Computational Discovery on Jupyter

Calkin, Neil J./ Chan, Eunice Y. S./ Corless, Robert M.

ISBN 10: 1611977495 / ISBN 13: 9781611977493

Editore: Society for Industrial & Applied Mathematics,U.S., 2024

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419 pages. 13.19x11.61x5.35 inches. In Stock.

Codice articolo __1611977495

Dati bibliografici

• Titolo: Computational Discovery on Jupyter
• Editore: Society for Industrial & Applied Mathematics,U.S.
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 1611977495
• ISBN 13: 9781611977493
• Rilegatura: Paperback
• Condizione: Brand New
• Peso: 1 chilogrammo

Descrizione articolo

Riassunto

This book uses Python to teach mathematics not found in the standard curriculum, so students learn a popular programming language as well as some interesting mathematics. Videos, images, programs, programming activities, pencil-and-paper activities, and associated Jupyter Notebooks accompany the text, and readers are encouraged to interact with and extend the material as well as contribute their own notebooks. Indeed, some of the material was created/discovered/invented/published first by the authors' students.

Useful pedagogical features include using an active learning approach with topics not typically found in a standard math curriculum; introducing concepts using programming, not proof, with the goal of preparing readers for the need for proof; and accompanying all activities with a full discussion.

Computational Discovery on Jupyter is for upper-level high school and lower-level college students. Graduate students in mathematics will also find it of interest.