Teaching Monte Carlo Simulation with Python

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Název: Teaching Monte Carlo Simulation with Python
Jazyk: English
Autoři: Holman, Justin O., Hacherl, Allie
Zdroj: Journal of Statistics and Data Science Education. 2023 31(1):33-44.
Dostupnost: Taylor & Francis. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 12
Datum vydání: 2023
Druh dokumentu: Journal Articles
Reports - Descriptive
Education Level: Higher Education
Postsecondary Education
Descriptors: Teaching Methods, Monte Carlo Methods, Programming Languages, Statistics Education, Decision Making, Computer Science Education, Computer Software, Undergraduate Students, Spreadsheets, Business Schools, Business Administration Education, Course Descriptions, Advanced Courses
DOI: 10.1080/26939169.2022.2111008
ISSN: 2693-9169
Abstrakt: It has become increasingly important for future business professionals to understand statistical computing methods as data science has gained widespread use in contemporary organizational decision processes in recent years. Used by scores of academics and practitioners in a variety of fields, Monte Carlo simulation is one of the most broadly applicable statistical computing methods. This article describes efforts to teach Monte Carlo simulation using Python. A series of simulation assignments are completed first in Google Sheets, as described in a previous article. Then, the same simulation assignments are completed in Python, as detailed in this article. This pedagogical strategy appears to support student learning for those who are unfamiliar with statistical computing but familiar with the use of spreadsheets. Supplementary materials for this article are available online.
Abstractor: As Provided
Entry Date: 2023
Přístupové číslo: EJ1384378
Databáze: ERIC
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