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Data Structures & Algorithms using Java

Course Overview

The Data Structures & Algorithms using Java course is designed to provide participants with a comprehensive understanding of fundamental data structures and algorithms, implemented using the Java programming language. This course focuses on the principles of organizing and manipulating data efficiently, as well as developing algorithms for problem-solving. Mastery of data structures and algorithms is essential for building optimized and scalable software solutions.

Learn software skills with real experts, either in live classes with videos or without videos, whichever suits you best.

Description

This course begins with an introduction to basic concepts of data structures, covering arrays, linked lists, stacks, queues, trees, and graphs. Participants will learn algorithmic techniques such as searching, sorting, and recursive algorithms. The course emphasizes the implementation of these data structures and algorithms in Java, a versatile and widely-used programming language. Real-world examples and problem-solving exercises will be used to reinforce theoretical concepts.

Course Objectives

The primary objectives of the Data Structures & Algorithms using Java course are as follows:

Fundamental Data Structures: Provide a thorough understanding of fundamental data structures, including arrays, linked lists, stacks, and queues.
Trees and Graphs: Cover tree structures, including binary trees and balanced trees, as well as graph structures for representing relationships between data elements.
Algorithmic Techniques: Introduce algorithmic techniques for searching, sorting, and traversal of data structures.
Complexity Analysis: Teach participants how to analyze the time and space complexity of algorithms for evaluating their efficiency.
Dynamic Programming: Explore dynamic programming as an algorithmic paradigm for solving optimization problems.
Recursion: Cover recursive algorithms and their applications in problem-solving.
Hashing: Introduce hashing techniques and their application in data retrieval.
Graph Algorithms: Explore graph algorithms, including depth-first search (DFS) and breadth-first search (BFS).
Problem-Solving Skills: Enhance problem-solving skills by applying data structures and algorithms to real-world scenarios.
Java Programming Integration: Emphasize the implementation of data structures and algorithms using the Java programming language.

Prerequisites

- Basic understanding of Java programming language.
- Familiarity with object-oriented programming (OOP) concepts.
- Knowledge of basic data types (e.g., integers, strings).
- Understanding of control flow statements (e.g., loops, conditionals).
- Awareness of arrays and collections (e.g., ArrayList, HashMap).
- Experience with using and navigating Integrated Development Environments (IDEs).

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Course Curriculum

Introduction to Time and Space Complexity

Analysis of Algorithms
Time and Space Complexity notations
Why Big O dominates other notations
Standard categories of measuring the complexity
Graph representation of standard categories
Graph representation of standard categories
Counting the no. of operations in an algorithm/code
Role of constant terms in measuring the complexity
Methods of measuring the runtime of algorithm
Measuring auxiliary space requirements
Find the Time & Space Complexity of given code snippets

Discussion of solutions to problems from Competitive Programming platforms
Discussion of solutions to interview questions

Introduction to Arrays
Types for Arrays
Introduction to 1-D Arrays
Operations on 1-D Arrays
Frequency Array Technique
Two Pointers Technique
Sliding Window Technique
Prefix/Postfix Sum approach
Solving problems on Ranges
Introduction to 2-D Arrays
Operations on 2-D Arrays
Discussion of solutions to problems from Competitive Programming platforms
Discussion of solutions to problems from Competitive Programming platforms
Discussion of solutions to interview questions

Introduction to Recursion
Need of recursion
How recursion works
Recursion vs Iteration
Building the base conditions
Types of Recursion with examples
Introduction to Divide & Conquer(D&C) techniquec
Discussion of solutions to problems from Competitive Programming platforms
Discussion of solutions to interview questions

Introduction to Searching & Sorting
Need for Searching & Sorting
Linear search
Binary search
Sorting techniques

Selection sort
Bubble sort
Insertion sort
Shell sort
Merge Sort
Quick Sort

Discussion of solutions to problems from Competitive Programming platforms
Discussion of solutions to interview questions

Introduction to Self-referential objects
Linked Lists – Terminology
Types of Linked Lists
Representation of Linked Lists
Single Linked List
Circular Single Linked List
Double Linked List
Circular Double Linked List
Operations on Linked Lists
Floyd’s Algorithm & Problems
Discussion of solutions to problems from Competitive Programming platforms
Discussion of solutions to interview questions

Concept of Stack
Examples of Stack
Preliminary operations on Stack
Stack implementation
Implementation of two Stacks in Array
Introduction to Infix, Postfix and Prefix expressions
Limitation of Infix representation
Applications of Stack
Concept of Queue
Examples of Queue
Preliminary operations on Queue
Types of Queues
Queue using Stacks – Implementation
Applications of Queues
Discussion of solutions to problems from Competitive Programming platforms
Discussion of solutions to interview questions

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Who can learn this course

This course is suitable for a diverse range of individuals, including:

Programmers and Developers: Professionals aiming to strengthen their foundation in data structures and algorithms using Java.
Java Developers: Individuals looking to deepen their understanding of efficient data organization and algorithmic problem-solving within the Java ecosystem.
Computer Science Students: Students pursuing degrees in computer science or related fields with an interest in algorithms and data structures using Java.
Software Engineers: Those seeking to enhance their proficiency in Java and algorithmic problem-solving for building scalable applications.
Competitive Programmers: Enthusiasts participating in programming competitions aiming to enhance their algorithmic skills with Java.
System Architects: Professionals involved in designing and optimizing systems where efficient algorithms are crucial, utilizing Java as the programming language.
Interview Preparation: Individuals preparing for technical interviews that often include questions related to data structures and algorithms, specifically using Java.

The Data Structures & Algorithms using Java course caters to both beginners and individuals with some programming experience, offering a solid foundation in essential concepts for efficient software development and problem-solving within the Java ecosystem.