Data Structure and Algorithms in Java

Overview

This course on Data Structures and Algorithms in Java aims to teach students the fundamental concepts of organizing and storing data efficiently using various data structures such as arrays, linked lists, stacks, queues, binary trees, binary search trees, and graphs. Additionally, students will learn algorithmic analysis, sorting and searching techniques, including linear search, binary search, insertion sort, selection sort, and quick sort. The course covers approaches like Greedy, Dynamic Programming, and Divide and Conquer. The teaching method includes theoretical explanations, practical implementations in Java, and complexity analysis of algorithms. This course is intended for individuals interested in computer science, programming, software development, and algorithmic problem-solving.

Syllabus

Introduction.
Agenda .
Introduction to Data Structure .
Types of Data Structure .
Arrays Introduction .
Arrays Implementation .
Advantages and Disadvantages of Arrays .
Stack introduction .
Stack implementation .
Advantages and Disadvantages of Stack .
Queue introduction .
Queue implementation .
Advantages and Disadvantages of Queue.
Linked list introduction .
Linked list types .
Linked List implementation .
Circular Linked list implementation .
Advantages and Disadvantages of Linked List .
Binary tree introduction .
Binary tree implementation .
Advantages and Disadvantages of Binary Tree .
Binary search tree introduction .
Binary search tree implementation .
Advantages and Disadvantages of Binary search Tree .
Graphs introduction.
Breadth first search implementation .
Depth first search implementation .
Hash tables introduction .
Hashing implementation .
Algorithms introduction and algorithmic analysis .
Finding space and time complexity .
Linear Search .
Linear search implementation .
Complexity analysis of Linear Search .
Binary Search .
Bnary search implementation .
Complexity analysis of Binary Search .
Insertion sort .
Insertion sort implementation .
Complexity analysis of Insertion sort .
Selection sort .
Selection sort implementation .
Complexity analysis of Selection sort .
Quick sort .
Quick sort implementation .
Complexity analysis of Quick sort .
Introduction to Divide and Conquor approach .
Merge sort .
merge sort implementation .
Introduction to Greedy's approach .
Prim's minimal Spanning Tree algorithm .
Prim's minimal Spanning Tree algorithm implementation .
Introduction to Dynamic Programming .
Tower of Hanoi .
Tower of Hanoi implementation .
Summary .