Book Image

Beginning Java Data Structures and Algorithms

By : Kristian Secor
Book Image

Beginning Java Data Structures and Algorithms

By: Kristian Secor

Overview of this book

Learning about data structures and algorithms gives you better insight on how to solve common programming problems. Most of the problems faced every day by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems. This course teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns. You'll also learn about data structures such as binary trees, hash tables, and graphs. The course progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the course, you will know how to correctly implement common algorithms and data structures within your applications.
Table of Contents (6 chapters)
Chapter 1
Algorithms and Complexities
Section 1
Course Overview
In this course you will learn everything the concepts pertaining to algorithms and data structures. Each of the popular examples of algorithms, such as bubble, quick, and merge sort can help you relate the algorithms to familiar programming scenarios such as arranging numbers in ascending or descending order, and so on. Detailed explanations of data structure examples such as binary tree, hash table, and graphs will help you understand the improved efficiency of the program.