oop
Why?
Object Oriented Programming is a fundamental paradigm in modern software development that enables creating robust, maintainable, and scalable applications. For data scientists, OOP skills are essential for developing production-ready data pipelines, creating reusable components, & collaborating effectively with software engineering teams. Understanding OOP concepts helps structure complex systems in an intuitive way that mirrors real-world relationships.
What?
This course teaches the principles and practices of Object-Oriented Programming using Java. You will learn how to design and implement classes, understand inheritance hierarchies, apply polymorphism, handle exceptions, and work with interfaces. The course bridges theoretical OOP concepts with practical implementation, preparing students to create well-structured, modular applications
Curriculum:
Introduction to OOP
Overview of object-oriented programming principles, benefits of OOP, comparison with procedural programming, and introduction to key OOP concepts including objects, classes, encapsulation, inheritance, and polymorphism.
Java Programming
Introduction to Java syntax, data types, control structures, and basic I/O operations. Focus on Java as an object-oriented language, its environment, compilation process, and execution model.
Creating Classes
Designing and implementing classes in Java, including properties, methods, constructors, access modifiers, encapsulation principles, and object instantiation. Understanding the 'this' keyword and static members.
Relationships Between Classes
Exploring various class relationships including association, aggregation, composition, and dependency. Implementing these relationships in code and understanding when to use each type.
Inheritance
Understanding inheritance as a mechanism for code reuse, implementing parent-child class relationships, method overriding, using the 'super' keyword, and applying inheritance to create class hierarchies.
Polymorphism
Implementing polymorphic behavior through method overriding and interfaces, understanding dynamic binding, and applying polymorphism to write flexible and extensible code.
Exception Handling
Working with Java's exception handling mechanism, including try-catch blocks, throwing exceptions, creating custom exceptions, and implementing proper error handling strategies in OOP applications.
Abstract Classes
Understanding and implementing abstract classes and methods, recognizing when to use abstraction, and exploring the differences between abstract classes and concrete classes.
Interfaces
Defining and implementing interfaces, understanding multiple interface inheritance, comparing interfaces with abstract classes, and applying interfaces to achieve loosely coupled designs.
Notes
Make sure you get a good grasp of Java because you have a Data structures course next semester, which will be super hard if you are not well familiar with java syntax. Probably you won't feel the use and benefit of OOP until you need it in a project, so try to find one. Then, you will get why this 'paradigm' is important & makes sense.
