Classes, objects, inheritance, polymorphism, and design patterns
← Back to Computer ScienceUnderstand the fundamental principles and advantages of object-oriented programming.
Learn to define classes as blueprints and create objects as instances.
Master object initialization and cleanup through special methods.
Implement data hiding and controlled access to object internals.
Understand class hierarchies and code reuse through inheritance.
Customize inherited behavior through method overriding.
Achieve dynamic behavior through polymorphic method calls.
Define contracts and enforce implementation through abstraction.
Build complex objects through composition and understand object relationships.
Provide multiple method signatures for flexible method calls.
Understand class-level members and methods shared across instances.
Handle errors gracefully in object-oriented programs.
Apply proven solutions to common object-oriented design problems.
Master advanced OOP concepts and clean code principles.
Understand the fundamental principles and advantages of object-oriented programming.
Programming paradigm based on objects that contain data and code, modeling real-world entities.
Compare function-based programming with object-based programming approaches and their trade-offs.
Overview of encapsulation, inheritance, polymorphism, and abstraction as foundational concepts.
Code reusability, modularity, maintainability, and scalability advantages of object-oriented design.
Map real-world entities to software objects, understand abstraction and representation.
Learn essential vocabulary: objects, classes, methods, attributes, instances, and more.
Survey of Java, C++, Python, C#, and other object-oriented programming languages.
Identify scenarios where object-oriented programming is most beneficial and appropriate.
Learn to define classes as blueprints and create objects as instances.
Write class declarations with proper syntax, understand class as a template for objects.
Create object instances from classes, allocate memory, and initialize object state.
Define data members that store object state, understand instance and class attributes.
Implement functions within classes that define object behavior and operations.
Distinguish between per-object data and shared class-level data storage.
Understand object references, identity comparison, and equality testing.
Track objects from creation through usage to destruction and garbage collection.
Understand heap allocation, reference counting, and automatic memory management.
Master object initialization and cleanup through special methods.
Special methods called during object creation to initialize object state properly.
No-parameter constructors that provide default initialization for objects.
Constructors that accept arguments to customize object initialization during creation.
Multiple constructors with different parameter signatures for flexible object creation.
Create new objects as copies of existing objects, handle deep vs shallow copying.
Cleanup methods called when objects are destroyed to release resources.
Properly manage memory, file handles, and other resources through constructor/destructor pairs.
Call one constructor from another to avoid code duplication and ensure consistent initialization.
Implement data hiding and controlled access to object internals.
Hide internal implementation details while exposing only necessary public interfaces.
Control visibility with private, public, and protected access levels for class members.
Provide controlled access to private data through accessor and mutator methods.
Use language features like @property to create Pythonic getter/setter implementations.
Separate what a class does from how it does it, enable implementation changes.
Create clean, minimal public interfaces that hide complexity and promote ease of use.
Maintainability, debugging ease, and code organization advantages of proper encapsulation.
Guidelines for effective encapsulation: minimize public interface, validate inputs, maintain invariants.