Tree Terminologies in DSA | Root, Leaf, Height, Depth, and Degree Explained

Master the vocabulary of trees! In this Data Structures and Algorithms (DSA) tutorial, we explain the essential terminologies you need for coding interviews and exams.
We cover everything from the basic node-edge relationship to complex concepts like the "n-1" rule and the precise difference between a node's height and its depth. By the end of this video, you'll be able to identify root nodes, leaf nodes, internal nodes, and calculate the degree of any tree.
What’s Inside:
✅ Nodes & Edges (The n-1 Edge Rule).
✅ Identifying the Root Node.
✅ Parent, Child, and Sibling relationships.
✅ Leaf Nodes vs. Internal Nodes.
✅ Calculating the Degree of a Node.
✅ Levels, Height, and Depth (The Upward/Downward Rule).
✅ Paths and Sub-trees.
📍 Timestamps:
00:00 - Introduction to Tree Terminologies
00:25 - Nodes and Edges (The n-1 Rule)
02:03 - The Root Node: The Entry Point
03:45 - Parent, Child, and Siblings
06:29 - Leaf (Terminal) Nodes vs. Internal Nodes
09:36 - What is the Degree of a Node?
12:01 - Understanding Levels (Level 0, 1, 2...)
13:20 - Height vs. Depth: The Ultimate Trick to Remember
17:34 - Defining Paths and Sub-trees
19:07 - Summary and Conclusion
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