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Computer Engineering Commons

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Engineering Education

Selected Works

Computing

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Full-Text Articles in Computer Engineering

Transforming Information Systems And Computer Science Education With Virtualization, Maurice E. Dawson Jr., Jorja Wright, Jonathan Abramson Dec 2012

Transforming Information Systems And Computer Science Education With Virtualization, Maurice E. Dawson Jr., Jorja Wright, Jonathan Abramson

Maurice Dawson

This paper will propose an innovative method to transform information systems (IS) and computer science education on a global scale. This method will introduce the use of virtualization and cloud computing combined with open source software (OSS) in higher education. This will allow for those studying IS and computer science to work independently on projects anywhere in the world from a baseline image that has been developed with information assurance (IA) controls. Additionally, this will allow professors and course developers to deploy their own customized virtual machines (VMs) to be used with the course. These VMs will host their own …


(Re)Defining Computing Curricula By (Re)Defining Computing, Charles Isbell, Lynn Stein, Robb Cutler, Jeffrey Forbes, Linda Fraser, John Impagliazzo, Viera Proulx, Steve Russ, Richard Thomas, Yan Xu May 2012

(Re)Defining Computing Curricula By (Re)Defining Computing, Charles Isbell, Lynn Stein, Robb Cutler, Jeffrey Forbes, Linda Fraser, John Impagliazzo, Viera Proulx, Steve Russ, Richard Thomas, Yan Xu

Lynn Andrea Stein

What is the core of Computing? This paper defines the discipline of computing as centered around the notion of modeling, especially those models that are automatable and automatically manipulable. We argue that this central idea crucially connects models with languages and machines rather than focusing on and around computational artifacts, and that it admits a very broad set of fields while still distinguishing the discipline from mathematics, engineering and science. The resulting computational curriculum focuses on modeling, scales and limits, simulation, abstraction, and automation as key components of a computationalist mindset.