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Java: Linear Data Structures and Trees

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Java: Linear Data Structures and Trees

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Learners will learn about linear data structures. Topics start with the different varieties of linked lists and moves on to stacks and queues.

  • Trees are introduced as the first non-linear data structure. Topics include binary trees, tree traversal, searching a tree, and self-balancing trees.

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Taught in English

Build your subject-matter expertise

This course is part of the Java: Data Structures and Algorithms Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

Code and run your first Java program about data structures and algorithms in minutes without installing anything!

This course is designed for learners familiar with Java basics and object-oriented programming. It provides a solid foundation of not just Java, but core data structures and algorithms topics that can be transferred to other languages. The modules in this course cover linear data structures like lists (singly linked, doubly linked, circular), stacks, queues, and introduces the first non-linear data structure trees. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You'll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours.

Welcome to Week 1 of the Linear Data Structures and Trees course. You will learn about abstract data types (ADT), the list ADT, the many variations of the list (singly, doubly, circular linked lists), as well as iterators.

What's included

7 readings6 app items

7 readingsβ€’Total 10 minutes
  • Navigating Codio Assignmentsβ€’5 minutes
  • List ADT Lesson Notes (optional download)β€’0 minutes
  • Singly Linked Lists Lesson Notes (optional download)β€’0 minutes
  • Doubly Linked Lists Lesson Notes (optional download)β€’0 minutes
  • Circular Linked Lists Lesson Notes (optional download)β€’0 minutes
  • Iterators Lesson Notes (optional download)β€’0 minutes
  • How to Reset an Assignment in Codioβ€’5 minutes
6 app itemsβ€’Total 285 minutes
  • Codio: List ADT Coding Exercisesβ€’60 minutes
  • Codio: List ADTβ€’45 minutes
  • Codio: Singly Linked Listsβ€’45 minutes
  • Codio: Doubly Linked Listsβ€’45 minutes
  • Codio: Circular Linked Listsβ€’45 minutes
  • Codio: Iteratorsβ€’45 minutes

Welcome to Week 2 of the Linear Data Structures and Trees course. This module builds upon the list ADT and introduces other commonly used linear data structures like stacks, queues, priority queues, and deques (double-ended queues).

What's included

4 readings5 app items

4 readings
  • Stacks (LIFO) Lesson Notes (optional download)β€’0 minutes
  • Queues (FIFO) Lesson Notes (optional download)β€’0 minutes
  • Priority Queues Lesson Notes (optional download)β€’0 minutes
  • Deques Lesson Notes (optional download)β€’0 minutes
5 app itemsβ€’Total 240 minutes
  • Codio: Stacks and Queues ADT Coding Exercisesβ€’60 minutes
  • Codio: Stacks (LIFO)β€’45 minutes
  • Codio: Queues (FIFO)β€’45 minutes
  • Codio: Priority Queuesβ€’45 minutes
  • Codio: Dequesβ€’45 minutes

Welcome to Week 3 of the Linear Data Structures and Trees course. This module introduces the first non-linear data structure, trees. Topics include the tree ADT, binary trees, binary search trees, tree traversal, and different searching algorithms for trees.

What's included

4 readings5 app items

4 readings
  • Tree ADT Lesson Notes (optional download)β€’0 minutes
  • Tree Traversals Lesson Notes (optional download)β€’0 minutes
  • Binary Trees and Binary Search Trees Lesson Notes (optional download)β€’0 minutes
  • Depth-First and Breadth-First Searches Lesson Notes (optional download)β€’0 minutes
5 app itemsβ€’Total 240 minutes
  • Codio: Tree ADT Coding Exercisesβ€’60 minutes
  • Codio: Tree ADTβ€’45 minutes
  • Codio: Tree Traversalsβ€’45 minutes
  • Codio: Binary Trees and Binary Search Treesβ€’45 minutes
  • Codio: Depth-First and Breadth-First Searchesβ€’45 minutes

Welcome to Week 4 of the Linear Data Structures and Trees course. This module builds upon the tree ADT and introduces data structures that reconfigure themselves to maintain balance and good performance. Topics include AVL trees, Red-Black trees, and B-trees.

What's included

3 readings4 app items

3 readings
  • AVL-Trees Lesson Notes (optional download)β€’0 minutes
  • Red-Black Trees Lesson Notes (optional download)β€’0 minutes
  • B-Trees Lesson Notes (optional download)β€’0 minutes
4 app itemsβ€’Total 195 minutes
  • Codio: Self-Balancing Trees Coding Exercisesβ€’60 minutes
  • Codio: AVL-Treesβ€’45 minutes
  • Codio: Red-Black Treesβ€’45 minutes
  • Codio: B-Treesβ€’45 minutes

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30 Coursesβ€’116,315 learners

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Frequently asked questions

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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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