Codio
Java: Linear Data Structures and Trees

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Codio

Java: Linear Data Structures and Trees

Patrick Ester
Kevin Noelsaint

Instructors: Patrick Ester

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

Recommended experience

16 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

16 hours to complete
3 weeks at 5 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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Recently updated!

October 2024

Taught in English

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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.
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There are 4 modules in this course

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

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

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

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

Instructors

Patrick Ester
Codio
27 Courses68,254 learners

Offered by

Codio

Recommended if you're interested in Algorithms

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