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Teaching programming skills to finance students: how to design and teach a great course

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  • Yuxing Yan

    (Canisius College)

Abstract

A motivated finance-major student should master at least one programming language. This is especially true for students from quantitative finance, business analytics, those attending a Master of Science in Finance or other financial engineering programs. Among the preferred languages, R holds one of the first places. This paper explains seven critical factors for designing and teaching a programming course: strong motivation, a good textbook, hands-on learning environment, being data intensive, a challenging term project, multiple supporting R datasets, and an easy way to upload such R datasets.

Suggested Citation

  • Yuxing Yan, 2017. "Teaching programming skills to finance students: how to design and teach a great course," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-14, December.
    • Handle: RePEc:spr:fininn:v:3:y:2017:i:1:d:10.1186_s40854-017-0081-x
    DOI: 10.1186/s40854-017-0081-x
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    References listed on IDEAS

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    Cited by:

    1. Monica Martinez-Blasco & Vanessa Serrano & Francesc Prior & Jordi Cuadros, 2023. "Analysis of an event study using the Fama–French five-factor model: teaching approaches including spreadsheets and the R programming language," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.

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