文章基本信息

标题：Teaching Heuristic Methods to Industrial Engineers: A Problem-Based Experience
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作者：Jesús Muñuzuri ; Pablo Cortés ; Rafael Grosso 等
期刊名称：INFORMS : Transactions on Education
印刷版ISSN：1532-0545
电子版ISSN：1532-0545
出版年度：2016
卷号：16
期号：2
DOI：10.1287/ited.2015.0152
出版社：Institute for Operations Research and the Management Sciences
摘要：Because of its mathematical and computational components, operations research (OR) is not simple to teach or to learn, despite its innumerable industry applications. However, advanced OR is included in many graduate degrees related to industrial engineering, where students need these techniques to solve complex optimization problems. Faced with the problem of teaching heuristic methods to master’s students at the University of Seville, we developed a problem-based approach whereby instead of listening to lectures and taking exams on these techniques, one algorithmic technique is randomly assigned to each student, who must apply it to solving a certain optimization problem. Here we discuss our approach to putting our heuristics course into practice, the problems we faced, how we addressed those problems, the positive results obtained, and the lessons learned.
关键词：teaching optimization ; teaching with projects ; active learning ; heuristic methods ; graduate course