Abstract
This article gives an overview of CSCI 1280, an introductory course in computational science being developed at the University of Nebraska at Omaha. The course is intended for all students, regardless of major, and is delivered in a fully asynchronous format that makes extensive use of ed tech and virtual technologies.
In CSCI 1280, students write programs whose excution produce graphical block-based artifacts. This visual domain is well-suited for the study of programming fundamentals and also aligns well with scientific simulations based on cellular-automata. An overview of CSCI 1280s simulation framework for percolation theory and the spread of infectious diseases is given.
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Notes
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Research has suggested that Gaussian random number generators produce more accurate results than uniform random number generators [4] for simulations of this type.
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Winter, V. (2022). Computational Science 101 - Towards a Computationally Informed Citizenry. In: Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13353. Springer, Cham. https://doi.org/10.1007/978-3-031-08760-8_55
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