Object Oriented Programming & System Design
in High Performance ComputingAbout this course
This course teaches you to think in objects and design systems strategically. Through practical projects and real-world examples, you’ll dive deep into core OOP principles—encapsulation, inheritance, and polymorphism—and explore design patterns and scalable system design techniques. Our approach challenges you to ask, “How could I have devised this solution myself?” and develops a deep, intuitive understanding of modern software architectures.
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Definition and role of objects
Real-world analogy: Objects as tangible items
Basic properties and methods
Defining classes in code
Relationship between classes and objects
Benefits of code reusability
Role of constructors in object creation
Best practices for initialization
Overloaded constructors
Difference between instance and class-level properties
When to use static methods
Real-world examples of shared resources
Creation, usage, and destruction of objects
Managing resources in object lifecycles
Review a real-world system (e.g., a library system)
Analyze how objects model complex entities
Defining encapsulation
Benefits of hiding data
Examples from everyday objects
Private vs. public members
Access modifiers and data security
Understanding abstraction in programming
Separating interface from implementation
Creating abstract classes and interfaces
Real-world analogy: Simplified user interfaces
How these principles work together
Benefits for system maintenance and scalability
Review a system design case study
Discuss how encapsulation and abstraction were applied
Definition and benefits of inheritance
Real-world analogy: Family hierarchies
Code examples of class extension
Overriding methods
Concept of polymorphism and dynamic method binding
Techniques to override methods
Case studies showing runtime polymorphism
Defining abstract classes and interfaces
Their role in achieving polymorphism
Analyze a real-world system where inheritance and polymorphism drive flexibility
Overview of SOLID principles
Why they matter in software design
How SRP improves code quality
Discussing OCP and LSP with examples
Exploring ISP and DIP in modern design
Introduction to patterns like Singleton, Factory, and Observer
Case studies illustrating design patterns in enterprise software
Key concepts in scalability and performance
Compare monolithic, microservices, and event-driven architectures
Strategies for fault tolerance and high availability
Techniques for optimizing system performance
Analysis of a real-world system design (e.g., a high-traffic web application)
Hands-on session to sketch a scalable system architecture
Introduce a comprehensive project problem statement and requirements
Outline a step-by-step plan for the project
Begin project development with iterative feedback
Continue project development with focus on integration
Test, review, and optimize your project solution
Analyze real-world projects and discuss emerging trends in system design
