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  • Broschiertes Buch

A Tour of Computer Science Concepts provides students with a solid foundational knowledge base within the discipline of computer science. The opening chapter offers readers a concise overview of computer history, including the development of computers and the birth of the internet. Additional chapters discuss the differences between analog and digital data, as well as techniques to map one type to another; number base systems; data storage; computer architecture and hardware components; and system software and application software. Students learn about hypertext markup language (HTML) and…mehr

Produktbeschreibung
A Tour of Computer Science Concepts provides students with a solid foundational knowledge base within the discipline of computer science. The opening chapter offers readers a concise overview of computer history, including the development of computers and the birth of the internet. Additional chapters discuss the differences between analog and digital data, as well as techniques to map one type to another; number base systems; data storage; computer architecture and hardware components; and system software and application software. Students learn about hypertext markup language (HTML) and Cascading Style Sheets (CSS). Fundamental programming concepts, such as variable declaration, assignment statements, user input/output, conditional statements, and loop control structures and functions, are demonstrated through the use of JavaScript. Closing chapters cover computer networks, data transmission between devices, and the increased importance of cybersecurity in modern-day computing. Each chapter features a summary, review of key concepts and terms, and discussion questions to enrich the learning experience. Succinct yet highly informative, A Tour of Computer Science Concepts is an ideal resource for foundational courses in computer science.
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Autorenporträt
Mark Gilder is an associate professor and the chair of the Computer Science Department at The College of Saint Rose. He holds a Ph.D., M.S., and B.S. in computer science from Rensselaer Polytechnic Institute. He has extensive experience in high-performance computing, parallel architectures, and parallelization techniques. He teaches a wide variety of computer science courses at both the undergraduate and graduate levels and is interested in developing techniques to help engage and motivate students to learn computer science.