Abstract
After completing this module, a student should be able to:
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Define the different basic data types (i.e. integer, floating point, and character) and the implications and possible errors of each.
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Define different sources of error (i.e. measurement, representation, round off, overflow, underflow, and interpretation).
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Appreciate the issues associated with data storage (i.e. including space requirements, magnitude of size, compression).
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Apply abstraction to data in the areas of trees, arrays, linked lists, and graphs.
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References
Neeley M, Ansmann M, Bialczak RC, Hofheinz M, Lucero E, O’Connell AD, Sank D et al (2009) Emulation of a quantum spin with a superconducting phase Qudit. Science 325(5941):722–725. doi:10.1126/science.1173440
Sample, Ian, and Science Correspondent (2007) Einstein + Bacteria DNA = Organic Computer Breakthrough. The Guardian, February 22, sec. Science. https://www.theguardian.com/science/2007/feb/22/uknews.sciencenews
“Scientists Create Organic ‘Molecular Computer’” (2016) Accessed 27 June. http://www.gizmag.com/organic-molecular-computer/15041/
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Brewer, K., Bareiss, C. (2016). Data Types: Representation, Abstraction, Limitations. In: Concise Guide to Computing Foundations. Springer, Cham. https://doi.org/10.1007/978-3-319-29954-9_3
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DOI: https://doi.org/10.1007/978-3-319-29954-9_3
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