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Foundation 102: Object Oriented Programming with Python

This advanced programming course teaches object-oriented programming through the development of interactive space-themed applications. Students learn to think in terms of objects, classes, and systems rather than simple procedures, preparing them for professional software development and advanced computer science concepts. By course completion, students will have built sophisticated simulations demonstrating mastery of encapsulation, inheritance, polymorphism, and system design.


What makes this course special: Object-oriented programming can be abstract and difficult to grasp—students often struggle to understand why they need classes when functions seem sufficient. This course makes OOP concrete and intuitive by building interactive systems where students can see their objects come to life, interact with each other, and demonstrate sophisticated behaviors through inheritance and polymorphism. The space academy theme provides perfect metaphors for understanding object relationships and system architecture.

Your Learning Journey

Starting with simple classes and objects, you'll progressively master encapsulation, inheritance, and polymorphism while building increasingly sophisticated interactive systems. Through projects like spacecraft simulations, fleet management systems, and space station operations, you develop both the technical skills and design thinking that characterize professional software engineering.


Each lesson introduces OOP concepts through hands-on development where abstract principles become concrete through working code. You'll learn to design class hierarchies, implement inheritance structures, and create polymorphic systems that demonstrate the power and elegance of object-oriented design. The progression moves from single-class programs to complex multi-class systems with dozens of interacting objects.


Perfect for: Students who have completed CS-101-INTRO or equivalent Python programming experience including variables, functions, loops, and conditionals.


Duration: 1 semester (12-16 sessions, adjustable)  

Credits: 0.5 Computer Science Credit

Why This Course Matters

  • Real-World Applications

    Game Development: Entities, components, game state management.

    Business Software: Customer, order, inventory, and transaction systems.

    Mobile Apps: View controllers, data models, service layers.

    Web Applications: User accounts, content management, e-commerce systems.

    Simulation Software: Physics engines, agent-based models, virtual environments.

    Robotics: Sensor objects, actuator controllers, behavior systems.

    Scientific Computing: Experiment objects, data structures, analysis pipelines.

  • OOP Powers Modern Software

    Industry Standard: Most professional software uses OOP (Java, C++, Python, C#, Swift).

    Scalability: OOP enables building large systems that remain manageable.

    Code Reuse: Inheritance and composition reduce redundancy and improve maintenance.

    Modeling Reality: Objects naturally represent real-world entities and their relationships.

    Framework Foundation: Understanding OOP is essential for using modern frameworks and libraries.

  • Cognitive Development

    Abstract Thinking: Recognize patterns and create generalizations.

    Systems Design: Plan architecture before implementation.

    Complexity Management: Break large problems into manageable, interacting components.

    Relationships Building: Understand hierarchies, compositions, and interactions.

    Solutions Refinement: Iterate on designs to improve structure and elegance.

  • Preparation for Advanced Studies

    AP Computer Science A: Java-based OOP curriculum.

    University CS Programs: Where OOP is foundational to most courses.

    Software Engineering: Professional development practices and patterns.

    Game Development: Where entity systems rely heavily on OOP.

    AI and Machine Learning: Where frameworks are built on OOP principles.

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Course curriculum