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Digital Logic for Computing

Author(s):
Publisher:

Springer

Pages: 319
Further Actions:

Recommend to library

AVAILABLE FORMATS

Paperback - 9783319860152

02 August 2018

$79.99

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Hardcover - 9783319568379

09 June 2017

$79.99

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Ebook - 9783319568393

26 May 2017

$59.99

In stock

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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...

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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.

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Conversational style
Thorough coverage
Digital logic through the lens of computing, just enough electronics for the computer science student to understand hardware
Technical treatment of computer fundamentals accessible to mathematicians, engineers, and other technical people
Short, focused chapters that clearly organize the material

1 The Digital Electronic Computer
2 Boolean Algebra
3 Logic Function Synthesis
4 Basic Logic Function Minimization
5 Advanced Logic Function Minimization
6 Logic Gates
7 Unsigned Arithmetic
8 Signed Numbers
9 Other Digital Representations
10 Encoding Code
11 Sequential Logic Elements
12 Multiplexers and Comparators
13 Decoders and Register Files
14 Counters
15 Datapaths
16 Basic Computer Datapath
17 State Machines
18 Datapath Controllers
19 State Machine Theory and Optimization
20 Instruction Processor Design.

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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...

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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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