© 2017

Digital Logic for Computing


Table of contents

  1. Front Matter
    Pages i-xvi
  2. John Seiffertt
    Pages 1-9
  3. John Seiffertt
    Pages 11-24
  4. John Seiffertt
    Pages 25-36
  5. John Seiffertt
    Pages 37-51
  6. John Seiffertt
    Pages 53-70
  7. John Seiffertt
    Pages 71-85
  8. John Seiffertt
    Pages 87-103
  9. John Seiffertt
    Pages 105-121
  10. John Seiffertt
    Pages 123-133
  11. John Seiffertt
    Pages 135-148
  12. John Seiffertt
    Pages 149-168
  13. John Seiffertt
    Pages 169-180
  14. John Seiffertt
    Pages 181-194
  15. John Seiffertt
    Pages 195-207
  16. John Seiffertt
    Pages 209-226
  17. John Seiffertt
    Pages 227-243
  18. John Seiffertt
    Pages 245-264
  19. John Seiffertt
    Pages 265-287
  20. John Seiffertt
    Pages 289-302

About this book


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.


computer arthimetic digital logic forms of functions logic functions logic gates

Authors and affiliations

  1. 1.Truman UniversityKirksvilleUSA

About the authors

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.

Bibliographic information