Basic Concepts

Duration: 6 min

This video lesson is available to enrolled students.

Return to /learn/RSSB-SENIOR-COMPUTER-INSTRUCTOR/paper-1-basic-numeracy/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. About the Course: About the Course
  2. Paper-1 & 2 | Basic Numeracy: Ratio and Proportion (Ratios), Divisibility Rules, Mixture and Alligation, Permutation and Combination, Logarithm, Number System, HCF LCM, Sequence and Series (Series), Speed Time and Distance, Percentage, Average, Mensuration and Geometry, Age Problems, Arithmetic, Statistics, Probability, Profit and Loss, Simple Interest and Compound Interest, Partnership, Speed Mathematics and Basic Mathematics, Algebra, Powers and Exponents (Surds and Indices), Time and Work, Pipe and Cistern, RSSB Specific Videos - Basic Numeracy
  3. Paper-1 & 2 | Data Interpretation: Data Interpretation
  4. Paper-1 & 2 | General Mental Ability: Mental Ability, RSSB Specific Videos - Mental Ability
  5. Paper-1 & 2 | Logical Reasoning and Analytical Ability: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Data Sufficiency, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Syllogisms, Seating Arrangements, Blood Relations, Directions (Direction Test), Analytical Reasoning (Counting Figures Reasoning), Puzzle Solving (Puzzles), Calendar, Clock, Cubes & Dices, Venn Diagram, Analogy, Ranking, Order and Sequence, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Data Arrangement, Logical Sequence Of Words, Crypt Arithmetic
  6. Paper-1 & 2 | Decision Making and Problem Solving: Selection Decision Table (Decision Making)
  7. Paper-1 | General Science: Physics, Biology, Chemistry, RSSB Specific Videos
  8. Paper-1 | General Awareness: State Wise GK, GK- Current Affairs
  9. Paper-2 | Fundamentals of Computer: Basics of COA, Number System, Floating Point Rep, Number Representation
  10. Paper - 2 | Digital Logic Systems: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits
  11. Paper-2 | Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling, File Management, Linux OS, Distributed Systems
  12. 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, Relational Calculus, File Organization & Indexing, Transaction Management, Concurrency Control
  13. Paper-2 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  14. Paper-2 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
  15. Paper 2 | Oops, C++, Java: Language Design, OOPS with C++, Java, .Net Programming, Java Fundamentals
  16. 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
  17. Paper 2 | Emerging Trends and AI: Emerging Tech Trends, Artificial Intelligence
  18. Paper-2 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Advanced Algorithms
  19. Paper 2 | Data Communication and Network Security: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, DLL: Error Control, 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, Ethical Hacking
  20. Paper-2 I Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  21. Paper-2 | Computer Organization and Architecture: Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations
  22. Paper-2 | Web Development: JavaScript-Basics, HTML Basics, CSS, XML
  23. Pedagogy: Child Development, Concept of Pedagogy, Psychology, Theories, Inclusive Education, Experiential Pedagogy, Curriculum Framework & Reforms, National Education Policy (NEP) 2020
  24. Live Sessions: RSSB Live Sessions
  25. RSSB Paper 1 - Full Mock Tests:
  26. RSSB Paper 2 - Full Mock Tests:
  27. SCI Previous Year Papers:
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…