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

Yuxing Yan

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.

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Year of publication:	2017
Authors:	Yan, Yuxing
Published in:	Financial innovation : FIN. - Heidelberg : SpringerOpen, ISSN 2199-4730, ZDB-ID 2824759-0. - Vol. 3.2017, 32, p. 1-14
Subject:	Programming skills \| Quantitative-finance \| Financial engineering \| R \| Open-source finance \| Data analytics \| Qualifikation \| Occupational qualification \| Betriebswirtschaftsstudium \| Graduate business education \| Studierende \| Students \| Financial Engineering \| Lehrplan \| Curriculum \| Unterricht \| Teaching \| Wirtschaftspädagogik \| Business and economics education