What is Covered in this Course

Duration: 12 min

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Inside: a video lesson and guided study material.

Module outline

  1. About Course: About the Course
  2. General Aptitude & Reasoning: Number System, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Simple Interest and Compound Interest, Time and Work, Speed Time and Distance, Mixture and Alligation, Data Interpretation, Algebra, Probability, Permutation and Combination, Venn Diagram, HCF LCM, Divisibility Rules, Age Problems, Pipe and Cistern, Partnership, Linear Algebra, Sequence and Series (Series), Statistics, Powers and Exponents (Surds and Indices), Arithmetic, Mensuration and Geometry, Calculus, Trigonometry, Vectors, Speed Mathematics and Basic Mathematics, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analogy, Series (Number and Letter Series) (Numerical Relations and Reasoning), Puzzle Solving (Puzzles), Syllogisms, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Calendar, Seating Arrangements, Coding Decoding, Blood Relations, Directions (Direction Test), Clock, Analytical Reasoning (Counting Figures Reasoning), Ranking, Order and Sequence, Logical Sequence Of Words, Inequality, Data Sufficiency, Cubes & Dices
  3. Computer Networks & Cybersecurity: 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
  4. Programming, Data Structures & Algorithms: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling, OOPS with C++, Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Greedy Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
  5. AI, Machine Learning, Big Data & Cloud: Emerging Tech Trends, Artificial Intelligence, Big Data Systems, Approaches to AI, Search Algorithms, Knowledge Representation, Cloud Computing
  6. Digital Logic & Computer Organization: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation, 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. TOC & Compiler: 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, 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
  8. Discrete Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic
  9. Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management, Unix OS, Linux OS, Distributed Systems
  10. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Object Oriented Technology, HTML Basics, JavaScript-Basics, Java, XML
  11. 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, Database Recovery, Data Warehousing & Mining, Enhanced Data Models, NoSQL
  12. Other Recurring CS Topics: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, Multimedia
  13. Live Classes: ISRO Live classes
  14. Full Mock Test:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

This educational video serves as an introduction to a comprehensive course on Percentages, led by instructor Yash Jain. The lecture begins with a motivational segment emphasizing the power of 'sankalpa' (intention) and the role of knowledge in strengthening the mind. Following this introduction, the instructor systematically outlines the entire course syllabus. The curriculum covers fundamental concepts, shortcuts for calculating various percentages (including 10%, 11%, and multiples of 12.5%), techniques for successive percentages, and specific problem-solving strategies for votes and word problems. The video concludes with a final overview of miscellaneous concepts and a thank you message to the viewers.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a title slide featuring the word 'PERCENTAGE' in bold black text against a white background with falling blue dice marked with percentage symbols. It transitions to a clean, geometric white slide titled 'PERCENTAGES - By Yash Jain'. The instructor, Yash Jain, appears in a small window in the bottom right corner. He introduces a motivational slide with the heading 'Strength lies in the power of your sankalpa (intention)'. The text explains that the mind is full of 'sankalpa' and 'vikalpa' (imagination, fancy) and that every work is done through sankalpa. He notes that even the act of moving one's arm is preceded by sankalpa in the mind.

  2. 2:00 – 5:00 02:00-05:00

    The instructor continues to elaborate on the motivational text displayed on the screen. He underlines the words 'sankalpa' and 'vikalpa' in red ink to emphasize their importance. He explains that the sankalpa of a weak mind is ineffective. The slide states, 'We can make our mind strong by knowledge. Then the sankalpa will also be strong.' The instructor gestures with his hands while speaking, reinforcing the connection between mental strength, knowledge, and the ability to achieve goals through intention. This section serves as a psychological preparation for the students before diving into the mathematical content.

  3. 5:00 – 10:00 05:00-10:00

    The lecture transitions to the course curriculum with a slide titled 'WHAT IS COVERED IN THIS COURSE?'. The instructor lists the first 12 topics. These include: 1. Basic Concepts of Percentages, 2. Percentages as Fractions, 3. Shifting of Decimal Trick to find Percentages, 4. Short trick to find 10%, 20%, 30%...90% of any number, 5. Short trick to find 11% of any number, 6. Short trick to find percentage of any random number using 10% & 1%, 7. Use of vertical and crosswise pattern to find percentages, 8. Finding Decimal Percentages, 9. Concept of Successive Percentages, 10. Short Trick to find net percentage increase/decrease, 11. Short Trick to find two percentages of same given number, and 12. Few Important Results on Percentages. He uses a red pen to check off or circle items as he discusses them, highlighting the practical shortcuts included in the course.

  4. 10:00 – 12:21 10:00-12:21

    The syllabus overview continues with topics 13 through 18. The instructor lists: 13. Percentage Problems on Votes, 14. Word Problems on Percentages, 15. Short Trick to find percentages above 100%, 16. Short Trick to find 105%, 115%, 125%...195% of any number, 17. Short Trick to find percentages in multiples of 12.5%, and 18. Miscellaneous Concepts & Problems on Percentages. He circles 'Word Problems on Percentages' and writes '133%' and '147%' in red ink, likely referring to common fractional percentages. The video concludes with a black slide displaying 'THANKYOU FOR WATCHING' in orange and white text, signaling the end of the introductory session.

The video provides a structured roadmap for learning percentages, blending motivational psychology with mathematical strategy. It establishes the mental framework of 'sankalpa' before detailing a robust syllabus that moves from basic concepts to advanced shortcuts. The course promises to cover essential calculation techniques, such as finding percentages of 11% or multiples of 12.5%, and applying them to complex scenarios like successive percentage changes and word problems. This introduction effectively sets expectations for a comprehensive guide to mastering percentage calculations efficiently.

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