Foundations of Object-Oriented Modeling, Data Structures, and Algorithms

Writing software that works is one thing; writing software that is scalable, organized, and highly efficient is another. To level up as a developer, you must understand how data is structured, how algorithms are evaluated, and how systems are modeled. This text-based course guides you through the fundamental pillars of computer science. You will transition from writing basic scripts to designing robust, object-oriented systems and analyzing code performance with confidence. What you'll learn: - Understand foundational object-oriented modeling concepts, including classes, inheritance, and clean design principles. - Analyze algorithm efficiency using Big O notation to measure time and space complexity. - Implement and manipulate key data structures such as linked lists, stacks, queues, and trees. - Master recursion to solve complex programming problems by breaking them into simpler sub-problems. - Apply modern design patterns and type safety concepts to ensure your code is maintainable. - Practice evaluating trade-offs between different data structures for real-world scenarios. You will start with the core terminology of object-oriented design and algorithm analysis. From there, you will progress through step-by-step written explanations and code examples, exploring recursive thinking and essential data structures. This course is designed for beginner programmers, self-taught developers, and computer science students looking to solidify their theoretical and practical coding foundations. No prior advanced math or computer science background is required. Start reading today to build a deeper, more professional understanding of software engineering.