Base Estimation

Duration: 2 min

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Inside: a video lesson and guided study material.

Module outline

  1. English Comprehension/Verbal Ability: Comprehension / Reading Comprehension / Unseen Passages (Critical Reasoning) (Paragraph Questions), Vocabulary, Sentence Correction (Error Correction), Sentence Completion (Fill in the blanks), Sentence Re-arrangements (Para Jumbles) (Narrative Sequencing), Subject Verb Agreement (Verb Noun Agreement), Tenses, Verb, Articles, Preposition, Conjunction, Pronoun, Noun, Adjectives, Adverb, Modals, Cloze Test (Cloze Passage), Active Passive Voice (Voice), Direct and Indirect Speech, Sentence Construction
  2. Logical Ability: Coding Decoding, Directions (Direction Test), Analogy, Inequality, Data Sufficiency, Series (Number and Letter Series) (Numerical Relations and Reasoning), Syllogisms, Seating Arrangements, Puzzle Solving (Puzzles), Blood Relations, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Ranking, Order and Sequence, Logical Sequence Of Words, Data Arrangement, Venn Diagram, Calendar, Clock
  3. Quantitative Ability: Logarithm, Permutation and Combination, Probability, Profit and Loss, Speed Time and Distance, Mixture and Alligation, Partnership, Simple Interest and Compound Interest, Percentage, Ratio and Proportion (Ratios), Average, Time and Work, Pipe and Cistern, Number System, Divisibility Rules, HCF LCM, Algebra, Powers and Exponents (Surds and Indices), Mensuration and Geometry, Age Problems, Data Interpretation, Sequence and Series (Series)
  4. Basic Analytical Ability: Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Analytical Reasoning (Counting Figures Reasoning), Cubes & Dices, Selection Decision Table (Decision Making)
  5. Computer Programming: Pseudo Codes, Coding Questions by Yash Sir, C Programming by Yash Sir, Programming in C++, Java, Python for Placements by Yash Sir
  6. DBMS (Computer Science): Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Transaction Management, Concurrency Control, Database Security & Authorization
  7. SQL (Computer Science): SQL
  8. OS (Computer Science): Introduction to OS, Process Management, CPU Scheduling, Deadlock, Process Synchronization, Threads & Process Creation, Memory Management, Virtual Memory, File Management
  9. Computer Networks (Computer Science): 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
  10. Data Structures (Computer Science): Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
  11. OOPs (Computer Science): Object Oriented Programming (OOPS)
  12. Software Engineering (Computer Science): Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
  13. SVAR Conversational - Spoken English: Communication Assessment
  14. HR Interview: MR & HR Interview Preparation
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video is an educational lecture on software engineering, specifically focusing on the concept of 'Base estimation'. The presentation begins with a title card for 'SOFTWARE ENGINEERING' and '#knowledgegate'. The main content is a slide titled 'Base estimation' which defines the term as a method to predict the cost and time of an entire project based on experience from previous projects. The instructor, Sanchit Jain, is visible in a small window, speaking into a microphone and explaining the concept. The video concludes with a 'THANKS FOR WATCHING' screen. The entire presentation is copyrighted content from Knowledge Gate Eduventures.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The video opens with a title card for 'SOFTWARE ENGINEERING' and '#knowledgegate'. It then transitions to a presentation slide titled 'Base estimation'. The slide contains a bullet point defining the concept: 'In base estimation we predict the cost and time of the entire project based on the experience which we have gained from the previous projects.' The instructor, Sanchit Jain, is visible in a small window in the bottom right, speaking into a microphone. A watermark at the bottom of the screen states, 'THIS IS A COPYRIGHTED CONTENT OF KNOWLEDGE GATE EDUVENTURES.' The instructor's voice explains the definition provided on the slide, emphasizing that this method relies on historical data from past projects to forecast future project timelines and budgets.

  2. 2:00 – 2:14 02:00-02:14

    The video concludes with a final screen displaying the text 'THANKS FOR WATCHING' in large, white capital letters against a dark, abstract background with blue and gold digital lines. Below this, the hashtag '#knowledgegate' is visible. This screen serves as an outro, signaling the end of the lecture on base estimation.

The video provides a concise, lecture-style explanation of 'Base estimation' in software engineering. It begins with a title card, moves to a slide that defines the concept as a predictive method using past project experience, and features an instructor explaining the definition. The lesson is self-contained, focusing solely on this one estimation technique. The video concludes with a standard 'Thanks for watching' message, indicating the end of the educational segment.

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