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Physical Sciences and Mathematics Commons™
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Full-Text Articles in Physical Sciences and Mathematics
Teaching Cybersecurity Using The Cloud, Khaled Salah, Mohammad Hammoud, Sherali Zeadally
Teaching Cybersecurity Using The Cloud, Khaled Salah, Mohammad Hammoud, Sherali Zeadally
Information Science Faculty Publications
Cloud computing platforms can be highly attractive to conduct course assignments and empower students with valuable and indispensable hands-on experience. In particular, the cloud can offer teaching staff and students (whether local or remote) on-demand, elastic, dedicated, isolated, (virtually) unlimited, and easily configurable virtual machines. As such, employing cloud-based laboratories can have clear advantages over using classical ones, which impose major hindrances against fulfilling pedagogical objectives and do not scale well when the number of students and distant university campuses grows up. We show how the cloud paradigm can be leveraged to teach a cybersecurity course. Specifically, we share our …
How Success In A Task Depends On The Skills Level: Two Uncertainty-Based Justifications Of A Semi-Heuristic Rasch Model, Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich
How Success In A Task Depends On The Skills Level: Two Uncertainty-Based Justifications Of A Semi-Heuristic Rasch Model, Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich
Departmental Technical Reports (CS)
The more skills a student acquires, the more successful this student is with the corresponding tasks. Empirical data shows that the success in a task grows as a logistic function of skills; this dependence is known as the Rasch model. In this paper, we provide two uncertainty-based justifications for this model: the first justification provides a simple fuzzy-based intuitive explanation for this model, while the second -- more complex one -- explains the exact quantitative behavior of the corresponding dependence.
A Thread Safe Graphics Library For Visualizing Parallelism, Joel C. Adams, Patrick A. Crain, Mark B. Van Der Stel
A Thread Safe Graphics Library For Visualizing Parallelism, Joel C. Adams, Patrick A. Crain, Mark B. Van Der Stel
University Faculty Publications and Creative Works
Multicore processors are now the standard CPU architecture, and multithreaded parallel programs are needed to take full advantage of such CPUs. New tools are needed to help students learn how to design and build such parallel programs. In this paper, we present the thread-safe graphics library (TSGL), a new C++11 library that allows different threads to draw to a shared Canvas, which is updated in approximate real-time. Using TSGL, instructors and students can create visualizations that illustrate multithreaded behavior. We present three multithreaded applications that illustrate the use of TSGL to help students see and understand how an application is …