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📂 Full description All good software starts with a great design. Object-oriented design helps developers plan applications before they write a single line of code, and break down ideas into reusable and maintainable components. This course focuses on the foundational concepts, teaching them in a fun, interactive way to help you quickly develop your skills. Tag team Olivia and Barron Stone introduce you to the concepts and terms—objects, classes, abstraction, inheritance, and more—that you need to get started. They then show how to take the requirements for an app, identify use cases, and map out classes using Universal Modeling Language (UML). The final design can then be translated into code using one of the many popular object-oriented programming languages, such as Java, C#, Ruby, or Python.

🔅 Programming Foundations: Object-Oriented Design 🌐 Author: Olivia Chiu Stone 🔰 Level: Beginner ⏰ Duration: 3h 41m

🌀 Good software starts with great design. Get a fun and fresh introduction to object-oriented design and analysis—from defining requirements to diagramming classes.

📗 Topics: Software Design Patterns, Object-Oriented Programming 📤 Join The Coding Space for more courses

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💡 How to Ace System Design Interviews Like a Boss? Follow this 7-step process to do well in a System Design Round 1 - Requirements Clarification In the first step, clarify functional and non-functional requirements. Ask questions to understand the core features of the system as well as non-functional aspects such as data volume, availability, scale, etc. 2 - Capacity Estimation Next, estimate the capacity of the system. Focus on attributes like the number of users, traffic, storage/memory needs, and compute and networking requirements. 3 - Create High-Level Design Break down the system into components such as client apps, servers, load balancers, databases, etc. Start with drawing a simple block diagram that shows these components and their potential interaction with each other. Focus on the data flow. 4 - Database Design Model the data and choose the right database type for the system. Once done, focus on the database schema. 5 - Interface Design Next, focus on the interfaces to the system. This could be API endpoints or event models exchanged between the various components of the system. Also, choose a communication approach such as REST, GraphQL, gRPC, or an event-driven 6 - Scalability and Performance Address the scalability, performance, and latency aspects of the system by suggesting techniques that will be used. For example, vertical and horizontal scaling, caching, indexing, denormalizing, sharding, replication, CDNs, etc. 7 - Reliability and Resiliency Lastly, address the reliability and resiliency of the design. Identify single points of failure and mitigate their impact.

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