Data Structures and Algorithms

In this module, you'll delve into fundamental data structures in Java, including Arrays, ArrayLists, LinkedLists, Stacks, and Queues. You'll start by understanding the basics of Arrays, focusing on their efficiency and limitations. Then, you'll explore ArrayLists and LinkedLists to learn how these dynamic data structures offer flexibility in managing collections of data. You'll also cover Stacks and Queues, mastering their use in scenarios that require Last-In-First-Out (LIFO) and First-In-First-Out (FIFO) operations, respectively. This module equips you with essential skills to effectively implement and utilize these data structures in real-world applications.

In this module, you'll explore advanced algorithms in Java, focusing on efficient data management and retrieval techniques. You'll begin with HashMap, TreeMap, and LinkedHashMap, learning how these structures optimize data storage and access. Then, you'll dive into searching algorithms, mastering both Linear and Binary Search for quick data retrieval. The module also covers a range of sorting algorithms, including Bubble, Insertion, and Selection Sort, as well as more advanced techniques like Merge Sort and Quick Sort. This module equips you with the skills to implement and optimize algorithms for enhanced application performance.

In this module, you'll explore essential software testing practices, covering both manual and automated testing. You'll begin with the fundamentals of software testing, understanding its importance in ensuring code quality. Next, you'll dive into version control with Git and GitHub, learning how to manage and collaborate on code efficiently. The module also covers JUnit Testing, where you'll gain hands-on experience writing and executing test cases in Java. Finally, you'll delve into Test-Driven Development (TDD), mastering the approach of writing tests before code to ensure robust and maintainable software development.

In this module, you'll apply your knowledge of data structures and algorithms to a small project, allowing you to solve real-world problems efficiently. You'll start by selecting appropriate data structures like Arrays, LinkedLists, or HashMaps for the project's requirements. As you progress, you'll implement algorithms for tasks such as searching, sorting, and managing data flows. The project will challenge you to optimize your solutions for performance and scalability, reinforcing your understanding of how to integrate data structures and algorithms into practical applications. This hands-on experience will solidify your skills in developing efficient and effective code.