Read more
Any curriculum involving science and/or engineering will eventually find itself entering the realm of physics. This book seeks to introduce students to a number of the fundamental concepts in physics and illustrate how different theories were developed out of physical observations and phenomena. The book presents multi-chapter sections on electrostatics, magnetism and electromagnetic waves, with eyes on both the past and the future, touching, along the way, on Coulomb, Gauss, Maxwell, Ohm, Biot-Savart, Ampere, Faraday, Fresnel and Lorentz. The book also contains an appendix that provides the reader with a portion of the mathematical background of vector analysis and vector differential operators. The book approaches its topics through a focus on examples and problem-solving techniques, illustrating vividly how physical theories are applied to problems in engineering and science. The book is primarily aimed at undergraduate students in these two fields, but it also featureschapters that are geared towards senior undergraduates working on their final year theses.
List of contents
Electrostatics in Free Space.- Gauss's Law.- Electrostatic Potential.- Capacitance and Dielectrics.- Electric Current.- Magnetic Field.- Sources of Magnetic Field.- Magnetism in Matter.- Maxwell's Equations of Electromagnetism.- More About Faraday's Law of Induction.- Some Applications of Electromagnetic Theory.- Electromagnetic Waves in Vacuum and Linear Medium.- Electromagnetic Waves in Dispersive Media.
About the author
Hiqmet Kamberaj is a Full Professor at International Balkan University. He has published more than 60 articles and book chapters in reputed journals. In April 2020, he published the book "Molecular Dynamics Simulations in Statistical Physics: Theory and Applications" through Springer, and in September 2021, the textbook "Classical Mechanics" through De Gruyter. His articles focus on understanding the structure, dynamics, and thermodynamics of macromolecular systems using the laws of physics and biochemistry and applied mathematics. In addition, his research includes applications of machine learning approaches. His teaching interests include information theory, electromagnetic theory, general physics, algorithms, discrete mathematics, and computer programming, theoretical physics, statistical physics, electrodynamics, and medical physics.
