Beginner Topic 15 of 52 Data Structures
Binary Trees
Trees where each node has at most two children.
How it works
In a binary tree each node has at most two children, called left and right. Shapes range from perfectly balanced, with height about log n, to degenerate chains with height n. Special forms include full, complete and perfect trees, and the complete form can be stored compactly in an array using index arithmetic.
Where it is used
Expression trees, binary search trees, heaps, Huffman coding trees and decision structures use binary trees. Their regular shape makes recursion and traversal algorithms simple.
Common pitfall
Operations depend on height, so unbalanced inputs can make everything O(n). Null child checks are a common source of bugs. Confusing the different meanings of full, complete and balanced causes miscommunication. Use self-balancing variants when worst-case guarantees matter.
Where it fits in the course
Binary Trees is topic 15 of 52 in Data Structures, rated Beginner. It follows Trees. The next topic is Tree Traversals.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Data Structures quiz.
- Explore the Binary Search Tree visualizer: Insert keys and run traversals.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Data Structures quiz, and revisit the topic if you miss a question.
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Related topics
- Trees (Data Structures)
- Tree Traversals (Data Structures)
- Open Addressing (Data Structures)
- Binary Search Trees (Data Structures)
- Binary Number System (Computer Architecture & Logic)
- Binary Search (Algorithms)
- Decision Trees (AI & Machine Learning)