Artikel
Teaching programming skills to finance students: how to design and teach a great course
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.
- Language
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Englisch
- Bibliographic citation
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Journal: Financial Innovation ; ISSN: 2199-4730 ; Volume: 3 ; Year: 2017 ; Issue: 32 ; Pages: 1-14 ; Heidelberg: Springer
- Classification
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Management
Educational Finance; Financial Aid
Financial Economics: General
- Subject
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Programming skills
Quantitative-finance
Financial engineering
Open-source finance
Data analytics
- Event
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Geistige Schöpfung
- (who)
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Yan, Yuxing
- Event
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Veröffentlichung
- (who)
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Springer
- (where)
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Heidelberg
- (when)
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2017
- DOI
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doi:10.1186/s40854-017-0081-x
- Handle
- Last update
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10.03.2025, 11:45 AM CET
Data provider
This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Yan, Yuxing
- Springer
Time of origin
- 2017
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