Abstract
With the recent advancements of computing hardware including cheap edge devices, sensors, and neural computing tools as well as cloud computing platforms, and the ever-increasing size of the data collected from a variety of resources, designing and developing efficient computational algorithms has become one of the primary tasks of nexus research. Therefore, understanding the basics of computing is important for nexus researchers to learn the capabilities and limitations as well as the research needs in the computing field. In this chapter, we provide a wide lens perspective to computing and computer science as a scientific field. We start with a brief background on Computer Science, including computational complexity theory and programming languages followed by the most common challenges faced by the contemporary computer scientist. In addition, throughout the chapter, we give hints about which tools and methods are more appropriate for specific use cases and current state-of-the-art approaches that are developed for those. Finally, we describe how nexus data can be used together with computer science tools via several case studies.
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Eftelioglu, E., Shekhar, S. (2020). Computing. In: Saundry, P., Ruddell, B. (eds) The Food-Energy-Water Nexus. AESS Interdisciplinary Environmental Studies and Sciences Series. Springer, Cham. https://doi.org/10.1007/978-3-030-29914-9_16
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