A binary tree is a hierarchical data structure in computer science that consists of nodes connected by edges. Each node in a binary tree has at most two children, referred to as the left child and the right child. The topmost node in a binary tree is called the root. Here are some key terms and concepts associated with binary trees: Root: The topmost node in the tree, from which all other nodes are descended. Node: A fundamental unit of a binary tree that contains data and may have zero, one, or two children nodes. Parent: A node in the tree that has one or more child nodes. Child: Nodes that are descendants of a parent node. In a binary tree, a node can have at most two children. Leaf: A node in the tree that has no children, i.e., it is at the bottom of the tree. Subtree: A tree formed by a node and its descendants. Height: The length of the longest path from the root to a leaf. The height of an empty tree is typically defined as -1. Depth: The length of the path from the root to a particular node. Binary trees are commonly used in various applications, such as expression trees, binary search trees, and Huffman coding trees. They provide an efficient way to organize and search data, and their recursive nature makes them well-suited for certain algorithms and data manipulations. Understanding binary trees is fundamental to many aspects of computer science and programming.