Abstract
This paper explores the data-driven minicourse design for operational research at Chongqing University of Arts and Sciences. Situating this article on literature review, numerical simulation and comparison analysis methods, it previously sets the minicourse objectives as “can operate data processing”, beyond that “may build mathematics model to optimize real problems in engineering fields, especially in logistics engineering field”. Then, this article rearranges course contents into twelve modules and delineates each module in a way of a brief explanation with numerical example. These examples are solved by Matlab or related software. To disseminate applicable skill, we also released these Matlab codes which may be served as templates for secondary development of operational research pedagogy. The data-driven minicourse may be carried out in ways of both offline classroom and online mobile internet classroom, of which some modules are especially suitable to be implemented in flipped classroom pedagogy. Comparing with operational research implemented in undergraduate majors at other universities, our minicourse design is characterized as data-driven style, logistics industry-focused, mini case study pedagogy, rich mobile internet resources, as well as applicable skill training. Learners’ feedback confirmed that the minicourse design equipped them with model application and software skills helpful for a successful career.
Highlights
This paper explores the data-driven minicourse design for operational research at Chongqing University of Arts and Sciences
Comparing with operational research implemented in undergraduate majors at other universities, our minicourse design is characterized as data-driven style, logistics industry-focused, mini case study pedagogy, rich mobile internet resources, as well as applicable skill training
This paper reported and analyzed the data-driven minicourse design for operational research at Chongqing University of Arts and Sciences
Summary
Article Frances and Terekhov (2019) reports a purely case-based operational research course design running in the industrial engineering program at the University of Toronto This course requires undergraduates to solve mathematical model in Excel, Matlab or by AMPL language. With “can operate data processing” and “may build mathematics model to optimize real problems” course objectives in mind, our minicourse design provides plentiful opportunities to hone Matlab skill, and assigns many tasks, such as writing cases, making simulation experiments, surveying logistics firm and related homework, to help learners familiar with the operations of logistics company. This article reports and explores the data-driven minicourse design for operational research that has been successively implemented in undergraduate majors of logistics engineering, project management, and engineering cost near 15 years at Chongqing University of Arts and Sciences. We released the Matlab codes of solution to the mathematical models through Appendices A1 to A5
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