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Calculus: A Modeling and Computational Thinking Approach [electronic resource] / by Eric Stade, Elisabeth Stade.

By: Stade, Eric [author.].
Contributor(s): Stade, Elisabeth [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Synthesis Lectures on Mathematics & Statistics: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2023Edition: 1st ed. 2023.Description: XII, 274 p. 70 illus., 42 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783031246814.Subject(s): Mathematics | Mathematics -- Data processing | Computer science | Diseases -- Animal models | Computer science -- Mathematics | Applications of Mathematics | Computational Mathematics and Numerical Analysis | Computer Science | Disease Models | General Mathematics and Education | Mathematics of ComputingAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 519 Online resources: Click here to access online
Contents:
1. A Context for Calculus -- 2. The Derivative -- 3. Differential Equations -- 4. Accumulation functions and the integral -- 5. Techniques of Integration.
In: Springer Nature eBookSummary: This book is a first-semester course in calculus, which begins by posing a question: how we do we model an epidemic mathematically? The authors use this question as an immediate, natural motivation for the study of calculus, and an immediate, natural context through which central calculus notions can be understood intuitively. The book's approach to calculus is contextual and based on the principle that calculus is motivated and elucidated by its relevance to the modeling of various natural phenomena. The authors also approach calculus from a computational perspective, explaining that many natural phenomena require analysis through computer methods. Because of this, the book also explores some basic programming notions and skills.
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1. A Context for Calculus -- 2. The Derivative -- 3. Differential Equations -- 4. Accumulation functions and the integral -- 5. Techniques of Integration.

This book is a first-semester course in calculus, which begins by posing a question: how we do we model an epidemic mathematically? The authors use this question as an immediate, natural motivation for the study of calculus, and an immediate, natural context through which central calculus notions can be understood intuitively. The book's approach to calculus is contextual and based on the principle that calculus is motivated and elucidated by its relevance to the modeling of various natural phenomena. The authors also approach calculus from a computational perspective, explaining that many natural phenomena require analysis through computer methods. Because of this, the book also explores some basic programming notions and skills.

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