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"Computer Science: An Overview is written for students of computer science as well as students from other disciplines. Its broad coverage and clear exposition are accessible to students from all backgrounds, encouraging a practical and realistic understanding of the subject. Written to provide students with a bottom-up, concrete-to-abstract foundation, this broad background exposes beginning computer science students to the breadth of the subject in which they are planning to major, and students from other disciplines to what they need to relate to the technical society in which they live.Individual chapters are independent, and can be covered in an order that suits instructor course needs with selected content marked as optional for the introductory course. With a new full-color design, each chapter in the 13th Edition has seen revisions, updates, and corrections from the previous editions. The text also continues to use Python to provide programming tools for exploration and experimentation. More than 1,000 questions and exercises, Chapter Review Problems, and Social Issues questions reinforce core concepts"--Publisher's summary"

"This text uses broad coverage and clear exposition to present a complete picture of the dynamic computer science field. Accessible to students from all backgrounds, Glenn Brookshear uses a language-independent context to encourage the development of a practical, realistic understanding of the field. An overview of each of the important areas of Computer Science provides students with a general level of proficiency for future courses"

"Synopsis1. 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. Information Security. 9. Introduction to High-Level Language Programming. 10. The Tower of Babel: Multiple Programming Voices. 11. Compilers and Language Translation. 12. Models of Computation. 13. Simulation and Modeling. 14. Electronic Commerce and Databases. 15. Artificial Intelligence. 16. Computer Graphics and Entertainment: Movies, Games, and Virtual Communities. 17. Making Ethical Decisions"

"Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mathematical and algorithmic tools to develop a thorough understanding of the underlying components of any complete computer vision system and to design such systems. These components include identifying local features such as corners or edges in the presence of noise, edge preserving smoothing, connected component labeling, stereopsis, thresholding, clustering, segmentation, and describing and matching both shapes and scenes. The extensive examples include photographs of faces, cartoons, animal footprints, and angiograms, and each chapter concludes with homework exercises and suggested projects. Intended for advanced undergraduate and beginning graduate students, the text will also be of use to practitioners and researchers in a range of applications."