Practice Question - Cyclomatic Complexity

Duration: 2 min

This video lesson is available to enrolled students.

Return to /learn/AMCAT-PREPARATION/software-engineering/software-design-estimation-and-metrics/software-metrics-and-complexity/asset-practice-question-cyclomatic-complexity after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. Quantitative Ability: Percentage, Profit and Loss, Ratio and Proportion (Ratios), Average, Time and Work, Speed Time and Distance, Simple Interest and Compound Interest, Age Problems, Number System, Divisibility Rules, HCF LCM, Algebra, Permutation and Combination, Probability, Data Interpretation, Logarithm, Sequence and Series (Series), Powers and Exponents (Surds and Indices), Speed Mathematics and Basic Mathematics
  2. Logical Reasoning: Seating Arrangements, Puzzle Solving (Puzzles), Data Arrangement, Coding Decoding, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Data Sufficiency, Venn Diagram, Inequality, Series (Number and Letter Series) (Numerical Relations and Reasoning), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Selection Decision Table (Decision Making), Analogy, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning)
  3. Verbal Ability: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Subject Verb Agreement (Verb Noun Agreement), Tenses, Articles, Preposition, Conjunction, Modals, Active Passive Voice (Voice), Direct and Indirect Speech, Vocabulary, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Completion (Fill in the blanks), Sentence Correction (Error Correction), Cloze Test (Cloze Passage), Facts, Inference and Judgements
  4. Programming Fundamentals (Technical): C Fundamentals
  5. Data Structures (Technical): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  6. Algorithms (Technical): Algorithm Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Time Complexity Analysis, Advanced Algorithms
  7. OOPs (Technical): Object Oriented Programming (OOPS)
  8. DBMS (Technical): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, File Organization & Indexing, Relational Algebra, Relational Calculus, Transaction Management, Concurrency Control, Database Recovery, ORDBMS, Database Security & Authorization, Query Processing & Optimization, Enhanced Data Models, Data Warehousing & Mining, Big Data Systems, NoSQL
  9. SQL (Technical): SQL
  10. Operating Systems (Technical): Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Windows OS, Linux OS, Security, Distributed Systems, Virtual Machines
  11. Computer Networks (Technical): 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 Security, Cloud Computing and IoT, Cyber and Info Security
  12. Software Engineering (Technical): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  13. Coding/Automata Round: Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir, Pseudo Codes
  14. Personality / Behavioral Assessment: Behavioral Assessment (Behavioral Competency Profiling) (Psychometric Test)
  15. Writing Assessment: English Writing Ability
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video is an educational lecture on software engineering, presented by Sanchit Jain from Knowledge Gate Eduventures. The core of the lecture involves analyzing a directed graph, which appears to represent a system or process with 11 nodes labeled 1 through 11. The instructor uses a whiteboard to demonstrate a step-by-step calculation, writing the equation '1+4+1+2' and then '3+2=5' to illustrate a concept, likely related to path analysis or cost calculation within the graph. The visual content transitions from a title screen to the lecture, showing the instructor in a picture-in-picture window while the main screen displays the graph and his annotations. The video concludes with a 'Thanks for Watching' screen, indicating the end of the lesson.

Chapters

  1. 0:00 – 1:32 00:00-01:32

    The video begins with a title card for 'SOFTWARE ENGINEERING' and the '#knowledgegate' hashtag. It then transitions to a lecture where the instructor, Sanchit Jain, is seen in a small window on the right. The main screen displays a complex directed graph with 11 nodes. The instructor explains a problem, and on the graph, he writes the calculation '1+4+1+2' and then '3+2=5', indicating a step-by-step solution process. The diagram is later redrawn with red nodes and edges, and the instructor continues to annotate it with numbers like '1', '2', '3', '4', '5', '6', and '7', suggesting a pathfinding or cost analysis. The video ends with a 'THANKS FOR WATCHING' screen.

The video presents a structured educational lesson on a software engineering topic, likely graph theory, using a directed graph as a central example. The instructor guides the viewer through a problem-solving process, using on-screen annotations to demonstrate a calculation method. The progression from a general title to a specific, annotated diagram, and finally to a conclusion, follows a clear pedagogical flow designed to teach a specific analytical technique.

Loading lesson…