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-# Modular Programming
-
-## 1. Introduction
-
-- A. What is Object-Oriented Programming?
-- B. Why use OOP? (vs. procedural)
-- C. Real-world analogies (e.g., modeling components like pumps, motors, or vehicles)
-
----
-## 2. Core OOP Concepts
-- A. **Classes and Objects**
-    - Definitions
-    - Syntax in Python
-- B. **Attributes and Methods**
-    - Instance variables
-    - Functions inside classes
-- C. **Encapsulation**
-    - Public vs private variables
-    - Using `__init__` and `self`
-- D. **Inheritance**
-    - Parent and child classes
-    - Reuse and extension of code
-- E. **Polymorphism** _(brief overview)_
-    - Method overriding
-    - Flexibility in interfaces
-
----
-## 3. Python OOP Syntax and Examples
-- A. Define a simple class (e.g., `Spring`)
-- B. Instantiate objects and use methods
-- C. Show `__init__`, `__str__`, custom methods
-- D. Add a derived class (e.g., `DampedSpring` inherits from `Spring`)
-
----
-## 4. Engineering Applications of OOP
-- A. Modeling a mechanical system using classes
-    - Example: Mass-Spring-Damper system
-- B. Creating reusable components (e.g., `Material`, `Beam`, `Force`)
-- C. Organizing simulation code with OOP
-
----
-## 5. Hands-On Coding Activity
-- A. Write a class for a basic physical component (e.g., `Motor`)
-- B. Add behavior (e.g., `calculate_torque`)
-- C. Extend with inheritance (e.g., `ServoMotor`)
-- D. Bonus: Integrate two objects to simulate interaction
-