Introductory Circuit Theory - Hardcover

by D. Sundararajan (Author)

This textbook for a one-semester course in Electrical Circuit Theory is written to be concise, understandable, and applicable. Matlab is used throughout, for coding the programs and simulation of the circuits. Every new concept is illustrated with numerous examples and figures, in order to facilitate learning. The simple and clear style of presentation, along with comprehensive coverage, enables students to gain a solid foundation in the subject, along with the ability to apply techniques to real circuit analysis.

Written to be accessible to students of varying backgrounds, this textbook presents the analysis of realistic, working circuits

Presents concepts in a clear, concise and comprehensive manner, such as the difficult problem of setting up the equilibrium equations of circuits using a systematic approach in a few distinct steps

Includes worked examples of functioning circuits, throughout every chapter, with an emphasis on real applications

Includes numerous exercises at the end of each chapter

Provides program scripts and circuit simulations, using the popular and widely used Matlab software, as supplementary material online

Back Jacket

This book is intended to be a text book for an introductory course in Circuit Theory. The analysis of circuits is presented in clear steps to make it easy for the new undergraduate students to learn the concepts. The book is concise and still provides comprehensive coverage of the essential theory. Large number of figures and numerical examples are provided. Supplementary programs are provided for both coding and simulation using the popular and widely used Matlab software package, so that the students get adequate practice with the analysis procedures. Along with a coordinated laboratory class, students are expected to be well-grounded in the theory and practice of this all-important subject.

Author Biography

Dr. D. Sundararajan was formerly associated with Concordia University, Montreal, Canada. He holds a Ph.D degree in Electrical Engineering from Concordia University. As the principal inventor of the latest family of DFT algorithms, he holds U.S, Canadian and British patents. He has published six books. He has long experience in teaching and research. He has written several papers in IEEE transactions and IEEE conferences.