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.

Sprache
Englisch

Erschienen in
Journal: Financial Innovation ; ISSN: 2199-4730 ; Volume: 3 ; Year: 2017 ; Issue: 32 ; Pages: 1-14 ; Heidelberg: Springer

Klassifikation
Management
Educational Finance; Financial Aid
Financial Economics: General
Thema
Programming skills
Quantitative-finance
Financial engineering
Open-source finance
Data analytics

Ereignis
Geistige Schöpfung
(wer)
Yan, Yuxing
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2017

DOI
doi:10.1186/s40854-017-0081-x
Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Yan, Yuxing
  • Springer

Entstanden

  • 2017

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