Technology-Enhanced Learning in Cyber-Physical Systems Embedding Modeling and Simulation

Technology-Enhanced Learning in Cyber-Physical Systems Embedding Modeling and Simulation

Dietmar P. F. Möller, Hamid Vakilzadian
ISBN13: 9781799824664|ISBN10: 1799824667|EISBN13: 9781799824671
DOI: 10.4018/978-1-7998-2466-4.ch027
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MLA

Möller, Dietmar P. F., and Hamid Vakilzadian. "Technology-Enhanced Learning in Cyber-Physical Systems Embedding Modeling and Simulation." Cyber Warfare and Terrorism: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 432-445. https://doi.org/10.4018/978-1-7998-2466-4.ch027

APA

Möller, D. P. & Vakilzadian, H. (2020). Technology-Enhanced Learning in Cyber-Physical Systems Embedding Modeling and Simulation. In I. Management Association (Ed.), Cyber Warfare and Terrorism: Concepts, Methodologies, Tools, and Applications (pp. 432-445). IGI Global. https://doi.org/10.4018/978-1-7998-2466-4.ch027

Chicago

Möller, Dietmar P. F., and Hamid Vakilzadian. "Technology-Enhanced Learning in Cyber-Physical Systems Embedding Modeling and Simulation." In Cyber Warfare and Terrorism: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 432-445. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2466-4.ch027

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Abstract

Globalization in international research and development is changing the way universities need to educate and train students. As universities prepare their graduates for the needs of the 21st century and the global market economy, they face significant pressure to overhaul their well-established traditional curriculums and adapt the conventional delivery of course materials to new methodologies appropriate for the cooperative environment. Engineering Science is an emerging area with the potential to provide graduates with the skills needed to meet the challenges of complex designs of cyber-physical systems and shorten their time to market window. To ensure that university graduates are prepared to meet the challenges of a global market, the instructional methodology needs to be broadened. Such technology-enhanced learning is required to provide engineering students with the skills, tools, and training needed to verify and validate the details of complex cyber-physical systems designs and to understand the risk involved in development of inaccurate models. The results obtained from the accurate models can be analyzed to ensure the design of a cyber-physical system will be error-free and the system developed will perform according to the design specification and requirements.

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