NDLI: Teaching Programming Skills to Finance Students: How to Design and Teach a Great Course?

Content Provider	Semantic Scholar
Author	Yan, Yuxing
Copyright Year	2017
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.
Starting Page	1
Ending Page	14
Page Count	14
File Format	PDF HTM / HTML
DOI	10.2139/ssrn.2711865
Volume Number	3
Alternate Webpage(s)	https://www.econstor.eu/bitstream/10419/176471/1/10.1186_s40854-017-0081-x.pdf
Alternate Webpage(s)	https://jfin-swufe.springeropen.com/track/pdf/10.1186/s40854-017-0081-x?site=jfin-swufe.springeropen.com
Alternate Webpage(s)	https://doi.org/10.2139/ssrn.2711865
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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