
Invitation to Computer Science
Course Technology Inc (Publisher)
8th Edition
Published on 1. January 2018
Book
Paperback/Softback
912 pages
978-1-337-56191-4 (ISBN)
Description
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.
More details
Edition
8th edition
Language
English
Place of publication
Boston, MA
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 255 mm
Width: 205 mm
Thickness: 37 mm
Weight
1608 gr
ISBN-13
978-1-337-56191-4 (9781337561914)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.
Author
Macalester College
Indiana University-Purdue University at Indianapolis
Content
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.
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.