Abstraction in Object-Oriented Programming (OOP) and System Design(lecture-5)

Introduction Abstraction is one of the four fundamental pillars of Object-Oriented Programming (OOP), along with encapsulation, inheritance, and polymorphism. It allows software developers to model complex systems by focusing on the essential details while hiding the unnecessary ones. In system design, abstraction is crucial as it helps break down complex problems into smaller, manageable components. […]

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Understanding Polymorphism in Object-Oriented System Design Using C++(lecture-6)

Introduction Polymorphism is one of the four core principles of Object-Oriented Programming (OOP), alongside inheritance, encapsulation, and abstraction. The term polymorphism comes from the Greek words “poly” (many) and “morph” (form), meaning the ability to take many forms. In the context of Object-Oriented System Design (OOSD), polymorphism allows objects to be treated as instances of

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Understanding Inheritance in Object-Oriented System Design Using C++(lecture-7)

Introduction In object-oriented programming (OOP), inheritance is a fundamental concept that enables code reuse, modularity, and a hierarchical relationship among classes. It allows a class to derive properties and behaviors (methods) from another class, promoting reusability and scalability in large software systems. This blog will explore inheritance in C++, its types, and how it is

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Understanding Classes and Objects in Object-Oriented System Design Using C++(lecture-3)

Introduction Object-Oriented Programming (OOP) is a paradigm that has revolutionized software development by organizing code around real-world entities. At the core of this paradigm lie two fundamental concepts: classes and objects. These concepts form the building blocks of Object-Oriented System Design (OOSD) and are crucial for writing efficient, reusable, and modular code in C++. In

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Lesson plan according to AKTU Lucknow(lecture-1) DAA

Lesson Plan- 5th Semester(2024-25) Design and analysis of Algorithms Here’s a comprehensive 40-lecture lesson plan for the “Design and Analysis of Algorithms” course based on typical Computer Science Engineering syllabi, tailored to match the AKTU guidelines. Each lecture can be 1 hour long, and the course is structured into units with topics divided across them.

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