Invitation to Computer Science / Edition 6 available in Paperback
Gain a contemporary overview of today's computer science with the best-selling INVITATION TO COMPUTER SCIENCE, 8E. This flexible, non-language-specific book uses an algorithm-centered approach that's ideal for your first introduction to computer science. Measurable learning objectives and a clear hierarchy help introduce algorithms, hardware, virtual machines, software development, applications, and social issues. Exercises, practice problems, and feature boxes emphasize real-life context as well as the latest material on privacy, drones, cloud computing, and net neutrality. Optional online language modules for C++, Java, Python, C#, and Ada let you learn a programming language. MindTap is available with online study tools, a digital Lab Manual and lab software with 20 laboratory projects. Hands-on activities enable you to truly experience the fundamentals of today's computer science.
About the Author
G. Michael Schneider is Professor Emeritus of Mathematics and Computer Science at Macalester College in St. Paul, Minnesota. He also served as a Visiting Professor of Computer Science at Columbia University in New York. His professional interests include parallel processing, computer networks, programming methodology, and computer science education. He has written many successful textbooks on software development, data structures, computer organization, and a breadth-first overview of computer science. Dr. Schneider was a member of the committee that authored the ACM/IEEE Computing Curriculum 2001. He has received Fulbright Grants to teach computer science and applied mathematics in Mauritius, Malaysia, Nepal, and Mongolia. He received his B.S. from Michigan University and his M.Sc. and Ph.D. in computer science from the University of Wisconsin-Madison.
Judith Gersting is a Professor Emeritus of Computer Science at the University of Hawaii at Hilo and at Indiana University-Purdue University at Indianapolis, where she now teaches part-time. An experienced educator and respected professional, Dr. Gersting has written a number of leading college textbooks. Her areas of specialization include theoretical computer science and computer science education. She earned her B.S. from Stetson University and her M.A. and Ph.D. in mathematics from Arizona State University.
Table of Contents
1. An Introduction to Computer Science. Part I: THE ALGORITHMIC FOUNDATIONS OF COMPUTER SCIENCE. 2. Algorithm Discovery and Design. 3. The Efficiency of Algorithms. Part II: THE HARDWARE WORLD. 4. The Building Blocks: Binary Numbers, Boolean Logic, and Gates. 5. Computer Systems Organization. Part III: THE VIRTUAL MACHINE. 6. An Introduction to System Software and Virtual Machines. 7. Computer Networks and Cloud Computing. 8. Information Security. Part IV: THE SOFTWARE WORLD. 9. Introduction to High-Level Language Programming. 10. The Tower of Babel: Programming Languages. 11. Compilers and Language Translation. 12. Models of Computation. Part V: APPLICATIONS. 13. Simulation and Modeling. 14. Ecommerce, Databases, and Data Science. 15. Artificial Intelligence. 16. Computer Graphics and Entertainment: Movies, Games, and Virtual Communities. Part VI: SOCIAL ISSUES IN COMPUTING. 17. Making Decisions about Computers, Information, and Society.
Most Helpful Customer Reviews
Ugh... I feel like not many actual students are giving this book a proper review. A lot of reviews I have seen seem to be written by professors or professors posing a students. I'm using this book at the moment for my online Intro to Computer science class text and it's awful. Much of the information is clear to experts and people who have studied much of this, but to someone who is actually taking an intro class, the examples and way information is presented is very unclear (to the point that I'm basically having to do the course using outside the text from other sources, then having to refer to the book for the questions). Its exercise questions are as equally unclear (I've had to ask several people who have gone through similar courses for assistance and even they have to read them several times over to really understand how to answer them) and the tangential voice of the writer often muddles even the most simple of ideas (it reads like a professor giving a lecture on YouTube). This book may be an interesting read if you need a refresher, but even then, much of the information is outdated. On top of all this, if you're using this book as an online resource, it's even worse. Pages take forever to load fully, the tools are usually broken, and aside from downloading it on iOS, there's no way to get an off-line version. All this makes looking for information a nightmare (often it will reference an image or table two, three, and even occasionally 4 pages ahead or behind, forcing you to either save clips of the book so you can understand what they're talking about). Considering it's online, and a computer science book, I'm surprised they don't use hyperlinks or anything else to resolve this issue... Final verdict: Avoid this book. You can get the same if not better information free from online sources and aside from profs using it for the questions, there's absolutely no reason to pay for what is essentially someone taking voice notes from an old lecture.