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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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://jfin-swufe.springeropen.com/track/pdf/10.1186/s40854-017-0081-x?site=jfin-swufe.springeropen.com |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Business analytics Data-intensive computing Hands-on computing Programming language Upload |
| Content Type | Text |
| Resource Type | Article |