Encapsulation in Object-Oriented System Design Using C++(lecture-4)

Encapsulation is one of the fundamental principles of object-oriented programming (OOP) and plays a crucial role in system design. It involves bundling the data (attributes) and the methods (functions) that operate on that data into a single unit or class, while also controlling access to the data. In C++, encapsulation helps create well-structured, maintainable, and […]

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Understanding Object Identity in System Design Using C++(lecture-2)

In object-oriented programming (OOP), and especially in C++, the idea of object identity is about recognizing that each object in your program is unique, even if it has the same data as another object. This concept is important when you’re designing systems, as it affects how you manage, compare, and interact with different objects. What

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The Meaning of Object Orientation in System Design Using C++( lecture-1)

The Meaning of Object Orientation Object orientation (OO) is a programming approach that helps us design software by modeling real-world entities as objects. In simpler terms, it’s like organizing your code to mimic things in the real world, making it easier to understand, manage, and extend. When designing systems using C++, an object-oriented programming language,

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Design and Analysis algorithms(lecture-2) DAA

Unit 1: Introduction to Algorithms  Lecture 1: Introduction to Algorithm – Definition, Characteristics, and Properties What is an Algorithm? Characteristics of an Algorithms Examples Algorithm +Data structure = Programming Algorithms – An algorithm is a step-by-step procedure or set of rules to be followed in calculations or problem-solving operations. Algorithms are fundamental in computer science,

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Design and Analysis algorithms(Lecture-3) DAA

Lecture 2: Fundamentals of Algorithm Design: Problem-Solving Methods The fundamentals of algorithm design involve various problem-solving methods that help in designing efficient algorithms. These methods provide structured approaches to break down complex problems into manageable pieces, guiding the algorithm designer toward optimal solutions. Key Problem-Solving Methods in Algorithm Design: Divide and Conquer Greedy Method Dynamic

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