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Digital Logic For Computing

Digital Logic For Computing

Digital Logic For Computing
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Digital Logic For Computing Hardback - 2017

by Seiffertt, John,

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Details

  • Title Digital Logic For Computing
  • Author Seiffertt, John,
  • Binding Hardback
  • Condition New
  • Pages 319
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2017-06-09
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # 29159130
  • ISBN 9783319568379 / 331956837X
  • Weight 1.42 lbs (0.64 kg)
  • Dimensions 9.21 x 6.14 x 0.75 in (23.39 x 15.60 x 1.91 cm)
  • Category Computers - General Information
  • Dewey Decimal Code 004
  • Quantity available 5

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Reader reviews for Digital Logic For Computing

From the publisher

The book provides a bottom-up approach to understanding how a computer works and how to use computing to solve real-world problems. It covers the basics of digital logic through the lens of computer organization and programming. The reader should be able to design his or her own computer from the ground up at the end of the book. Logic simulation with Verilog is used throughout, assembly languages are introduced and discussed, and the fundamentals of computer architecture and embedded systems are touched upon, all in a cohesive design-driven framework suitable for class or self-study.

From the rear cover

Providing a bottom-up approach to understanding how a computer works and how to use computing to solve real-world problems, Digital Logic for Computing uses logic design throughout to introduce computer design principles and embedded systems in a cohesive, design-driven framework, suitable for class or self-study.

Covering the basics of digital logic through the lens of computer organization and programming, the reader should be able to design his or her own computer from the ground up. Illustrated throughout with drawings and diagrams, the core concepts and methods associated with the design and physical construction of digital electronic computers are presented in a clear and concise manner.

About the author

John Seiffertt is an Assistant Professor of Computer Science at Truman State University in Kirksville, MO. He previously taught in the Electrical and Computer Engineering department at the Missouri University of Science and Technology after receiving his PhD in Computer Engineering from that institution. His research is in the areas of computational intelligence and agent-based modeling. He has published work in IEEE Transactions journals, presented papers at international conferences, and is the author of "Unified Computational Intelligence for Complex Systems" (Springer, 2010). With interests across the field, from embedded systems to Turing machines, he is an award-winning teacher committed to helping undergraduates grow in their understanding of advanced technology.

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