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Essential Computer Science
Neeraj Kumar Singh, Peter Tiegs, Paul D. Crutcher
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Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika
Beschreibung
Understand essential computer science concepts and skills. This book focuses on the foundational and fundamental concepts upon which expertise in specific areas can be developed, including computer architecture, programming language, algorithm and data structure, operating systems, computer networks, distributed systems, security, and more.
According to code.org, there are 500,000 open programming positions available in the US— compared to an annual crop of just 50,000 graduating computer science majors. The US Department of Labor predicted that there will be almost a million and a half computer science jobs in the very near future, but only enough programmers to fill roughly one third of these jobs.
To bridge the gap, many people not formally trained in computer science are employed in programming jobs. Although they are able to start programming and coding quickly, it often takes them time to acquire the necessary understanding to gain the requisite skills to becomean efficient computer engineer or advanced developer.
What You Will Learn
- The fundamentals of how a computer works
- The basics of computer programming and programming paradigms
- How to write efficient programs
- How the hardware and software work together to provide a good user experience and enhance the usability of the system
- How computers can talk to each other
- How to ensure the security of the system
- The fundamentals of cloud offerings, implications/trade-offs, and deployment/adoption configurations
- The fundamentals of machine learning
Who This Book Is For
Computer programmers lacking a formal education in computer science, and anyone with a formal education in computer science, looking to develop a general understanding of computer science fundamentals
Kundenbewertungen
Computer Networks, Distributed Systems, Programming language, Cloud Computing, Computer Architecture, Security, Operating Systems, Algorithm and Data Structure, Machine Learning