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Essential computer science : a programmers guide to foundational concepts

Title
Essential computer science : a programmers guide to foundational concepts / Paul D. Crutcher, Neeraj Kumar Singh, Peter Tiegs.
ISBN
9781484271070
1484271076
9781484271063
1484271068
Publication
[Berkeley] : Apress, [2021]
Copyright Notice Date
©2021
Physical Description
1 online resource : illustrations
Local Notes
Access is available to the Yale community.
Notes
Online resource; title from PDF title page (SpringerLink, viewed June 17, 2021).
Access and use
Access restricted by licensing agreement.
Summary
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 become an efficient computer engineer or advanced developer. 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.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version:
Format
Books / Online
Language
English
Added to Catalog
March 03, 2022
Bibliography
Includes bibliographical references and index.
Contents
Chapter 1: Fundamentals of a Computer System
Chapter 2: Programming
Chapter 3: Algorithm and Data Structure
Chapter 4: Operating System
Chapter 5: Computer Networks and Distributed Systems
Chapter 6: Computer Security
Chapter 7: Cloud Computing
Chapter 8: Machine Learning
Appendix A: Software Development Lifecycle
Appendix B: Software Engineering Practices
Appendix C: ACPI System States
Appendix D: System Boot Flow.-.
Citation

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