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Computer Science Education: Synthesis of the Curricula of Data Structures and Algorithms; Analysis of Algorithmic Bias and its Interaction with Society

Computer Science Education: Synthesis of the Curricula of Data Structures and Algorithms; Analysis of Algorithmic Bias and its Interaction with Society

Abstract

The topic of the technical work is the combination of two classes in the UVA curriculum that would enhance the learning experience for prospective students. The two classes are CS 2110 and CS 4102, essentially putting the general topics of data structures and algorithms together and creating a curriculum that synthesizes the information presented in that class. The STS topic addresses the idea of algorithmic bias in computer science and how algorithms can be trained to include unintentional biases. My technical and STS projects both address aspects of the socio-technical problem of how algorithms are taught and used and how they can have detrimental implications if done incorrectly. In what follows, I will demonstrate through both the technical project (changing how algorithms are taught) and the STS project (analyzing algorithmic bias through the lens of cases, socio-technical framework, journals) how the field of computer science can be improved in this specific aspect.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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