Computer Science: An Overview (Subscription), 13th Edition
©2019 | Pearson
Glenn Brookshear, Marquette University
Dennis Brylow, Marquette University
©2019 | Pearson
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For Introduction to Computer Science courses.
Computer Science: An Overview is written for students of computer science as well as students from other disciplines. Its broad coverage and clear exposition are accessible to students from all backgrounds, encouraging a practical and realistic understanding of the subject. Written to provide students with a bottom-up, concrete-to-abstract foundation, this broad background exposes beginning computer science students to the breadth of the subject in which they are planning to major, and students from other disciplines to what they need to relate to the technical society in which they live.
Individual chapters are independent, and can be covered in an order that suits instructor course needs with selected content marked as optional for the introductory course. With a new full-colour design, each chapter in the 13th Edition has seen revisions, updates, and corrections from the previous editions. The text also continues to use Python to provide programming tools for exploration and experimentation. More than 1,000 questions and exercises, Chapter Review Problems, and Social Issues questions reinforce core concepts.
Develops a practical, realistic understanding of computer science
Reinforces core concepts
* Asterisks indicate suggestions for optional sections.
0.1 The Role of Algorithms
0.2 The History of Computing
0.3 An Outline of Our Study
0.4 The Overarching Themes of Computer Science
1. Data Storage
1.1 Bits and Their Storage
1.2 Main Memory
1.3 Mass Storage
1.4 Representing Information as Bit Patterns
*1.5 The Binary System
*1.6 Storing Integers
*1.7 Storing Fractions
*1.8 Data and Programming
*1.9 Data Compression
*1.10 Communication Errors
2. Data Manipulation
2.1 Computer Architecture
2.2 Machine Language
2.3 Program Execution
*2.4 Arithmetic/Logic Instructions
*2.5 Communicating with Other Devices
*2.6 Programming Data Manipulation
*2.7 Other Architectures
3. Operating Systems
3.1 The History of Operating Systems
3.2 Operating System Architecture
3.3 Coordinating the Machine’s Activities
*3.4 Handling Competition Among Processes
4. Networking and the Internet
4.1 Network Fundamentals
4.2 The Internet
4.3 The World Wide Web
*4.4 Internet Protocols
*4.5 Simple Client Server
5.1 The Concept of an Algorithm
5.2 Algorithm Representation
5.3 Algorithm Discovery
5.4 Iterative Structures
5.5 Recursive Structures
5.6 Efficiency and Correctness
6. Programming Languages
6.1 Historical Perspective
6.2 Traditional Programming Concepts
6.3 Procedural Units
6.4 Language Implementation
6.5 Object-Oriented Programming
*6.6 Programming Concurrent Activities
*6.7 Declarative Programming
7. Software Engineering
7.1 The Software Engineering Discipline
7.2 The Software Life Cycle
7.3 Software Engineering Methodologies
7.5 Tools of the Trade
7.6 Quality Assurance
7.8 The Human-Machine Interface
7.9 Software Ownership and Liability
8. Data Abstractions
8.1 Basic Data Structures
8.2 Related Concepts
8.3 Implementing Data Structures
8.4 A Short Case Study
8.5 Customized Data Types
8.6 Classes and Objects
*8.7 Pointers in Machine Language
9. Database Systems
9.1 Database Fundamentals
9.2 The Relational Model
*9.3 Object-Oriented Databases
*9.4 Maintaining Database Integrity
*9.5 Traditional File Structures
9.6 Data Mining
9.7 Social Impact of Database Technology
10. Computer Graphics
10.1 The Scope of Computer Graphics
10.2 Overview of 3D Graphics
*10.5 Dealing with Global Lighting
11. Artificial Intelligence
11.1 Intelligence and Machines
11.4 Additional Areas of Research
11.5 Artificial Neural Networks
11.7 Considering the Consequences
12. Theory of Computation
12.1 Functions and Their Computation
12.2 Turing Machines
12.3 Universal Programming Languages
12.4 A Noncomputable Function
12.5 Complexity of Problems
*12.6 Public-Key Cryptography
B. Circuits to Manipulate Two’s Complement Representations
C. Vole: A Simple Machine Language
D. High-Level Programming Languages
E. The Equivalence of Iterative and Recursive Structures
F. Answers to Questions & Exercises
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J. Glenn Brookshear is a Professor Emeritus at Marquette University where he taught Formal Language, Introduction to Computer Science, and Theory of Computation. He is the author of the previous editions of Computer Science: An Overview.
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