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Readings from Programming with Java

By Kyla McMullen, Elizabeth Matthews, June Jamrich Parsons

1st Edition © 2023
Discipline:Computing & Information Technology
Course:Programming
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Ideal for those who have never programmed, McMullen/Matthews/Parsons' READINGS FROM PROGRAMMING WITH JAVA pairs conceptual content with rich examples and hands-on learning activities that convey the components and structure of the Java programming language. Straightforward, the text emphasizes fundamental computer concepts from a Java programming approach in a clear presentation with little technical jargon. Modules introduce key computer science concepts, procedural programming and object-oriented programming in short segments and can be used in any order -- giving instructors flexibility to intersperse conceptual modules with hands-on programming modules. Real-world examples, streamlined code and descriptive figures help students understand today's computing concepts. Students will sharpen critical-thinking and problem-solving skills as they build their computer science knowledge and confidence.

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AboutTable of contentsResourcesPricing & formatsRelated products

About this product

Ideal for those who have never programmed, McMullen/Matthews/Parsons' READINGS FROM PROGRAMMING WITH JAVA pairs conceptual content with rich examples and hands-on learning activities that convey the components and structure of the Java programming language. Straightforward, the text emphasizes fundamental computer concepts from a Java programming approach in a clear presentation with little technical jargon. Modules introduce key computer science concepts, procedural programming and object-oriented programming in short segments and can be used in any order -- giving instructors flexibility to intersperse conceptual modules with hands-on programming modules. Real-world examples, streamlined code and descriptive figures help students understand today's computing concepts. Students will sharpen critical-thinking and problem-solving skills as they build their computer science knowledge and confidence.

CRITICAL THINKING Q&A: Helping students focus on key material, a series of brief critical thinking questions review the main points introduced in each chapter as well as reinforce new concepts at the moment of learning.

COMPREHENSIVE TEST BANK: Choosing from over 350 multiple-choice language-agnostic Test Bank questions, instructors can easily create concept-based assessments to effectively evaluate student understanding.

ROBUST INSTRUCTOR’S MANUAL: Lesson-by-lesson outlines equip instructors with helpful suggestions for presenting difficult concepts, additional code examples and questions that prompt lively class discussions.

POWERPOINT REVIEW: Students can use the PowerPoints to review key concepts -- maximizing their study time and course success.

Table of contents

Chapters

Cover Page
Title Page
Copyright Page
Preface
About the Authors
Acknowledgments
Module 1. Computational Thinking*Preview this chapter
Module 2. Programming Tools
Module 3. Literals, Variables, and Constants
Module 4. Numeric Data Types and Expressions
Module 5. Character and String Data Types
Module 6. Decision Control Structures
Module 7. Repetition Control Structures
Module 8. Methods
Module 9. Arrays
Module 10. Recursion
Module 11. Classes and Objects
Module 12. Encapsulation
Module 13. Inheritance
Module 14. Polymorphism
Module 15. Exceptions
Module 16. File Operations
Module 17. Abstract Classes and Interfaces
Module 18. Generics
Module 19. Linked List Data Structures
Module 20. Stacks, Queues, and Tables
Module 21. Trees and Graphs
Module 22. Algorithm Complexity and Big-O Notation
Module 23. Search Algorithms
Module 24. Sorting Algorithms
Module 25. Processor Architecture
Module 26. Data Representation
Module 27. Programming Paradigms
Module 28. User Interfaces
Module 29. Software Development Methodologies
Module 30. Pseudocode, Flowcharts, and Decision Tables
Module 31. Unified Modeling Language
Show more

Module 1. Computational ThinkingPreview this chapter ↗

1.1
Algorithms
Preview this section ↗
Algorithm Basics (1.1.1, 1.1.4) ↗
Programming Algorithms (1.1.2, 1.1.3, 1.1.5) ↗
“Good” Algorithms (1.1.6, 1.1.7) ↗
Selecting and Creating Algorithms (1.1.8, 1.1.9, 1.1.10) ↗
1.2
Decomposition
Preview this section ↗
Decomposition Basics (1.2.1) ↗
Structural Decomposition (1.2.2, 1.2.3, 1.2.4, 1.2.7) ↗
Functional Decomposition (1.2.5) ↗
Object-Oriented Decomposition (1.2.6) ↗
Dependencies and Cohesion (1.2.8) ↗
1.3
Pattern Identification
Preview this section ↗
Pattern Identification Basics (1.3.1, 1.3.2) ↗
Repetitive Patterns (1.3.3) ↗
Classification Patterns (1.3.4, 1.3.5) ↗
1.4
Abstraction
Preview this section ↗
Abstraction Basics (1.4.1, 1.4.2, 1.4.3) ↗
Classes and Objects (1.4.4, 1.4.5) ↗
Black Boxes (1.4.6) ↗
Levels of Abstraction (1.4.7) ↗
Summary ↗
Key Terms ↗

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