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Computer Science The Hardware Software and Heart of It 2011th Edition by Edward K Blum, Alfred V Aho ISBN 146141167X 9781461411673

Name: Computer Science The Hardware Software and Heart of It 2011th Edition by Edward K Blum, Alfred V Aho ISBN 146141167X 9781461411673
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Authors:Alfred V. Aho, Edward K. Blum , Tags:Springer 2011; 146141167X 9781461411673 , Author sort:Alfred V. Aho, Edward K. Blum , Languages:Languages:eng

SKU: EB-14026 Category: eBook PDF Tags: Alfred V Aho, Computer Science, Edward K Blum, Hardware Software, Heart

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ISBN 10: 146141167X
ISBN 13: 9781461411673
Author: Edward K Blum, Alfred V Aho

Computer Science: The Hardware, Software and Heart of It focuses on the deeper aspects of the two recognized subdivisions of Computer Science, Software and Hardware. These subdivisions are shown to be closely interrelated as a result of the stored-program concept. Computer Science: The Hardware, Software and Heart of It includes certain classical theoretical computer science topics such as Unsolvability (e.g. the halting problem) and Undecidability (e.g. Godel’s incompleteness theorem) that treat problems that exist under the Church-Turing thesis of computation. These problem topics explain inherent limits lying at the heart of software, and in effect define boundaries beyond which computer science professionals cannot go beyond. Newer topics such as Cloud Computing are also covered in this book. After a survey of traditional programming languages (e.g. Fortran and C++), a new kind of computer Programming for parallel/distributed computing is presented using the message-passing paradigm which is at the heart of large clusters of computers. This leads to descriptions of current hardware platforms for large-scale computing, such as clusters of as many as one thousand which are the new generation of supercomputers. This also leads to a consideration of future quantum computers and a possible escape from the Church-Turing thesis to a new computation paradigm.

The book’s historical context is especially helpful during this, the centenary of Turing’s birth. Alan Turing is widely regarded as the father of Computer Science, since many concepts in both the hardware and software of Computer Science can be traced to his pioneering research. Turing was a multi-faceted mathematician-engineer and was able to work on both concrete and abstract levels. This book shows how these two seemingly disparate aspects of Computer Science are intimately related. Further, the book treats the theoretical side ofComputer Science as well, which also derives from Turing’s research.

Computer Science: The Hardware, Software and Heart of It is designed as a professional book for practitioners and researchers working in the related fields of Quantum Computing, Cloud Computing, Computer Networking, as well as non-scientist readers. Advanced-level and undergraduate students concentrating on computer science, engineering and mathematics will also find this book useful.

Computer Science The Hardware Software and Heart of It 2011th Table of contents:

Chapter 1: Introduction to Computer Science

1.1 The Evolution of Computing
1.2 Defining Computer Science: Hardware, Software, and Algorithms
1.3 The Role of Computer Science in Modern Society
1.4 Understanding the Relationship Between Hardware and Software
1.5 Key Areas of Study in Computer Science

Chapter 2: The Building Blocks of Computer Hardware

2.1 Basic Components: CPU, Memory, and I/O
2.2 The Central Processing Unit (CPU): Function and Architecture
2.3 Memory Hierarchy: Registers, Cache, and Main Memory
2.4 Input and Output Devices
2.5 Understanding Digital Logic and Circuitry
2.6 Computer Architecture: A Detailed Overview

Chapter 3: Software Fundamentals

3.1 What is Software? Types and Classifications
3.2 Operating Systems: Managing Hardware and Software
3.3 Compilers and Interpreters
3.4 Programming Languages: From Assembly to High-Level Languages
3.5 Software Development Life Cycle (SDLC)
3.6 Debugging and Optimization Techniques

Chapter 4: Algorithms and Data Structures

4.1 Defining Algorithms: Problem Solving with Computers
4.2 Analyzing Algorithm Efficiency: Time and Space Complexity
4.3 Common Data Structures: Arrays, Linked Lists, Stacks, and Queues
4.4 Trees and Graphs: Structures for Organizing Data
4.5 Searching and Sorting Algorithms
4.6 Algorithmic Paradigms: Divide and Conquer, Greedy Methods, Dynamic Programming

Chapter 5: The Heart of Computing: Computational Theory