Kettering University

Kettering University
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    3854 research outputs found

    Entrepreneurial-Based Learning By Building Your Own Reactor

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    Quite often in reaction engineering education, students are rigorously trained in applying material and energy balances and reaction kinetics for the purposes of reactor selection, sizing, and operating parameters. In chemical engineering laboratory instruction, students are often given the chance to operate and test various reactors or are given the opportunity to experimentally measure reaction kinetics. However, due to a variety of factors, students are rarely afforded the opportunity to build a chemical reactor, which can be an exercise in creativity and safety. At Kettering University, a Keen partner, the reaction engineering laboratory curriculum was revised to incorporate an entrepreneurial-based learning project where student teams selected a chemical reaction of industrial significance and through a guided process designed and demonstrated the reactor. Keen provided grant funds to develop the curriculum and to procure kits of parts which the students can use to build tubular reactors. By the end of 2016 this project will be offered for four quarters. The purpose of this project is open-ended and an exercise in creativity and safe practices as a reaction enginee

    11/30/2016: Faculty Senate Unapproved Meeting Minutes

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    11/2/2016: Faculty Senate Meeting Agenda

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    2/10/2016: Faculty Senate Approved Meeting Minutes

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    2/3/2016: Faculty Senate Approved Meeting Minutes

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    FS Assessment Committee: Writing Student Learning Outcomes

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    FS Assessment Committee Agenda 3-3-2016

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    FS Assessment Committee Mtg Minutes 5-11-2016

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    FS Assessment Committee: teamwork rubric

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    Crowdsourcing and Stochastic Modeling

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    Crowdsourcing has been used in different domains gaining significant exposure in many fields such as healthcare, computer science, environmental sciences, business and marketing. The meaning and interpretation of crowdsourcing is varied and despite its popularity among companies in many sectors it remains little understood. However, the modeling aspects of crowdsourcing in the context of stochastic and algorithmic methods have not been considered until recently. Thus, in this expository paper we intend to provide needed connection between these two areas

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