Basic Concepts

Duration: 6 min

This video lesson is available to enrolled students.

Return to /learn/ZERO-TO-HERO/aptitude/time-and-work/basic-concepts-of-work-efficiency/asset-basic-concepts-8001 after enrolling

Inside: a video lesson and guided study material.

Module outline

  1. 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, Relational Calculus, Transaction Management, Concurrency Control
  2. Discrete Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic
  3. Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  4. Computer Architecture: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design
  5. Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Virtual Memory, Disc Scheduling, File Management, Memory Management, Threads & Process Creation
  6. Computer Networks: Introduction to CN, 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, Network Security, Hardware Basics
  7. Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  8. Algorithms: Algorithm Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Time Complexity Analysis
  9. 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
  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
  11. C language: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums
  12. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  13. Emerging Trends & AI: Emerging Tech Trends, Artificial Intelligence
  14. Computer Graphics: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing
  15. Aptitude: Percentage, Ratio and Proportion (Ratios), Logarithm, HCF LCM, Divisibility Rules, Average, Sequence and Series (Series), Number System, Powers and Exponents (Surds and Indices), Algebra, Permutation and Combination, Probability, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Pipe and Cistern, Speed Time and Distance, Mixture and Alligation, Mensuration and Geometry, Mental Ability, Age Problems, Partnership, Statistics, Data Interpretation, Arithmetic, Speed Mathematics and Basic Mathematics, TCS NQT Advanced Quantitative Ability, Gamified / Game Based Aptitude, Linear Algebra, Trigonometry
  16. Reasoning: Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Seating Arrangements, Blood Relations, Directions (Direction Test), Analytical Reasoning (Counting Figures Reasoning), Puzzle Solving (Puzzles), Calendar, Clock, Cubes & Dices, Selection Decision Table (Decision Making), Logical Sequence Of Words, Crypt Arithmetic, Venn Diagram, Data Arrangement, Inequality, Analogy, Ranking, Order and Sequence, TCS NQT Advanced Reasoning Ability
  17. English (Verbal Ability): Vocabulary, Noun, Pronoun, Adjectives, Preposition, Articles, Direct and Indirect Speech, Tenses, Conjunction, Subject Verb Agreement (Verb Noun Agreement), Modals, Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Cloze Test (Cloze Passage), Verbal Analogy (Word Based Analogy), Sentence Construction, Active Passive Voice (Voice), Determiner, Facts, Inference and Judgements, Adverb, Interjection, Verb, English Writing Ability
  18. Engineering Mathematics: Calculus, Vectors
  19. GATE Live Class Recordings 2026: GATE 2026 Live Class
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video presents a structured lesson on solving time and work problems, a common topic in quantitative aptitude. The instructor begins by introducing the fundamental concept that the total work is considered as 1 unit or 100%. The first problem demonstrates that if a person completes 25% of the work in one day, they will take 4 days to complete the entire task, which is calculated as 100% / 25% = 4 days. The second problem involves a two-person scenario where Modi Ji completes 4/5 of the work, and Kejriwal Ji completes the remainder. The solution is found by subtracting the completed portion from the total: 1 - 4/5 = 1/5. The video then establishes two key assumptions for solving such problems: work done per day is constant, and total work is 1 unit. Finally, it applies the formula Total Work = Efficiency × Number of Persons × Number of Days, using the example of a person making 5 chairs per day to calculate the total output for one person over 6 days (30 chairs) and for 10 people over 6 days (300 chairs). The lesson concludes with a summary of the core formula and its components.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a title card for 'TIME & WORK' and transitions to a lecture. The instructor, Yash Jain Sir, presents the first problem: 'Person 'A' can do 25% work in one day. In how many days 'A' can complete the work?'. He explains that the total work is 100%, and since the person completes 25% per day, the number of days required is 100% / 25% = 4 days. He writes '25% 25% 25% 25%' and 'total: 4 days' on the screen to illustrate the calculation.

  2. 2:00 – 5:00 02:00-05:00

    The instructor moves to the second problem: 'Modi Ji completes 4/5 of work and left. Kejriwal Ji joins and completes the remaining work, what part of the work was completed by Kejriwal Ji?'. He writes the equation 4/5 + x = 1, where x is the part completed by Kejriwal Ji. He solves for x, showing that x = 1 - 4/5 = 1/5. The video then presents two 'Basic Assumptions': 1. Amount of work done by a person should be equal on all days. 2. Total amount of work is considered as 1 unit or 100%. An example is given: '100 chairs in 5 days'. The instructor then introduces the formula for total work: Total Work = Efficiency × Number of Persons × Number of Days, and applies it to two scenarios: (i) one person making 5 chairs per day for 6 days, resulting in 30 chairs, and (ii) 10 people making 5 chairs per day for 6 days, resulting in 300 chairs.

  3. 5:00 – 5:37 05:00-05:37

    The video concludes with a final slide that displays the formula 'Total Work = Efficiency * Number of Persons * Number of Days' and a list of definitions for the variables: Work, Men, Efficiency, and Time. The screen then transitions to a blue, abstract background with the text 'THANKS FOR WATCHING' in white, marking the end of the lesson.

The video provides a clear, step-by-step tutorial on solving time and work problems. It begins with a simple, intuitive example to establish the core concept of dividing total work by daily work rate. It then progresses to a more complex problem involving fractions and the concept of remaining work. The lesson is structured around two fundamental assumptions that form the basis for all calculations. The final segment consolidates the learning by introducing a universal formula, 'Total Work = Efficiency × Number of Persons × Number of Days', and demonstrates its application with concrete examples, effectively teaching students a systematic approach to this type of quantitative problem.

Loading lesson…