Demo: What is covered in this course

Duration: 10 min

This video lesson is available to enrolled students.

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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, Algebra, Probability, Permutation and Combination, Venn Diagram, HCF LCM, Pipe and Cistern, Linear Algebra, Sequence and Series (Series), Statistics, Powers and Exponents (Surds and Indices), Arithmetic, Mensuration and Geometry, Calculus, Trigonometry, Vectors, 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, Cubes & Dices, Number System, Powers, Surds and Logarithms, Mathematical Operations, Simplification and Approximation, Percentages, Ratio and Proportion, Averages, Mixtures and Alligation, Permutations and Combinations, Profit, Loss and Discount, Sequences and Series, Vocabulary, Subject-Verb Agreement, Sentence Completion, Geometry, Reading Comprehension, Transformation of Shapes, Signal Space and Optimum Detection, Alphabet and Word Tests, Syllogisms and Venn Diagrams, Analogy and Classification, Mensuration, Constraint Puzzles, Patterns in Two-Dimensional Figures, Three-Dimensional Patterns and Visualization, Differential Calculus, Wireless, Satellite and Optical Communication Systems, Complex Analysis, Vector Analysis, Numerical Reasoning, Assembling and Grouping of Shapes, Coding and Decoding, Cubes and Dice, Series Completion, Direction Sense, Logical Deduction and Induction, Order, Ranking and Sequence, Clocks and Calendars, Critical Reasoning, Narrative Sequencing, Project Monitoring, Resources and Safety, Traverse Surveying, Algebra, Data Interpretation, Time and Work, Probability, Speed, Time and Distance, Statistics, Data Sufficiency, Trigonometry, Differential Calculus, Blood Relations, Mixture and Alligation, Speed Time and Distance, Combinatorics
  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, Registers and Counters, Boolean Algebra and Logic Gates, Microprocessors and Microcontrollers, Logic Families and CMOS Logic, Microprocessors, Logic Gates and Boolean Algebra, Number Systems and Codes, Minimization of Boolean Functions, Timing, Hazards and Testing, Logic Families, Combinational Logic Design, Arithmetic Circuits, Waveform Generators and Timer Circuits, Semiconductor Memories and Programmable Logic Devices, Combinational Logic Circuits, Sequential Circuits and State Machines, Latches and Flip-Flops, Finite State Machines, Processor Organization and Instructions, Memory Hierarchy and Input/Output, Minimization of Boolean Functions, Arithmetic Circuits, Registers and Counters, Latches and Flip-Flops, Number Systems and Codes, Semiconductor Memories and Programmable Logic
  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 a comprehensive course introduction for Speed, Time & Distance by instructor Yash Jain. The session begins with motivational content contrasting 'The Thinker' and 'The Doer' to emphasize the importance of action over mere contemplation. The instructor then outlines his academic credentials, including a Computer Science degree and GATE qualification, to establish authority. The core of the video is a detailed syllabus review covering fundamental formulas, unit conversions, average speed concepts, and specific problem types such as reaching early or late, stoppages, increasing speed to reach on time, relative speed, and train problems. The instructor uses visual cues like stars and circles to highlight high-priority topics for exam preparation.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a title slide displaying 'SPEED, TIME & DISTANCE' by Yash Jain. The instructor transitions to a conceptual illustration featuring 'The Thinker' statue and footprints leading to an empty pedestal labeled 'THE DOER'. This visual metaphor contrasts inaction with action, suggesting that thinking alone keeps one stationary while taking steps leads to progress. The instructor gestures towards the audience, setting a motivational tone for the course before moving into technical content.

  2. 2:00 – 5:00 02:00-05:00

    The instructor draws a diagram on a digital whiteboard to explain the cognitive process, labeling a box 'brain' with internal text 'Planning'. Arrows indicate a flow from the brain to an external section labeled 'Action', illustrating how planning leads to execution. Following this conceptual framework, the video transitions to an 'About the instructor' slide. This slide lists Yash Jain's qualifications, including being a Computer Science engineering graduate, a four-time university topper with an 8.37 GPA average, and GATE qualified in the first attempt with a 99 percentile score.

  3. 5:00 – 10:00 05:00-10:00

    The syllabus review begins with a slide titled 'WHAT IS COVERED IN THIS COURSE?'. The instructor highlights specific topics using visual markers. Point 1 covers basic formulas, while Point 2 addresses unit conversion between km/hr and m/s. Point 3 discusses average speed tricks, and Points 4 through 6 cover problems on reaching early/late, stoppages, and increasing speed to reach on time. The instructor circles 'Reach on time' in Point 6. He draws multiple stars next to Point 7, 'Problems on Relative Speed', indicating high importance. The list continues with Point 8, 'Problems on Trains', which is also circled and starred as a critical exam topic.

  4. 10:00 – 10:22 10:00-10:22

    The course overview concludes with the final topics listed on the slide. Point 9 covers 'Miscellaneous Concepts and Problems on Speed, Time & Distance'. The instructor emphasizes the exam relevance of these topics by marking them with stars. The video ends with a 'Thanks for Watching' screen, signaling the completion of the introductory session. The visual evidence confirms that train problems and relative speed are prioritized for student focus.

The lecture structure moves from motivational philosophy to academic credentials, and finally to a technical syllabus breakdown. The instructor uses visual hierarchy—stars for importance and circles for emphasis—to guide student attention toward high-yield exam topics like Relative Speed and Problems on Trains. The initial metaphor of 'The Thinker' versus 'The Doer' sets a pedagogical tone that values practical application, which aligns with the course's focus on solving specific problem types rather than just theoretical definitions. The syllabus covers a logical progression from basic unit conversions to complex scenarios involving trains and relative motion.

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