From STEM to STEAM: A Study of Art from the Perspective of Science, Technology, Engineering, and Mathematics

Author:   Arthur David Snider
Publisher:   Springer International Publishing AG
Edition:   2024 ed.
ISBN:  

9783031573156


Pages:   196
Publication Date:   29 June 2024
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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From STEM to STEAM: A Study of Art from the Perspective of Science, Technology, Engineering, and Mathematics


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Overview

This book provides readers with an introductory overview of art from the perspective of science, technology, engineering, and mathematics. The author utilizes well-known and important works of art to demonstrate how STEM concepts apply to them. The book’s examples include a structural analysis of Michelangelo’s David. The author covers major breakthroughs in art history, such as the discovery of perspective. The book also discusses other important elements of art, such as color, from a scientific point of view. The author ensures that readers will understand the art terms used by comparing them with terms used in STEM fields of study.

Full Product Details

Author:   Arthur David Snider
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
ISBN:  

9783031573156


ISBN 10:   3031573153
Pages:   196
Publication Date:   29 June 2024
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Arthur David Snider, Ph.D., is a Professor Emeritus in the Departments of Mathematics, Physics, and Electrical Engineering at the University of South Florida. He has 50+ years of experience in modeling physical systems in the areas of heat transfer, electromagnetics, microwave circuits, and orbital mechanics, as well as the mathematical areas of numerical analysis, signal processing, differential equations, and optimization.

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