Data Structures in Java:From Abstract Data Types to the Java Collections Framework

Simon Gray
November 2006
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Data Structures in Java:From Abstract Data Types to the Java Collections Framework
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Simon Gray's consistent and coherent approach to data structures teaches students to focus on software design and testing as they learn to develop high-quality software programs. He introduces each collection as an abstract data type and then guides students through a design process. This effective model illustrates that construction of high-quality software requires careful planning.


With Gray's methodology, students become independent problem solvers by repeated practice planning, creating, testing, implementing, and then analyzing their work. Students also gain experience using an industry-standard library, while developing an understanding of what goes into creating such a library.


  • Uses the Java Collections Framework (JCF) to introduce collection types, giving students practical programming experience with an industry-standard library. The JCF is also used to address issues such as generic types, inheritance, polymorphism, and design problems.
  • Extensive use of UML with complete examples making difficult concepts such as inheritance and composition more concrete.
  • Emphasizes software testing through development of a unit test for each collection type prior to presentation of the implementation.
  • Consistent approach to introducing each collection type provides students with an effective model to follow as they develop their problem-solving skills.
  • Includes Investigate sections, giving students the opportunity to further explore topics from most chapters.

Table of Contents

Chapter 0     Introduction to What We Will be Studying

0.1       Abstraction

0.2       Algorithms

0.3       Object-Oriented Programming

0.4       The Software Life Cycle

0.5       Software Testing

0.6       The Unified Modeling Language: Using Pictures to Express Design

0.7       Software Design Patterns: Applying Proven Solutions to New Problems

0.8       Collections and the Java Collections Framework



Chapter 1     Object-Oriented Programming and Java

1.1       Abstraction and Abstract Data Types

1.2       The Object-Oriented Approach

1.3       Code Reuse Through Composition and Inheritance

Investigate: Inheritance, Packages, and Access Modifiers

1.4       Polymorphism and Generic Programming

1.5       Case Study: a Shapes Hierarchy

1.6       Java Generic Types



Chapter 2   Error Handling, Software Testing, and Program Efficiency

2.1        Error Handling with Exceptions

2.2       Software Testing

2.3       Analysis and Measurement of Algorithms



Chapter 3   Fundamental Data Structures: The Array and Linked Data Structures

3.1         The Array Data Structure

3.2         Array Operations

3.3         The Linked Data Structure

3.4         A Generic Singly Linked Data Structure

3.5         The Doubly Linked Data Structure

3.6         The Circular Linked List

3.7         Selecting a Data Structure

3.8         Focus on Problem Solving: The ACME Courier Company



Chapter 4     A Basic Collection Class

4.1        The Collection Interface in the Java Collections Framework

4.2         Iterators and the Iterator Design Pattern

4.3        Collection Basics: Objects, Casting, Operations, and Iterators

4.4        Developing a Test Plan for BasicCollection

4.5        Testing with JUnit

4.6        The java.util.AbstractCollection Abstract Class

4.7        More Java Generics: Inheritance, Wildcards, and Generic Methods

4.8        Implementation of the BasicCollection Class

4.9        Analysis of the Implementation

Investigate: equals(), hashcode(), and toArray()

4.10     Cloning



Chapter 5   The List Abstract Data Type

5.1        List Description

5.2        The List ADT

5.3        The List Interface in the Java Collections Framework

5.4        Designing a Test Plan

5.5        Focus on Problem Solving: CourierModel Revisited

Investigate: The Serializable Interface - Adding Persistence to the Courier Application

5.6        A Linked List Implementation of the List ADT

5.7        Implementing the Test Plan

5.8        Analysis and Measurement




Chapter 6    The Stack Abstract Data Type

6.1        Stack Description

6.2        Stack Specification

6.3        The Stack Interface

6.4        Designing a Test Plan

6.5        Focus on Problem Solving: Evaluation of Postfix Expressions

6.6        Stack Implementation: ListStack-Using the Adapter Design Pattern

6.7        Stack Implementation: ListStack-Using a Linked Data Structure

6.8        Implementing the Test Plan

6.9        Evaluation of the Implementations

Investigate: Measuring the Cost of Using and Adapter



Chapter 7    The Queue Abstract Data Type

7.1        Queue Description

7.2        Queue Specification

7.3        The Queue Interface

7.4        Designing a Test Plan

7.5        Focus on Problem Solving: The Leaky Bucket Algorithm

7.6        List Implementation Using the Adapter Design Pattern

7.7        ArrayQueue: Implementing Queue Using an Array

7.8        Testing the Implementation

7.9        Evaluation of the Implementations

Investigate: A First Look at Priority Queues




Chapter 8    Recursion

8.1        What Is Recursion?

8.2        Recursive Definitions

8.3        Problem Definitions and Recursive Programming

8.4        Recursion as Iteration

8.5        Evaluating Recursion

8.6        Focus on Problem Solving: Cell Identification in MineSweeper

Investigate: Simulating Recursion Using Loops and a Stack




Chapter 9    Sorting and Searching

9.1        Sorting Terminology

9.2        Sorting Primitive Types in an Array

9.3        Comparing Objects

9.4        Sorting Lists and Linked Lists

Investigate: Using Comparators to Sort WorkOrders

9.5        Searching for Objects

9.6        Focus on Problem Solving: External Sorting


Chapter 10    Trees

10.1      Tree Terminology

10.2      Binary Tree Description

10.3      Binary Tree Specification

10.4      Implementations of the Binary Tree ADT

10.5      Heaps and Binary Trees

10.6      Focus on Problem Solving: Data Compression Using Huffman Trees

Investigate: A Second Look at Priority Queues



Chapter 11    Binary Search Trees

11.1        The Binary Search Tree ADT

11.2        Linked Implementation of BinarySearchTree

11.3        Focus on Problem Solving: A Modifiable Spell Checker

11.4        The Need for a Balanced Search Tree

11.5        AVL Tree: A Balanced Binary Search Treee

Investigate: Finding the kth Smallest Element in a Binary Search Tree

11.6        Splay Tree: A Self-Adjusting Binary Search Tree




Chapter 12    The Map ADT

12.1        The Map ADT

12.2        Focus on Problem Solving: A Pizza Ordering System

12.3        Hashing and Hash Tables

12.3        HashMap: A Hash Table Implementation of Map

12.3.1     Testing HashMap

Investigate: Radix Sort

12.4        Ordered Map

12.5        MultiMap


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