Practice Question-2 (BFS)

Duration: 2 min

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Module outline

  1. About the course: About the Course
  2. Mathematical Aptitude: Number System, HCF LCM, Divisibility Rules, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Time and Work, Mensuration and Geometry, Simple Interest and Compound Interest, Speed Time and Distance, Age Problems, Mixture and Alligation, Algebra, Powers and Exponents (Surds and Indices), Pipe and Cistern, Trigonometry, Statistics, Data Interpretation, Arithmetic
  3. Logical Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Analogy, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Seating Arrangements, Syllogisms, Venn Diagram, Puzzle Solving (Puzzles), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Analytical Reasoning (Counting Figures Reasoning), Cubes & Dices, Calendar, Clock
  4. General Knowledge: Physics, Chemistry, Biology, History, Geography, Polity, Indian Economy, GK- Current Affairs, Static General Knowledge
  5. Art of Teaching: Nature, Objectives & Characteristics of Teaching, Learners & Learning Process, Factors Affecting Teaching, Methods of Teaching, Classroom Management & Communication, Teaching-Learning Aids & ICT Integration, Evaluation, Assessment & Measurement, Professional Development & Ethics, Policies, Acts & Contemporary Issues, Curriculum & School Environment, Guidance, Counselling & Mental Health, Inclusive Education & Special Needs, Micro-Teaching & Teaching Skills, Lesson Planning
  6. Environmental Science: Environment
  7. Unit 1 | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  8. Unit 2 | COA: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Programming the Basic Computer
  9. Unit 3 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  10. Unit 3 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  11. Unit 4 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  12. Unit 5 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management
  13. Unit 6 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Transaction Management, Concurrency Control
  14. Unit 7 | Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, DLL: Framing, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Net Layer:Routing Protocol, Transport Layer Services, TL: Congestion & UDP, Application Layer
  15. Unit 8 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  16. Unit 9 | Object Oriented Programming: OOPS with C++
  17. Unit 10 | Web Development: HTML Basics, CSS, JavaScript-Basics, XML
  18. Unit 11 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines
  19. Unit 12 | IoT: Emerging Tech Trends, Cloud Computing
  20. Unit 13 | Artificial Intelligence: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms
  21. Unit 14 | E-Commerce: Electronic Data Interchange and E-Commerce, Role of Internet and Web Services, Security in Mobile and Wireless Computing, Physical Security and Cryptography Basics, Cyber Safety and Security
  22. Unit 15 | Multimedia: Multimedia
  23. Unit 16 | Python: 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
  24. Full Length Mock Tests — General Paper:
  25. Full Length Mock Tests — Computer Science (Paper II):
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video segment addresses a GATE-2017 multiple-choice question on Breadth First Search (BFS) traversal. The problem requires identifying a valid node visiting order for a specific graph using a queue data structure. Four options are presented: MNOPQR, NQMPOR, QMNROP, and POQNMR. The instructor systematically evaluates each sequence against the graph's connectivity rules inherent to BFS, which mandates layer-by-layer exploration. By analyzing adjacency and queue behavior, the instructor eliminates incorrect options (a, b, c) based on violations of traversal logic. The session concludes by validating option (d), POQNMR, as the correct sequence that satisfies the BFS constraints for the given graph structure.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video introduces a GATE-2017 problem asking for a possible BFS visiting order using a queue. Visible text displays the question: 'Which one of the following is a possible order of visiting the nodes in the graph above?' alongside options (a) MNOPQR, (b) NQMPOR, (c) QMNROP, and (d) POQNMR. The instructor begins analyzing the graph structure involving nodes M, N, O, P, Q, R. Evidence includes on-screen text highlighting 'Breath First Search (BFS) has been implemented using queue data structure' and the specific graph nodes listed. The instructor focuses on checking adjacency list orders to verify if sequences respect BFS layer-by-layer traversal properties.

  2. 2:00 – 2:17 02:00-02:17

    In the final segment, the instructor completes the evaluation of the BFS options. The visible evidence shows the instructor crossing out incorrect answers (a, b, and c) while validating option (d). The text on screen confirms the graph nodes M, N, Q, R, O, P. The instructor selects option (d) POQNMR as the correct answer because it aligns with queue-based traversal logic. This conclusion is drawn from eliminating impossible node sequences that violate the connectivity rules of the provided graph.

The lecture segment effectively demonstrates the application of Breadth First Search (BFS) traversal logic through a specific GATE-2017 examination problem. The core concept tested is the strict adherence to queue-based, layer-by-layer node visitation in graph theory. The instructor's method involves verifying each multiple-choice option against the graph's adjacency constraints, ensuring that neighbors are visited before their children. By systematically eliminating options (a), (b), and (c) due to logical inconsistencies with the graph structure, the instructor isolates option (d), POQNMR, as the only valid sequence. This approach reinforces the importance of understanding queue mechanics in BFS algorithms for solving traversal problems.

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