8 research outputs found

    Conceive — Design — Implement — Operate (CDIO): A Case Study in Undergraduate Engineering (Wind Energy Course) at DTU

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    As a result of a mismatch between the skills of the newly trained engineers and the needs of industry, a new approach called Conceive —Design —Implement —Operate (CDIO) has been designed for producing the next generation of engineers [1]. CDIO is a structured approach to how and when the students acquire technical science / engineering and general / personal competencies, which takes place simultaneously through lectures and projects.At the Technical University of Denmark (DTU), we have, since 2008, joined a network a large number of international universities and implemented the framework to develop a new undergraduate CDIO-based program1. The efforts are made in order to transform from an authoritarian teacher-based learning to a student-centered counterpart thereby achieving an active, life-time learning experience for the students.The course “Design-Build 2: Wind Energy Harvesting” aims at getting students engaged in a problem-based engineering project to design and build wind turbine blades in order to achieve the most efficient conversion rate of the wind into electrical energy. We have been running the course two times, having a diverse student background ranging from life science to mathematics backgrounds as well as diverse nationalities. This article presents our observations in implementation of the CDIO technique in student activation and satisfaction. Challenges in facing “lost students” and implementing the technique correctly are being discussed and advantages in student activation are analysed. In addition to acquiring strong academic knowledge, it is shown that through various steps of the 3-weeks course period, students develop both personal, social and professional skills that are important for their upcoming professional career

    How to foster entrepreneurial mind-set in a compulsory course with many students?

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    Implementing peer feedback in practice – a case study

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    Estimation of quality in frozen fish by low field NMR

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    This chapter addresses the potential of LF 1H NMR relaxometry to estimate the quality of fish products during freezing and frozen storage. This technique has shown to be, at least for some fish species, sensitive to changes occurring at subzero temperatures and the variation in the relaxation times kept a relationship with documented effects on the morphological and biochemical alterations of fish muscle. Moreover, the dependency of the relaxometry data on the freezing time and temperature has allowed the identification of indicators suitable for the estimation of shelf life, thus contributing to the increasing range of applications of the T2 decay signals.This work has been partly financed by Spanish ANIRISK (AGL2015–68248-C1) MINECO/FEDERPeer Reviewe
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