Introduction to Computation in Physical Sciences: Interactive Computing and Visualization with Python™ (Synthesis Lectures on Computation and Analytics) - Softcover

Wang, Jay; Wang, Adam

 
9783031176487: Introduction to Computation in Physical Sciences: Interactive Computing and Visualization with Python™ (Synthesis Lectures on Computation and Analytics)
Softcover
ISBN 10: 3031176480 ISBN 13: 9783031176487
Verlag: Springer, 2024

Inhaltsangabe

This book provides a practical and comprehensive introduction to computational problem solving from the viewpoints of practitioners in both academic and industrial worlds.  The authors present scientific problem-solving using computation and aim to increase computational thinking, which is the mindset and skillset required to solve scientific problems with computational methodologies via model building, simulation, data analysis, and visualization using the Python programming language.  Topics and examples span fundamental areas of physical science as well as contemporary topics including quantum computing, neural networks, machine learning, global warming, and energy balance. The book features unique and innovative techniques and practices including: intentional scaffolding to help beginners learn computational problem solving; multimodal computing environments including cloud-based platforms and just-in-time computing; emphasis and connection between both numerical and symbolic computations; and extensive exercise sets carefully designed for further exploration as project assignments or self-paced study.  The book is suitable for introductory level readers in physical sciences, engineering, and related STEM disciplines. Specifically, the book is appropriate for use in either a standalone course on computation and modeling and as a resource for readers interested in learning about proven techniques in interactive computing. 

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Über die Autorin bzw. den Autor

Jay J. Wang, Ph.D. is a Professor and Chairperson in the Department of Physics at UMass Dartmouth.  He received his Ph.D. in Theoretical Atomic Physics from the University of Tennessee.  Dr. Wang's interests include computational physics, physics education, and research pertaining to the computation and integration of interactive computation in physics and related STEM curricula.  


Adam L. Wang received his M.S. in Physics from the University of Chicago, where he was awarded an NSF Graduate Research Fellowship.  He has worked on complex systems and nonlinear dynamics, aided by computational tools.  More recently, he uses machine learning, interactive computing, and visualization as a data scientist.


Von der hinteren Coverseite

This book provides a practical and comprehensive introduction to computational problem solving from the viewpoints of practitioners in both academic and industrial worlds.  The authors present scientific problem-solving using computation and aim to increase computational thinking, which is the mindset and skillset required to solve scientific problems with computational methodologies via model building, simulation, data analysis, and visualization using the Python programming language.  Topics and examples span fundamental areas of physical science as well as contemporary topics including quantum computing, neural networks, machine learning, global warming, and energy balance. The book features unique and innovative techniques and practices including: intentional scaffolding to help beginners learn computational problem solving; multimodal computing environments including cloud-based platforms and just-in-time computing; emphasis and connection between both numerical and symbolic computations; and extensive exercise sets carefully designed for further exploration as project assignments or self-paced study.  The book is suitable for introductory level readers in physical sciences, engineering, and related STEM disciplines. Specifically, the book is appropriate for use in either a standalone course on computation and modeling and as a resource for readers interested in learning about proven techniques in interactive computing.

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Verlag
Springer
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
3031176480
ISBN 13 
9783031176487
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
272
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Weitere beliebte Ausgaben desselben Titels

9783031176456: Introduction to Computation in Physical Sciences: Interactive Computing and Visualization with Python™ (Synthesis Lectures on Computation and Analytics)

Vorgestellte Ausgabe

ISBN 10:  3031176456 ISBN 13:  9783031176456
Verlag: Springer, 2023
Hardcover