15-Sessions OOP + DSA Mastery Workshop

From Basics to Mastery: OOP and DSA for LeetCode and Hackathons

This 15-sessions workshop is designed to provide a comprehensive and in-depth understanding of Object-Oriented Programming (OOP) principles and Data Structures & Algorithms (DSA), with a focus on applying these concepts in competitive coding platforms like LeetCode and real-world hackathons. Whether you’re preparing for coding interviews, developing efficient software solutions, or participating in high-stakes competitions, mastering OOP and DSA is essential for becoming a proficient problem-solver.

The workshop takes a hands-on approach, combining theory, practical examples, and daily LeetCode challenges. Students will not only learn how to structure their code using OOP principles but also how to design and implement efficient algorithms for complex data manipulation. Each sessiom is structured to build upon the previous one, ensuring a smooth learning curve that takes you from basic concepts to advanced applications.

By the end of the workshop, students will have a solid foundation in OOP, DSA, and problem-solving strategies that can be directly applied to coding challenges, real-world projects, and career advancement.

Why Students Should Focus on OOP and DSA

1. Competitive Coding and Interview Preparation:

LeetCode, HackerRank, and other competitive coding platforms place a heavy emphasis on both OOP design and efficient use of data structures and algorithms. In most coding interviews, companies like Google, Amazon, Facebook, and Microsoft will test your understanding of DSA and your ability to design systems using OOP principles.

• OOP skills help you structure your code in a maintainable and scalable way.
• DSA proficiency allows you to solve problems efficiently, especially those that deal with large datasets, optimization, and performance.

This workshop is tailored to focus on the types of problems commonly found in coding interviews and hackathons, ensuring you’re prepared for real-world challenges.

2. Solving Complex Real-World Problems:

In modern software development, both OOP and DSA are critical for building scalable and efficient systems. Most real-world applications, whether in web development, mobile apps, or data engineering, require developers to understand how to:

• Design software systems using OOP principles that can grow and change without requiring large-scale code rewrites.
• Use data structures and algorithms to manage, store, and retrieve data efficiently, especially when dealing with millions of data points in real-time.

By focusing on these topics, students will be better equipped to tackle the complexities of large-scale system designs and improve their ability to work on real-time projects.

3. Hackathon Performance:

Hackathons are fast-paced competitions where participants need to quickly design and implement functional systems. Mastering OOP and DSA allows students to:

• Quickly prototype well-structured solutions.
• Use efficient algorithms to solve challenges within the time constraints.
• Collaborate effectively by writing clean and modular code that can be easily understood and extended by team members.

With the knowledge gained from this workshop, students will be able to approach hackathons confidently and increase their chances of winning or placing highly in competitions.

4. Career Advancement and Versatility:

OOP and DSA are fundamental skills for any software developer. Mastering them can open up a wide range of career opportunities, as almost every software development role requires these skills. Companies are looking for developers who can:

• Write optimized, scalable code.
• Design systems that are easy to maintain, extend, and debug.
• Work with complex data structures to solve real-world problems.

Whether your goal is to become a full-stack developer, data scientist, AI engineer, or work in any other software-related role, this workshop will equip you with the essential skills to succeed.

5. Strong Problem-Solving Foundation:

Learning OOP and DSA instills a strong foundation in logical thinking and problem-solving. These concepts teach you to break down large problems into manageable parts, analyze the best approach, and write efficient code to solve them. It helps you tackle challenges methodically, which is crucial for both programming and other problem-solving domains in life.

Table of Contents

1. Session 1: Introduction to OOP and DSA
2. Session 2: Classes, Objects, and Arrays
3. Session 3: Encapsulation and Linked Lists
4. Session 4: Inheritance and Stacks
5. Session 5: Polymorphism and Queues
6. Session 6: Abstraction and Trees
7. Session 7: Interfaces and Heaps
8. Session 8: Constructors, Destructors, and Graphs
9. Session 9: Static Members, Methods, and Recursion
10. Session 10: Operator Overloading and Sorting Algorithms
11. Session 11: Exception Handling and Searching Algorithms
12. Session 12: Design Patterns – Singleton and Factory
13. Session 13: Dynamic Programming (DP) Basics
14. Session 14: Advanced Data Structures (Tries, HashMaps)
15. Session 15: Final Project and LeetCode Marathon

Detailed 15-Sessions OOP + DSA Workshop Plan

Session 1: Introduction to OOP and DSA

• Session Title: Understanding Object-Oriented Programming and Data Structures
• Topics Covered:
  • Definition of OOP and its core principles
  • Importance of DSA in problem-solving and competitive coding
  • Overview of data structures: arrays, linked lists, stacks, queues
  • Introduction to basic algorithms: searching, sorting
• LeetCode Focus:
  • Solving entry-level problems combining OOP and basic data structures.
• Example: Implement a class ArrayOps with methods to find the maximum, minimum, and sort an array.

Session 2: Classes, Objects, and Arrays

• Session Title: Mastering Classes, Objects, and Array Operations
• Topics Covered:
  • Detailed explanation of classes and objects in OOP
  • Arrays as a fundamental data structure in DSA
  • Manipulating arrays using object-oriented design
• LeetCode Focus:
  • Problems involving array manipulation through classes.
• Example: Implement a class ArrayManipulator with methods for reversing, merging, and rotating an array.

Session 3: Encapsulation and Linked Lists

• Session Title: Encapsulation and Linked Lists
• Topics Covered:
  • Definition and significance of encapsulation in OOP
  • Linked list data structure: singly linked list vs. doubly linked list
  • Inserting, deleting, and searching elements in linked lists
• LeetCode Focus:
  • Linked list manipulation problems.
• Example: Implement a LinkedList class with encapsulated methods for adding and removing nodes.

Session 4: Inheritance and Stacks

• Session Title: Leveraging Inheritance and Stacks
• Topics Covered:
  • Understanding inheritance and method overriding in OOP
  • Stack data structure: push, pop, peek operations
  • Implementing stack operations using inheritance
• LeetCode Focus:
  • Solving stack-based problems using OOP principles.
• Example: Create a CustomStack class derived from a BaseStack class to handle operations.

Session 5: Polymorphism and Queues

• Session Title: Polymorphism and Queue Implementation
• Topics Covered:
  • Method overloading and method overriding in OOP
  • Queue data structure: enqueue, dequeue, front operations
  • Implementing queues using polymorphism
• LeetCode Focus:
  • Solving queue-based problems using OOP design.
• Example: Implement a Queue class with polymorphic behavior for different types of queues.

Session 6: Abstraction and Trees

• Session Title: Abstract Classes and Tree Data Structures
• Topics Covered:
  • What is abstraction and how to apply it in OOP
  • Binary Trees and Binary Search Trees (BST)
  • Recursive tree traversal techniques: inorder, preorder, postorder
• LeetCode Focus:
  • Solving tree traversal problems.
• Example: Implement a BinaryTree class with methods for inserting nodes and performing inorder traversal.

Session 7: Interfaces and Heaps

• Session Title: Interfaces and Heap Implementation
• Topics Covered:
  • Role of interfaces in achieving full abstraction
  • Min-Heap and Max-Heap data structures
  • Implementing heaps using interfaces and encapsulation
• LeetCode Focus:
  • Solving heap-based problems.
• Example: Create a MinHeap class implementing the Heap interface with methods for insertion and extraction of minimum.

Session 8: Constructors, Destructors, and Graphs

• Session Title: Object Lifecycle and Graph Data Structures
• Topics Covered:
  • Constructors and destructors in OOP and their significance
  • Graph data structure: adjacency list, adjacency matrix
  • Graph traversal algorithms: Depth First Search (DFS) and Breadth First Search (BFS)
• LeetCode Focus:
  • Solving graph traversal problems.
• Example: Implement a Graph class to perform DFS and BFS on a directed graph.

Session 9: Static Members, Methods, and Recursion

• Session Title: Static Members and Recursion in Problem Solving
• Topics Covered:
  • Static methods and variables in OOP
  • Recursion as a problem-solving technique
  • Recursive algorithms: factorial, Fibonacci, backtracking
• LeetCode Focus:
  • Solving recursive problems using OOP classes.
• Example: Implement static methods in RecursiveProblems class to solve problems like generating Fibonacci numbers recursively.

Session 10: Operator Overloading and Sorting Algorithms

• Session Title: Operator Overloading and Efficient Sorting
• Topics Covered:
  • Operator overloading and its importance in OOP
  • Sorting algorithms: bubble sort, merge sort, quick sort
  • Implementing sorting using operator overloading in classes
• LeetCode Focus:
  • Solving sorting-based problems.
• Example: Create a Sort class with operator overloading to compare and sort custom objects.

Session 11: Exception Handling and Searching Algorithms

• Session Title: Exception Handling and Binary Search
• Topics Covered:
  • Handling exceptions in OOP (try, catch, finally)
  • Binary Search algorithm and its applications
  • Implementing binary search and handling exceptions
• LeetCode Focus:
  • Solving binary search problems.
• Example: Implement a Search class that handles invalid inputs and performs binary search.

Session 12: Design Patterns – Singleton and Factory

• Session Title: Practical Design Patterns for OOP and DSA
• Topics Covered:
  • Introduction to design patterns: Singleton, Factory
  • Using design patterns for optimizing problem solutions
  • Implementing Singleton and Factory patterns in DSA problems
• LeetCode Focus:
  • Solving real-world problems with design patterns.
• Example: Implement a Singleton class DatabaseConnection and a Factory class to create graph nodes.

Session 13: Dynamic Programming (DP) Basics

• Session Title: Introduction to Dynamic Programming (DP)
• Topics Covered:
  • What is dynamic programming and how it differs from recursion
  • Memoization and tabulation techniques
  • Solving common DP problems using OOP principles
• LeetCode Focus:
  • Solving dynamic programming problems.
• Example: Implement a DPProblems class to solve the knapsack problem and longest increasing subsequence using dynamic programming.

Session 14: Advanced Data Structures (Tries, HashMaps)

• Session Title: Mastering Advanced Data Structures
• Topics Covered:
  • Trie (Prefix Tree) and HashMap data structures
  • Trie operations: insert, search, delete
  • HashMap implementation in OOP
• LeetCode Focus:
  • Solving problems related to tries and hashing.
• Example: Implement a Trie class to perform word search and auto-completion tasks.

Session 15: Final Project and LeetCode Marathon

• Session Title: Integrating OOP and DSA – Final Project and Hackathon Preparation
• Topics Covered:
  • Comprehensive review of OOP and DSA concepts
  • Final project: Design a system using both OOP and DSA (e.g., a social network backend or e-commerce platform)
  • Hands-on practice solving complex problems using both OOP and DSA principles
• LeetCode Focus:
  • Marathon solving advanced LeetCode problems using OOP and DSA.
• Example: Create a complete Library Management System using OOP and DSA concepts, involving data structures like hashmaps and trees for storage and search.

This plan ensures that both OOP and DSA are thoroughly covered in a structured and clear manner, preparing you for competitive coding challenges on LeetCode and hackathons.