Electrodynamics Tutorials with Python Simulations

Taejoon Kouh

ISBN 10: 103249803X / ISBN 13: 9781032498034

Verlag: CRC Press, 2024

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - This book provides an accessible introduction to intermediate-level electrodynamics with computational approaches to complement a traditional mathematical treatment of the subject.

Bestandsnummer des Verkäufers 9781032498034

Bibliografische Details

• Titel: Electrodynamics Tutorials with Python Simulations
• Verlag: CRC Press
• Erscheinungsjahr: 2024
• Sprache: Englisch
• ISBN-10: 103249803X
• ISBN-13: 9781032498034
• Einband: Buch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

This book provides an accessible introduction to intermediate-level electrodynamics with computational approaches to complement a traditional mathematical treatment of the subject.

Über die Autorin bzw. den Autor

Taejoon Kouh is a Professor of Nano and Electronic Physics at Kookmin University, Republic of Korea. He earned his B.A. in physics from Boston University and Sc.M. and Ph.D. degrees in physics from Brown University. After his study in Providence, RI, he returned to Boston, MA, and worked as a postdoctoral research associate in the Department of Aerospace and Mechanical Engineering at Boston University. He is a full faculty member in the Department of Nano and Electronic Physics at Kookmin University in Seoul, Korea, teaching and supervising undergraduate and graduate students. His current research involves the dynamics of nanoelectromechanical systems and the development of fast and reliable transduction methods and innovative applications based on tiny motion.

Minjoon Kouh is a program scientist for a philanthropic initiative. He was a Professor of Physics and Neuroscience at Drew University, USA, where he taught more than 30 distinct types of courses. He holds Ph.D. and B.S. degrees in physics from MIT and an M.A. from UC Berkeley. He completed a postdoctoral research fellowship at the Salk Institute for Biological Studies in La Jolla, CA. His research includes computational modeling of the primate visual cortex, information-theoretic analysis of neural responses, machine learning, and pedagogical innovations in undergraduate science education.