Preorder Treversal of Binary Tree

Duration: 5 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:
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  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.

This lecture introduces the concept of binary tree traversal, defining it as the process of visiting each node in a tree data structure exactly once. The instructor contrasts tree traversal with linear data structures like linked lists and arrays, noting that trees allow for multiple traversal methods. The lesson categorizes these methods into depth-first and breadth-first orders, specifically highlighting in-order, pre-order, and post-order traversals. The second half of the video focuses on pre-order traversal, detailing the Root-Left-Right (RLR) algorithm. The instructor demonstrates this using a specific binary tree example, walking through the recursive steps and writing the resulting node sequence on the board to reinforce the concept.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video begins with a slide titled 'Traversal of binary tree'. The text defines traversal as 'The process of visiting (checking and/or updating) each node in a tree data structure, exactly once'. It explains that unlike linear structures like linked lists or arrays, trees can be traversed in multiple ways. The slide lists three common depth-first traversals: in-order, pre-order, and post-order. It also mentions hybrid schemes like 'iterative deepening depth-first search'. The instructor explains that steps can be done in any order, but if Left (L) is done before Right (R), it is called left-to-right traversal.

  2. 2:00 – 5:00 02:00-05:00

    The slide changes to 'Pre-order (Root L R)'. The text lists the pre-order sequence: F, B, A, D, C, E, G, I, H. The algorithm steps are displayed: check if the current node is empty, display the data part of the root, traverse the left subtree recursively, and traverse the right subtree recursively. The instructor draws a diagram on the board showing the recursive calls, starting with P(F) branching into P(B) and P(G). He writes the final sequence 'F B A D C E G I H' in red ink at the bottom of the slide to confirm the result of the traversal.

  3. 5:00 – 5:23 05:00-05:23

    The instructor concludes the explanation of the pre-order traversal example. The slide remains visible, showing the binary tree diagram on the right and the handwritten sequence 'F B A D C E G I H' in red at the bottom. The instructor is likely summarizing the recursive nature of the process or preparing to transition to the next topic, as the visual content remains static on the pre-order slide.

The lecture progresses from a theoretical definition of tree traversal to a practical application of pre-order traversal. By contrasting trees with linear structures and listing various traversal types, the instructor sets the context. The detailed breakdown of the pre-order algorithm, supported by a visual tree diagram and handwritten board work, provides a clear, step-by-step guide for students to understand how the Root-Left-Right order is applied recursively to generate a specific node sequence.

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