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This repository contains my 2nd semester Java practice work, covering Object-Oriented Programming (OOP) and Data Structures & Algorithms (DSA) courses. The two subjects are maintained separately for clarity and organization.

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Academic practice repository for Java Object-Oriented Programming and Data Structures & Algorithms


📘 Java Archive – Academic Practice Repository

This repository contains my 2nd semester Java practice work, developed as part of two separate undergraduate courses:

  • Object-Oriented Programming (OOP) using Java
  • Data Structures and Algorithms (DSA) using Java

The repository serves as an academic archive of practice programs, lab work, and concept implementations completed throughout the semester.


🎓 Academic Context

  • Language: Java
  • Semester: Second Semester
  • Level: Undergraduate
  • Purpose: Academic learning, hands-on practice, and concept reinforcement

The primary goal of this repository is to strengthen core Java programming skills while building a solid foundation in object-oriented design principles and algorithmic problem solving.


🧠 Courses Covered

🔹 Object-Oriented Programming (Java)

This section focuses on applying object-oriented principles using Java, with emphasis on clean design and conceptual clarity.

Key concepts include:

  • Classes and Objects
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Abstraction
  • Constructors and Method Overloading
  • Interfaces and Abstract Classes
  • Exception Handling
  • Packages and Access Modifiers

🔹 Data Structures & Algorithms (Java)

This section focuses on implementing and understanding fundamental data structures and algorithms using Java.

Key topics include:

  • Arrays and Strings
  • Recursion
  • Searching Algorithms
  • Sorting Algorithms
  • Stack and Queue implementations
  • Linked Lists
  • Basic algorithmic problem solving
  • Time and space complexity (introductory level)

🎯 Learning Objectives

Through this repository and coursework, I aim to:

  • Develop a strong understanding of Java syntax and semantics
  • Apply OOP principles to real programming problems
  • Implement fundamental data structures from scratch
  • Improve logical thinking and problem-solving skills
  • Write readable, modular, and maintainable Java code

🛠️ Tools & Environment

  • Java (JDK 17+)
  • IDE: IntelliJ IDEA / VS Code (or equivalent)
  • Platform: Linux / Windows
  • Version Control: Git & GitHub

📌 Notes

  • This repository is intended for academic practice only.
  • Code is written with a focus on learning and clarity, not production optimization.
  • The repository will be continuously updated as the semester progresses.
  • Structure and content may evolve as new topics are introduced.

📜 License

This project is licensed under the MIT License.

Copyright (c) 2026
Krish Singh


📌 This repository represents my academic journey in learning Java during the second semester.

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This repository contains my 2nd semester Java practice work, covering Object-Oriented Programming (OOP) and Data Structures & Algorithms (DSA) courses. The two subjects are maintained separately for clarity and organization.

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