据分析的工具广泛用于工业、商业、科学、工程和医学。正在努力通过结合数据分析同时保留概念驱动的主题来改变工程概率的本科课程。自 2017-2018 年以来，作者一直致力于这些工作。这份手稿报告了许多基于数据分析的作业以及传统的作业，包括在 2018-2019 年秋季季度创建的需要证明、推导和计算的练习。这些作业依赖于计算工具并与理论概念相关联，使学生能够理解和欣赏概念主题在机器视觉、机器人技术、医疗诊断等领域的实际应用中的使用。