Digital Logic for Computing

John Seiffertt

ISBN 10: 3319860151 / ISBN 13: 9783319860152

Published by Springer International Publishing Aug 2018, 2018

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -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. 336 pp. Englisch.

Seller Inventory # 9783319860152

Bibliographic Details

• Title: Digital Logic for Computing
• Publisher: Springer International Publishing Aug 2018
• Publication Date: 2018
• Language: English
• ISBN 10: 3319860151
• ISBN 13: 9783319860152
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 19D millimeters 235 millimeters width by 155 millimeters height by 19 millimeters depth
• Weight: 511 grams

About this title

Synopsis

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.

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.