Practice Question
Duration: 2 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
Module outline
- About Course: About the Course
- Paper-2 | Programming & Data Structures: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
- Paper-2 | Databases / DBMS & SQL: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, SQL, Relational Calculus, Transaction Management, Concurrency Control
- Paper-2 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos
- Paper-2 | Computer Networks & Security: 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, Hardware Basics, Network Access Technologies, Network Security
- Paper-2 | Digital Logic: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, Floating Point Rep
- Paper-2 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management
- 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
- Paper-2 | Computer Organization & Architecture: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Programming the Basic Computer
- 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
- Paper-1 | General Awareness: Polity, Physics, Biology, Chemistry, Static General Knowledge, GK- Current Affairs, History, Geography, Indian Economy, Environment
- Paper-1 | Logical Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Data Interpretation, Blood Relations, Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Clock, Calendar, Cubes & Dices, Directions (Direction Test), Analogy, Seating Arrangements, Analytical Reasoning (Counting Figures Reasoning)
- Paper-1 | Quantitative Aptitude: Ratio and Proportion (Ratios), Mixture and Alligation, Permutation and Combination, Number System, HCF LCM, Speed Time and Distance, Average, Age Problems, Percentage, Profit and Loss, Time and Work, Pipe and Cistern, Simple Interest and Compound Interest, Powers and Exponents (Surds and Indices), Mensuration and Geometry, Probability, Statistics, Arithmetic, Algebra
- Paper-1 | English: Vocabulary, Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Sentence Construction, Cloze Test (Cloze Passage)
- Coal India Previous Year Paper:
- Engineering Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic, Linear Algebra, Calculus
- Coal India Mock Test:
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
This educational video segment presents a graph theory practice problem focused on counting simple non-isomorphic graphs. The instructor addresses the specific question: 'How many simple non isomorphic graphs are possible with 4 vertices and 2 edges?' The session begins by explicitly defining the problem parameters on the whiteboard, writing |V| = 4 to denote four vertices and |E| = 2 for two edges. The instructor then systematically constructs possible graph configurations to determine the count of unique structures.
Chapters
0:00 – 1:53 00:00-01:53
The instructor introduces a graph theory problem asking for the number of simple non-isomorphic graphs with 4 vertices and 2 edges. He begins by defining the parameters, writing |V| = 4 for vertices and |E| = 2 for edges. He then starts drawing the first possible configuration by connecting two vertices, labeled 'a' and 'b', while leaving others isolated. Subsequently, he draws two distinct configurations: one where the edges share a common vertex (forming a path of length 2) and another where the edges are disjoint (two separate edges). He briefly sketches a third possibility with crossing edges but indicates it is isomorphic to the disjoint case, effectively ruling it out as a unique non-isomorphic graph. The handwritten notes indicate the parameters |V|=4 (vertices) and |E|=2 (edges). Three distinct graph diagrams are drawn to show possible non-isomorphic structures.
The core concept taught is the identification of non-isomorphic graphs based on connectivity and edge arrangement. The instructor demonstrates that graph isomorphism depends on structural equivalence rather than visual layout, as shown when a crossing edge configuration was dismissed as equivalent to the disjoint case. Key evidence includes the explicit definition of parameters |V| = 4 and |E| = 2, alongside the visual construction of a path P3 (connected edges) and two disjoint edges. The lesson emphasizes that simple graphs with identical vertex and edge counts can have multiple non-isomorphic forms, requiring systematic enumeration to find the total count.