Teaching Theoretical Stochastic Modeling Courses Using Industrial Partners and their Applied Problems

该项目的目标是创造一个创新的学习环境，以解决向本科工程和理科学生教授随机建模课程的挑战。该项目开发了四个基于应用的模块，以展示理论与实践的相关性，并将现实生活中的应用纳入工业工程课程。这些模块包括来自工业合作伙伴的视觉媒体，通过提供书面模块和参考材料的网站来呈现问题。这些模块涵盖的主要主题包括布朗运动、可靠性理论、排队论、马尔可夫链和更新理论。该项目的成果包括改善了学习环境，让学生接触到技术工具，在模块的设计和创建中集成了先进技术，以及一个可高度转移到其他提供随机建模课程的项目和大学的课程包。

The objective of the project is to create an innovative learning environment that addresses the challenges of teaching stochastic modeling courses to undergraduate engineering and science students. The project develops four application-based modules to demonstrate the relevance of theory in practice and incorporates real-life applications into Industrial Engineering curriculum. The modules include visual media from industrial partners to present a problem with a web site that provides written module and reference material. The main topics covered in these modules include Brownian motion, reliability theory, queuing theory, Markov chains, and renewal theory.Outcomes of this project consist of improved learning environment, exposure of students to technological tools, integration of advanced technology in the design and creation of the modules, and a curriculum package that is highly transferable to other programs and universities offering stochastic modeling courses.