From STEM to STEAM

A Study of Art from the Perspective of Science, Technology, Engineering, and Mathematics
2024
ISBN: 978-3-031-57315-6
Verlag: Springer Nature Switzerland

Buch, Englisch, 196 Seiten, Format (B × H): 173 mm x 246 mm, Gewicht: 575 g

Reihe: Synthesis Lectures on Engineering, Science, and Technology

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.

Zielgruppe

Lower undergraduate

Autoren/Hrsg.

Snider, Arthur David

Fachgebiete

• Naturwissenschaften Biowissenschaften Angewandte Biologie Biophysik
• Naturwissenschaften Physik Angewandte Physik Biophysik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Geisteswissenschaften Kunst Kunst, allgemein
• Naturwissenschaften Physik Elektromagnetismus Quantenoptik, Nichtlineare Optik, Laserphysik
• Technische Wissenschaften Technik Allgemein Technische Optik, Lasertechnologie

Inhaltsverzeichnis

Introduction.- Structure.- Perspective.- Color and the Eye’s Mechanisms.- The Artistic Side of Color.

Über Autor(innen)

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.