Description

Introduction

This course delves into advanced data structures including Linked Lists, Stacks, and Queues, which form the backbone of efficient algorithms and real-world applications. Participants will learn how to design, implement, and optimize these structures to solve complex computational problems. By mastering these, learners can handle dynamic data efficiently and prepare for advanced topics like trees, graphs, and algorithmic problem-solving.

Prerequisites

• Understanding of basic programming concepts (loops, conditions, functions)

• Familiarity with arrays and strings

• Basic knowledge of algorithmic complexity (Big O notation)

• Prior exposure to DS & Algo fundamentals is recommended

Course Contents

1. Linked Lists
   1.1 Introduction and Conceptual Overview
   1.2 Types of Linked Lists:
   – Singly Linked List
   – Doubly Linked List
   – Circular Linked List
   1.3 Implementation in Programming Languages (C, C++, Java, Python)
   1.4 Operations on Linked Lists:
   – Insertion (Beginning, End, Specific Position)
   – Deletion (Beginning, End, Specific Position)
   – Traversal
   – Searching
   1.5 Advanced Operations:
   – Reversing a Linked List
   – Detecting and Removing Loops
   – Merging Two Linked Lists
   1.6 Use Cases and Applications of Linked Lists

2. Stacks
   2.1 Introduction and Conceptual Overview
   2.2 Stack Implementation:
   – Using Arrays
   – Using Linked Lists
   2.3 Stack Operations:
   – Push, Pop, Peek
   – Checking for Empty/Full Stack
   2.4 Applications of Stacks:
   – Expression Evaluation (Infix, Prefix, Postfix)
   – Undo-Redo Functionality
   – Function Call Stack in Recursion
   2.5 Advanced Stack Problems:
   – Balanced Parentheses
   – Next Greater Element Problem

3. Queues
   3.1 Introduction and Conceptual Overview
   3.2 Types of Queues:
   – Simple Queue
   – Circular Queue
   – Priority Queue
   – Deque (Double-Ended Queue)
   3.3 Queue Implementation:
   – Using Arrays
   – Using Linked Lists
   3.4 Queue Operations:
   – Enqueue, Dequeue, Front, Rear
   – Checking for Empty/Full Queue
   3.5 Applications of Queues:
   – CPU Scheduling
   – Print Queue Management
   – BFS in Graphs

4. Advanced Concepts
   4.1 Memory Management and Optimization
   4.2 Comparison Between Arrays, Linked Lists, Stacks, and Queues
   4.3 Common Problems and Algorithmic Patterns
   4.4 Best Practices in Implementation

5. Hands-on Coding Practice
   5.1 Implementing Linked Lists, Stacks, and Queues from Scratch
   5.2 Solving Algorithmic Challenges Using Advanced Data Structures
   5.3 Mini Projects and Real-world Examples

6. Interview and Competitive Programming Focus
   6.1 Common Linked List, Stack, and Queue Problems in Interviews
   6.2 Optimized Solutions and Techniques
   6.3 Time and Space Complexity Analysis

By the end of this course, participants will have a deep understanding of linked lists, stacks, and queues, including their implementation, operations, and real-world applications. Learners will be well-prepared for advanced data structures, algorithmic challenges, and technical interviews, gaining both theoretical knowledge and practical coding expertise.