Insertion in Binary Search Tree

Duration: 2 min

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Module outline

  1. HPSC Interview Preparation: Interview Preparation
  2. Python Language: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis, DSA using Python
  3. Data Structure & Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Sorting Algorithms, Minimum Spanning Trees, Time Complexity Analysis, Graph Theory, Shortest Path Algos
  4. Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security
  5. Computer System & Organisation: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Programming the Basic Computer
  6. Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, SQL, File Organization & Indexing, Transaction Management, Concurrency Control
  7. Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling
  8. Digital Logic & Circuits: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  9. Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Pushdown Automata & CFG, Turing Machines, Moore & Mealy Machines
  10. Compiler Design: Intro to Compilers, Lexical Analysis, Grammar & CFG, Syntax Analysis: Top-Down, Syntax Analysis: Bottom-Up, Semantic Analysis & SDT, Intermediate Code Gen, Code Optimization, Run Time Environment
  11. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Data Warehousing & Mining
  12. Introduction to Emerging Trends: Emerging Tech Trends
  13. Digital Society & Cyber Law: Society, Law & Ethics
  14. HPSC PGT Previous Year Paper:
  15. HPSC Assistant Professor Previous Year Paper:
  16. Live Sessions: HPSC Live Sessions, EMRS TGT/PGT Live Class
  17. Full Mock Test:
  18. HPSC PGT - MOCK Test Series:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video lecture provides a concise overview of Binary Search Tree (BST) operations, focusing heavily on the insertion mechanism. It opens with a definition slide outlining the three main operations: insertion, deletion, and lookup. The content is a detailed walkthrough of a GATE 2015 problem involving tree construction. The instructor methodically constructs a BST by inserting a specific sequence of integers: 71, 65, 84, 69, 67, and 83. He explains the logic behind each placement clearly. The problem requires identifying the element residing at the lowest level. By visually drawing the tree node by node, the instructor clarifies how the sequence of insertion dictates the final shape and depth of the tree, leading to the correct identification of the deepest node.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video begins with a slide titled "Operations," listing the three primary functions: insertion, deletion, and lookup. The instructor introduces a GATE 2015 problem, asking to determine the element at the lowest level after inserting 71, 65, 84, 69, 67, and 83 into an initially empty BST. He starts the construction process by placing 71 as the root node. Following the BST property, he inserts 65 as the left child of 71 and 84 as the right child. The process continues with 69 being placed as the right child of 65. Subsequently, 67 is inserted as the left child of 69. Finally, 83 is added as the left child of 84. Throughout this process, the instructor draws the tree structure on the screen, visually demonstrating the hierarchical relationships and node placement.

  2. 2:00 – 2:22 02:00-02:22

    In the final segment, the instructor completes the analysis. He examines the levels of the tree to identify the deepest node. The tree has 71 at the root, 65 and 84 at the first level, 69 and 83 at the second level, and 67 at the third level. He points out that 67 is the only element at the lowest level (level 3) of the tree. Consequently, he circles option (B) 67 on the slide, confirming it as the correct answer to the GATE question. The video concludes with the final tree diagram and the selected option clearly displayed for the students.

The lecture transitions from theoretical definitions to practical problem-solving. Defining core operations first establishes the necessary rules. The step-by-step drawing reinforces the abstract concept of tree insertion. The final identification of the lowest level element ties the construction process back to the specific question asked, demonstrating how structural properties are derived from insertion sequences effectively. This approach ensures students grasp the "how" and "why" of BST operations effectively.

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