Implementation of a Cryptocurrency Elective Course

We present the design and implementation of a fourth-year undergraduate computer science elective course on cryptocurrency. The course introduces the basics of cryptocurrencies and blockchains using Bitcoin. Programming distributed applications for blockchains is explored using Ethereum via the Solidity programming language. Advanced theoretical concepts are discussed, using different cryptocurrencies to demonstrate how they are implemented in practice. Cryptocurrency applications are presented, along with a responsible examination of present-day cryptocurrency scams. The assignments build upon each other, with the students implementing a web-based blockchain application by the end of the semester. The course was well received, and student feedback was positive. All of the course materials are available online under public copyright licenses.

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Publication Details

Published
2025-02-12
DOI
https://doi.org/10.1145/3641554.3701936
Primary Topic
Advanced Malware Detection Techniques
Type
article
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article

Implementation of a Cryptocurrency Elective Course

Aaron Bloomfield
Advanced Malware Detection Techniques
article

Implementation of a Cryptocurrency Elective Course

Aaron Bloomfield
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Abstract

We present the design and implementation of a fourth-year undergraduate computer science elective course on cryptocurrency. The course introduces the basics of cryptocurrencies and blockchains using Bitcoin. Programming distributed applications for blockchains is explored using Ethereum via the Solidity programming language. Advanced theoretical concepts are discussed, using different cryptocurrencies to demonstrate how they are implemented in practice. Cryptocurrency applications are presented, along with a responsible examination of present-day cryptocurrency scams. The assignments build upon each other, with the students implementing a web-based blockchain application by the end of the semester. The course was well received, and student feedback was positive. All of the course materials are available online under public copyright licenses.

University of Virginia (US)
Openalex Percentile: Top 97%
Advanced Malware Detection Techniques
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