Binary Search Trees in C: Core Operations and Implementation

Understanding how to manage and manipulate complex data structures is essential for efficient programming. The Binary Search Tree (BST) is a cornerstone data structure used widely in computer science for fast retrieval and ordering. This course provides a hands-on, text-based guide to building and manipulating BSTs from scratch in C. By the end, you will be able to confidently implement essential operations, manage memory, and analyze the performance characteristics of your tree structures. What you'll learn: * Understand the definitions, structure, and fundamental properties of Binary Search Trees (BSTs). * Practice implementing core BST functions, including insertion, search, minimum, and maximum value retrieval in C. * Apply techniques for calculating tree metrics such as size, height, and node depth. * Master crucial memory allocation and deallocation strategies for dynamic nodes in C to prevent leaks. * Analyze the time complexity (Big O notation) of various BST operations to predict performance. The content begins by establishing foundational terminology and node structure before moving into practical implementation of traversal methods and utility functions. You will then apply these concepts through structured coding exercises designed to reinforce efficient programming practices. This course is designed for absolute beginners familiar with basic C syntax who want to learn foundational data structures. No prior experience with trees or advanced algorithms is required. Start reading today and build a solid foundation in efficient data organization.