Computer science handbook 2nd Edition by Allen Tucker ISBN 158488360X 9781584883609

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Product details:
ISBN 10: 158488360X
ISBN 13: 9781584883609
Author: Allen Tucker

When you think about how far and fast computer science has progressed in recent years, it’s not hard to conclude that a seven-year old handbook may fall a little short of the kind of reference today’s computer scientists, software engineers, and IT professionals need.

With a broadened scope, more emphasis on applied computing, and more than 70 chapters either new or significantly revised, the Computer Science Handbook, Second Edition is exactly the kind of reference you need. This rich collection of theory and practice fully characterizes the current state of the field and conveys the modern spirit, accomplishments, and direction of computer science.

Highlights of the Second Edition:

• Coverage that reaches across all 11 subject areas of the discipline as defined in Computing Curricula 2001, now the standard taxonomy
• More than 70 chapters revised or replaced
• Emphasis on a more practical/applied approach to IT topics such as information management, net-centric computing, and human computer interaction
• More than 150 contributing authors–all recognized experts in their respective specialties
• New chapters on:
  cryptography computational chemistry computational astrophysics human-centered software development
  cognitive modeling transaction processing data compression
  scripting languages event-driven programming
  software architecture

Computer science handbook 2nd Edition Table of contents:

1. Introduction to Computer Science

• History and Evolution of Computer Science
• Overview of Computer Science Disciplines
• The Role of Algorithms in Computing
• Theoretical and Applied Aspects of Computer Science

2. Theory of Computation

• Automata Theory and Formal Languages
• Turing Machines and Decidability
• Computational Complexity Theory
• P vs NP Problem
• Cryptography and Complexity

3. Algorithms and Data Structures

• Algorithm Design and Analysis
• Sorting and Searching Algorithms
• Data Structures: Arrays, Linked Lists, Stacks, and Queues
• Trees and Graphs: Traversals, Shortest Path, and Minimum Spanning Tree
• Hashing, Heaps, and Advanced Data Structures

4. Programming Languages

• History and Classification of Programming Languages
• Language Syntax and Semantics
• Paradigms of Programming: Imperative, Object-Oriented, Functional, and Logic Programming
• Compiler Design and Optimization
• Modern Programming Languages: C++, Java, Python, and Others

5. Software Engineering

• Software Development Life Cycle (SDLC)
• Requirements Analysis and System Design
• Software Testing and Quality Assurance
• Agile Methodologies and Project Management
• Maintenance and Evolution of Software Systems

6. Computer Architecture and Organization

• Basic Components of Computer Systems
• Processor Architecture and Instruction Set
• Memory Hierarchy: Cache, RAM, and Virtual Memory
• Input/Output Systems and Storage Devices
• Parallel and Distributed Computing Architectures

7. Operating Systems

• Introduction to Operating Systems
• Processes and Threads Management
• Memory Management and Virtualization
• File Systems and Disk Management
• System Security and Resource Allocation

8. Databases and Data Management

• Database Models: Relational, NoSQL, and Graph Databases
• Database Design and Normalization
• Query Languages: SQL and NoSQL Queries
• Transaction Management and Concurrency Control
• Data Warehousing and Big Data Technologies

9. Artificial Intelligence and Machine Learning

• Fundamentals of Artificial Intelligence
• Search Algorithms and Problem Solving
• Machine Learning: Supervised and Unsupervised Learning
• Neural Networks and Deep Learning
• AI in Natural Language Processing and Robotics

10. Computer Networks

• Network Models: OSI and TCP/IP
• Network Protocols: HTTP, FTP, TCP, UDP, IP
• Routing and Switching Algorithms
• Wireless and Mobile Networks
• Network Security and Cryptography

11. Human-Computer Interaction (HCI)

• User Interface Design Principles
• Usability and Accessibility
• Interaction Techniques: Touch, Gesture, Voice, and VR/AR
• Cognitive Aspects of HCI
• Evaluation and User Testing

12. Computational Science and Numerical Methods

• Numerical Methods for Solving Equations
• Computer Simulation and Modeling
• Computational Fluid Dynamics and Engineering
• Scientific Computing and Parallel Algorithms
• High-Performance Computing

13. Web Development and Internet Technologies

• Web Design and User Experience (UX)
• Front-End Technologies: HTML, CSS, JavaScript
• Back-End Development: Databases, Server-Side Programming
• Web Security and Authentication
• Cloud Computing and Web Services

14. Cybersecurity and Privacy

• Fundamentals of Computer Security
• Cryptography and Encryption Techniques
• Security Protocols and Authentication
• Network Security and Firewalls
• Privacy Issues and Data Protection Laws

15. Emerging Technologies

• Blockchain and Cryptocurrencies
• Internet of Things (IoT) and Smart Devices
• Quantum Computing
• Augmented Reality (AR) and Virtual Reality (VR)
• Autonomous Systems and Drones

16. Ethics, Social Issues, and Future of Computing

• Ethical Considerations in Computer Science
• Digital Divide and Technology Access
• Social Impacts of Technology: Privacy, Surveillance, and Big Data
• The Future of Computing: AI, Quantum, and Beyond
• Sustainability and Green Computing

17. Careers and Research in Computer Science

• Career Paths in Computer Science
• Research Opportunities in Computer Science
• Writing and Publishing Research Papers
• Academic vs. Industry Roles
• Professional Organizations and Networking

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