9780357436141-0357436148-Fundamentals of Logic Design, Enhanced Edition, Loose-leaf Version

Fundamentals of Logic Design, Enhanced Edition, Loose-leaf Version

ISBN-13: 9780357436141
ISBN-10: 0357436148
Edition: 7
Author: Jr. Charles H. Roth, Larry L Kinney, Eugene B. John
Publication date: 2020
Publisher: Cengage Learning
Format: Loose Leaf 816 pages
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Book details

ISBN-13: 9780357436141
ISBN-10: 0357436148
Edition: 7
Author: Jr. Charles H. Roth, Larry L Kinney, Eugene B. John
Publication date: 2020
Publisher: Cengage Learning
Format: Loose Leaf 816 pages

Summary

Fundamentals of Logic Design, Enhanced Edition, Loose-leaf Version (ISBN-13: 9780357436141 and ISBN-10: 0357436148), written by authors Jr. Charles H. Roth, Larry L Kinney, Eugene B. John, was published by Cengage Learning in 2020. With an overall rating of 3.6 stars, it's a notable title among other Electrical & Electronics (Engineering) books. You can easily purchase or rent Fundamentals of Logic Design, Enhanced Edition, Loose-leaf Version (Loose Leaf) from BooksRun, along with many other new and used Electrical & Electronics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.51.

Description

About the Author Charles Roth is Professor Emeritus in Electrical and Computer Engineering at the University of Texas at Austin, where he taught Digital Design for more than four decades. In addition to this successful book, Dr. Roth has co-authored DIGITAL SYSTEMS DESIGN USING VHDL and DIGITAL SYSTEMS DESIGN USING VERILOG.Larry L. Kinney is a Professor and Director of Undergraduate Studies at the University of Minnesota. He received his Ph.D. in Electrical Engineering from the University of Iowa. His research has focused on digital system and digital computer design, specifically concurrent error detection techniques, testing of logic and design, distributed computer systems, computer architectures, error detecting/correcting codes and applications of microprocessors.Eugene B. John is a Professor in Electrical and Computer Engineering at the University of Texas at Austin. His areas of interest include VLSI design, computer architecture, energy efficient computing, energy efficient hardware for machine learning and artificial intelligence and hardware security.

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