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Invitation to Computer Science
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Table of Contents

1. An Introduction to Computer Science
2. Algorithm Discovery and Design
3. The Efficiency of Algorithms
4. The Building Blocks: Binary Numbers, Boolean Logic, and Gates
5. Computer Systems Organization
6. An Introduction to System Software and Virtual Machines
7. Computer Networks, the Internet, and the World Wide Web
8. Introduction to High-level Language Programming
9. The Tower of Babel
10. Compilers and Language Translation
11. Models of Computation
12. Simulation and Modeling
13. Electronic Commerce and Information Security
14. Artificial Intelligence
15. Making Decisions about Computers, Information, and Society

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.

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1. An Introduction to Computer Science 2. Algorithm Discovery and Design 3. The Efficiency of Algorithms 4. The Building Blocks: Binary Numbers, Boolean Logic, and Gates 5. Computer Systems Organization 6. An Introduction to System Software and Virtual Machines 7. Computer Networks, the Internet, and the World Wide Web 8. Introduction to High-level Language Programming 9. The Tower of Babel 10. Compilers and Language Translation 11. Models of Computation 12. Simulation and Modeling 13. Electronic Commerce and Information Security 14. Artificial Intelligence 15. Making Decisions about Computers, Information, and Society

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