🎓 DSA Lecture 13 – Trees: Terminology and Binary Tree | скачать в хорошем качестве

🎓 DSA Lecture 13 – Trees: Terminology and Binary Tree |

🎓 DSA Lecture 13 – Trees: Terminology and Binary Tree | Code2Win ⸻ 👨‍🏫 About the Instructor Kallol Bhattacharya — IT Transformational Leader | 24+ years | Formerly with TCS, Infosys, CTS, Wipro ⸻ 📚 About this Lecture Welcome to Lecture 13 of our DSA series! 🌳 In this session, we enter the world of Trees — one of the most important non-linear data structures used in databases, operating systems, compilers, and real-world hierarchical systems. This lecture focuses on Tree Terminology and Binary Trees, building the exact foundation required for BST, Heaps, AVL Trees, and advanced traversals. You’ll learn: • What is a Tree data structure • Basic Tree terminology (Root, Parent, Child, Sibling, Leaf, Internal Node) • Depth, Height, Level & Degree of a Node • Subtree and Forest concepts • What is a Binary Tree • Properties of Binary Trees • Types of Binary Trees (Full, Complete, Perfect, Skewed) • Inorder, Preorder, Postorder traversal • Expression Trees • Common exam & interview questions on Trees By the end of this lecture, you’ll clearly understand tree structure and binary tree fundamentals, which are essential for mastering advanced tree algorithms. ⸻ ⏱️ Timestamps 00:01:02 – Introduction to Trees 00:06:41 – Tree Terminology Explained 00:18:22 – Depth, Height, Level & Degree 00:26:21 – What is a Binary Tree 00:33:47 – Types of Binary Trees 00:43:57 – Relation between Node/Height/Level/Depth 01:07:24 – Traversals 01:34:59 – Expression Evaluation 01:45:04 – Tree building from pre/post/inorders 01:56:34 – Solutions to common problems ⸻ 📁 Previous Lectures in the Series 🔗 Lecture 1: Introduction to Data Structures →    • DSA Lecture 1: Introduction to Data Struct...   🔗 Lecture 2: Algorithms & Time Complexity →    • DSA Lecture 2: Algorithms & Time Complexit...   🔗 Lecture 3: Time & Space Complexity →    • DSA Lecture 3: Time & Space Complexity | #...   🔗 Lecture 4: Asymptotic Notation →    • 🎓 DSA Lecture 4 – Asymptotic Notation (Big...   🔗 Lecture 5: Linear & Binary Search →    • 🎓 DSA Lecture 5 – Linear & Binary Search E...  E 🔗 Lecture 6: Stacks Explained →    • 🎓 DSA Lecture 6 – Stacks Explained | #MAKA...   🔗 Lecture 7: Infix & Postfix Expressions →    • 🎓 DSA Lecture 7 – Infix & Postfix Explaine...   🔗 Lecture 8: Tower of Hanoi →    • 🎓 DSA Lecture 8 – Tower of Hanoi Explained...   🔗 Lecture 9: Linear & Circular Queue →    • 🎓 DSA Lecture 9 – Linear & Circular Queue ...   🔗 Lecture 10: Dequeue & Priority Queue →    • 🎓 DSA Lecture 10 –Dequeue and Priority Que...   🔗 Lecture 11: Singly Linked List →    • 🎓 DSA Lecture 11 – Linked List Explained |...   🔗 Lecture 12: Doubly & Circular Linked List →    • 🎓 DSA Lecture 12 – Double and Circular Lin...   ⸻ 🎯 Who Should Watch? ✔️ B.Tech / BCA / B.Sc CS students ✔️ 2nd & 3rd-year learners ✔️ DSA beginners & intermediates ✔️ Interview & placement aspirants ⸻ 📄 Lecture Slides 📥 Download Lecture 13 PPT here: https://l1nk.dev/RWWoW ⸻ 🚀 Learn DSA the Smart Way At Code2Win, we simplify complex data structures like Trees with clean visuals, real-world analogies, and step-by-step coding — making you exam-ready and interview-confident. ⸻ 👉 Subscribe for More ✅ Beginner-friendly coding tutorials ✅ Core CS concepts ✅ Placement-focused problem solving 🔔 Don’t forget to Like, Share & Subscribe for the complete DSA series! ⸻ 🔍 Keywords & SEO Tags (Optimized) #DSA #Trees #BinaryTree #TreeTerminology #DataStructures #CodingInterview #Code2Win #LearnToCode #Makaut #DSAMakaut #DSALecture #BTech #ComputerScience #CProgramming #Cpp ⸻ 📩 Stay Connected 📸 LinkedIn: /kallolbhattacharya 🐦 Telegram: t.me/Letscode2win 📺 WhatsApp Group: https://chat.whatsapp.com/HuCYM23aUSi...