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Data Structures with Generic Types in Java

Gain insights into array-based and linked list implementations, delve into advanced structures like skiplists and hashing, and explore tree and graph implementations.

4.8

96 Lessons

28h

Updated 1 month ago

Also available in

C++

Java

Python

Also available in

Java

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LEARNING OBJECTIVES

Thorough understanding of data structures and algorithms
Working knowledge of array-based, linked list-based, and blended implementations
Hands-on experience of Java interfaces, classes, and templates
Familiarity with complexity analysis of data structures and related algorithms

Learning Roadmap

96 Lessons14 Quizzes

Overview

Get familiar with data structures' basics, their efficiency, interfaces, and mathematical foundations.

Introduction

The Need for Efficiency

Interfaces

Mathematical Background

The Model of Computation

Approach and Coverage

Quiz

Discussion

Array-Based Lists

Get started with array-based lists, from ArrayStack to RootishArrayStack, enhancing efficiency.

Array Implementation of Stack

ArrayQueue: An Array-Based Queue

ArrayDeque: Fast Deque Operations Using an Array

DualArrayDeque: Building a Deque from Two Stacks

RootishArrayStack: A Space-Efficient Array Stack

Analysis of RootishArrayStack

Quiz on Array-Based Lists

Discussion on Array-Based Lists

Exercise: Array-Based Lists

Solution: Array-Based Lists

Linked Lists

7 Lessons

Examine linked lists, their types, operations, efficiency, and advanced variations.

Skiplists

8 Lessons

Break down complex ideas of implementing and analyzing Skiplist data structures for efficient operations.

Hash Tables

7 Lessons

Explore efficient storage with hash tables, focusing on chaining, probing, and hash codes.

Binary Trees

5 Lessons

Focus on understanding binary trees, basic construction, binary search trees, traversals, and implementation nuances.

Random Binary Search Trees

6 Lessons

Practice using randomized binary search trees and Treaps for efficient operations.

Scapegoat Trees

6 Lessons

Get familiar with maintaining balance in Scapegoat Trees and optimizing their operations effectively.

Red-Black Trees

5 Lessons

Discover the logic behind Red-Black Trees, their operations, and their efficiency in balanced data structures.

10.

Heaps

6 Lessons

Go hands-on with BinaryHeap, MeldableHeap, their operations, efficiency, and practical exercises.

11.

Sorting Algorithms

9 Lessons

Apply your skills to understanding and implementing various sorting algorithms and their efficiencies.

12.

Graphs

8 Lessons

Take a closer look at graph structures, representations, traversal algorithms, and sink identification.

13.

Data Structures for Integers

4 Lessons

Follow the process of implementing optimized data structures for efficient integer operations.

14.

External Memory Searching

6 Lessons

Master the steps to implement, search, add, and remove efficiently with B-Trees.

15.

Wrap Up

Get familiar with comprehensive data structures in Java, from arrays to graph implementations.

Conclusion

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

ABOUT THIS COURSE

Data structures and algorithms are essential in computer science since they play a crucial role in efficient information retrieval and processing, dealing with files, storing contacts on phones, social networks and web searches. In this course, you’ll learn about the array-based implementation of various linear data structures, stack, and queues. You’ll also learn about linked list-based implementation. Next, you’ll explore advanced data structures like skiplists and hashing. You’ll learn how to implement a variety of trees and graphs, and data structures related to bits of an integer. Toward the end of the course, you’ll learn the implementation of structures based on external storage. After completing this course, you’ll be able to create reusable programs with template-based collections that can efficiently analyze how to optimize the storage and retrieval of very large amounts of data. Overall, this course will enhance your productivity and performance as a software developer.

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