A core subject in computer science, CS304, Object-Oriented Programming (OOP), examines programming paradigms that revolve around objects and classes. This intermediate-level course offers a thorough overview of the concepts, methods, and approaches involved in object-oriented programming and software development.
The concepts of object-oriented programming, a paradigm for programming that centers software design around objects that symbolize actual entities and encapsulate information and behavior, are explored in CS304. A trip is taken by participants to investigate subjects including classes, objects, encapsulation, polymorphism, inheritance, and abstraction. Students learn about the basic ideas that underlie object-oriented programming and its uses in software engineering through theoretical lectures and practical programming tasks.
The object-oriented programming languages and frameworks, such as Java, C++, Python, and C#, that are frequently used in software development are introduced to participants in CS304. Along with learning about each language's capabilities, syntax, and libraries, participants also gain knowledge of the best practices for developing and putting into practice object-oriented software solutions. They also learn how to optimize the software development process through the use of version control systems and integrated development environments (IDEs).
Applications of object-oriented programming are examined in CS304 throughout a range of fields, including as web programming, game development, software architecture, and graphical user interface (GUI) design. In addition to learning how to apply design patterns and concepts like SOLID and design by contract to develop modular, reusable software, participants also learn how to design and implement object-oriented software solutions to solve real-world problems.
Advanced subjects in object-oriented programming, including software testing, design patterns, and concurrency, are covered in CS304. Participants gain knowledge of the difficulties and complexities involved in creating extensive object-oriented software systems, as well as how to solve them with sophisticated programming approaches and techniques.
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