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

Yuxing Yan ()
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Yuxing Yan: Canisius College

Financial Innovation, 2017, vol. 3, issue 1, 1-14

Abstract: 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.

Keywords: Programming skills; Quantitative-finance; Financial engineering; R; Open-source finance; Data analytics; A2; I22; G00 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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DOI: 10.1186/s40854-017-0081-x

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