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In this module, we will explore searching algorithms, starting with linear and binary search. You'll learn about the intricacies of binary search, its complexity, and how to implement it iteratively and recursively. By the end, you鈥檒l have the skills to integrate these searching techniques into practical applications.

In this module, we will focus on elementary sorting algorithms, including bubble sort, selection sort, and insertion sort. You'll gain hands-on experience implementing these algorithms and analyzing their performance. By the end of this module, you'll understand the foundational concepts of sorting and how to optimize these techniques.

In this module, we will delve into advanced sorting algorithms, such as quick sort and merge sort. You will learn their complexities, practical implementations, and scenarios where they excel. By mastering these techniques, you will be able to handle large datasets efficiently.

In this module, we will explore the algorithms for traversing binary trees, covering depth-first search and breadth-first search. Through step-by-step implementations, you'll learn how to navigate tree structures effectively and analyze their complexities. By the end, you'll be proficient in tree traversal techniques for data structure problems.

In this module, we will cover graph traversal algorithms, focusing on breadth-first search (BFS) and depth-first search (DFS). You鈥檒l learn how to implement these algorithms, visualize their operations, and analyze their efficiencies. By the end, you鈥檒l be equipped to apply graph traversals in complex data structures.