8.7 Practice Question

Duration: 2 min

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Module outline

  1. About Course: About the Course
  2. Paper 1 | General Studies: State Wise GK / राज्यवार सामान्य ज्ञान (GK)
  3. Paper 1 | Information and Communication Technology: Role of Internet and Web Services, Security in Mobile and Wireless Computing
  4. Paper 1 | Current Affairs: GK- Current Affairs / GK- समसामयिकी
  5. Paper 2 | Discrete Mathematical Structure: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Permutation, Combination and Probability / क्रमचय, संचय एवं प्रायिकता
  6. Paper 2 | Digital Computer Organization And Architecture: Number System, Number Representation, Sequential Circuits, Combinational Circuit, Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Register Transfer and Microoperations, Control Unit Design, Programming the Basic Computer
  7. Paper 2 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  8. Paper 2 | Programming Languages & Object-Oriented Programming Concepts: Java, OOPS with C++, Java Fundamentals, Array, String, IO & References, Generic & Collections
  9. Paper 2 | Python: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis
  10. Paper 2 | Data Structure And Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Minimum Spanning Trees, Advanced Algorithms
  11. Paper 2 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS
  12. Paper 2 | 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, Complexity Theory
  13. Paper 2 | 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
  14. Paper 2 | Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, Relational Algebra, SQL, Transaction Management, Concurrency Control, Database Recovery, Database Security & Authorization, Enhanced Data Models
  15. Paper 2 | Computer Network And Information Security: Introduction to CN, Data Communication, Application Layer, Hardware basics, Cyber Threats and Malware Attacks, Network Security, 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
  16. Paper 2 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  17. Paper 2 | Current Trends & Technologies: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Planning, Multi Agent Systems, Fuzzy Sets, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms, Data Warehousing & Mining, Electronic Data Interchange and E-Commerce
  18. Paper 2 | Full Length Mock Tests:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video segment focuses on solving a graph theory practice problem involving simple non-directed graphs. The instructor presents a question asking for the possible number of vertices in a graph with 24 edges where every vertex has an identical degree K. The core concept applied is the Handshaking Lemma, which states that the sum of all vertex degrees equals twice the number of edges. The instructor demonstrates how to translate this theorem into an algebraic equation by defining |V| = x for the number of vertices and deg(v) = K for the degree. Through this derivation, he establishes that x * K must equal 48 (since 24 edges multiplied by 2 equals 48). The solution process involves identifying that the number of vertices x must be a divisor of 48. By testing the provided multiple-choice options (20, 15, 10, and 8), the instructor eliminates values that do not divide 48 evenly. Specifically, he crosses out options a) 20, b) 15, and c) 10 because they are not factors of 48. The remaining option d) 8 is identified as the correct answer since 8 divides 48 to yield an integer degree K of 6. This exercise reinforces the relationship between edges, vertices, and regular graph properties.

Chapters

  1. 0:00 – 1:58 00:00-01:58

    The instructor introduces a graph theory problem displayed on screen asking for the possible number of vertices in a simple non-directed graph with 24 edges where every vertex has degree K. He immediately applies the Handshaking Lemma, writing '24 x 2' to represent twice the number of edges. He assigns variables |V| = x and deg(v) = K to set up the equation x * K = 48. The instructor then systematically evaluates the multiple-choice options a) 20, b) 15, c) 10, and d) 8. He crosses out options a), b), and c) because they are not divisors of 48, leaving d) 8 as the only valid solution where x * K results in an integer degree.

The video provides a concise demonstration of applying the Handshaking Lemma to determine graph properties. The central takeaway is that for a regular graph, the product of vertices and degree must equal twice the number of edges. This creates a divisibility constraint where the vertex count must be a factor of 2E. The instructor's method highlights a practical strategy for multiple-choice questions: calculate the total degree sum (2E), then check which option divides this sum evenly. This approach efficiently filters incorrect answers without needing to construct the actual graph, emphasizing algebraic verification over geometric visualization.

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