Estimation Model

Duration: 4 min

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Inside: a video lesson and guided study material.

Module outline

  1. HPSC Interview Preparation: Interview Preparation
  2. Python Language: Introduction to Python, Tokens, Variables, Data Types, I/O, Operators & Expressions, Control Flow & Looping, Collections & Strings, Functions & Modules, File Handling & Data Analysis, DSA using Python
  3. Data Structure & Algorithms: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing, Algorithm Analysis, Sorting Algorithms, Minimum Spanning Trees, Time Complexity Analysis, Graph Theory, Shortest Path Algos
  4. Computer Networks: Introduction to CN, Data Communication, DLL: Access Control, DLL: Flow Control, Data Link Layer - Ethernet, Net Layer: IPv4 & Proto, Net Layer: IP Addressing, Transport Layer Services, TL: Congestion & UDP, Application Layer, Hardware basics, Network Security
  5. Computer System & Organisation: Basics of COA, Cache Memory Organization, Input Output Organisation, Pipelining, Instr Formats & Modes, Control Unit Design, Programming the Basic Computer
  6. Database Management System: Basics of DBMS, ER Diagram, Relational Model & Functional Dependencies, Keys & Integrity Constraints, Normalization (1NF - BCNF), Decomposition Properties & 4NF, SQL, File Organization & Indexing, Transaction Management, Concurrency Control
  7. Operating Systems: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Deadlock, Threads & Process Creation, Memory Management, Virtual Memory, Disc Scheduling
  8. Digital Logic & Circuits: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
  9. Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Pushdown Automata & CFG, Turing Machines, Moore & Mealy Machines
  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, Run Time Environment
  11. Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management, Data Warehousing & Mining
  12. Introduction to Emerging Trends: Emerging Tech Trends
  13. Digital Society & Cyber Law: Society, Law & Ethics
  14. HPSC PGT Previous Year Paper:
  15. HPSC Assistant Professor Previous Year Paper:
  16. Live Sessions: HPSC Live Sessions, EMRS TGT/PGT Live Class
  17. Full Mock Test:
  18. HPSC PGT - MOCK Test Series:
AI summary & chapters

AI Summary

An AI-generated summary of this video lecture.

The video is an educational lecture on software engineering estimation models, presented by Sanchit Jain from Knowledge Gate. The lecture begins by introducing the concept of estimation in software development, focusing on two primary metrics: time and cost. It then categorizes estimation into four main types: Post estimation, Base estimation, Decomposition, and Empirical model. The presentation transitions to a specific type, 'Post / Delayed estimation', explaining that this approach is used when dealing with a friendly party and known technology, where the time and cost are not estimated because the cost is expected to be supported in every situation. The video concludes with a 'Thanks for watching' screen.

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 'Estimation model'. The slide states that the goal is to estimate time and cost of development. It lists four types of estimation: Post estimation, Base estimation, Decomposition, and Empirical model. A speaker, identified as Sanchit Jain, is visible in a small window, speaking into a microphone. The on-screen text clearly lists the four estimation types, and the speaker's voice explains the concept of estimation in software development.

  2. 2:00 – 3:34 02:00-03:34

    The slide changes to 'Post / Delayed estimation'. The text explains that in the case of a friendly party and known technology, neither time nor cost is estimated because the cost will be supported in every situation. The speaker elaborates on this concept, emphasizing that the relationship with the client and the familiarity with the technology eliminate the need for formal estimation. The on-screen text is clearly visible, and the speaker's voice provides the explanation. The video ends with a final screen that says 'THANKS FOR WATCHING'.

The lecture provides a structured overview of software estimation, starting with a general introduction to the concept and its two key components, time and cost. It then systematically presents four distinct estimation models, with the first being 'Post / Delayed estimation', which is explained as a scenario where estimation is unnecessary due to a pre-existing supportive relationship and technological familiarity. The progression moves from a broad classification to a specific, practical example, illustrating a real-world application of estimation principles.

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