Facilitated application Software Technique (FAST)

Duration: 4 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.

The video is an educational lecture on the FAST (facilitated application specification creation technique) in software engineering. It begins with an introduction to the FAST technique, which emphasizes collaboration between customers and developers to create a joint team. The core of the lecture explains the process of gathering requirements by having everyone prepare a list of what surrounds the system, what the system produces, and what it uses. This is followed by a list of services, constraints, and performance criteria. The final step is to divide these comprehensive lists into smaller, manageable lists for work in smaller teams. The instructor, Sanchit Jain, is visible in a small window throughout the presentation, which is branded with the Knowledge Gate logo and a copyright notice. 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 displaying 'SOFTWARE ENGINEERING' and '#knowledgegate' against a dark, abstract background. It then transitions to a presentation slide titled 'FAST (facilitated application specification creation technique)'. The slide outlines the core principles of the technique: encouraging a joint team of customer and developer, having everyone prepare a list to understand the correct set of requirements, and listing what surrounds the system, what is produced by the system, and what is used by the system. The instructor, Sanchit Jain, is visible in a small window in the bottom right corner, wearing a black and red polo shirt with the 'Knowledge Gate Educator' logo. A copyright notice for 'KNOWLEDGE GATE EDUVENTURES' is displayed at the bottom of the screen. The instructor begins to explain the FAST technique, emphasizing the collaborative nature of the process.

  2. 2:00 – 4:23 02:00-04:23

    The instructor continues to explain the FAST technique, elaborating on the list of requirements. The slide now includes a bulleted list of items to be considered: 'What surrounds the system', 'Produced by the system', 'Used by the system', 'List of service, constraints, and performance criterion'. The instructor verbally adds that the list should also include 'what is used by the system'. He then explains that after creating these comprehensive lists, they are divided into smaller lists to be worked on by smaller teams. The on-screen text remains static throughout this segment, with the instructor's voiceover providing the detailed explanation. The video concludes with a final screen that says 'THANKS FOR WATCHING' and '#knowledgegate'.

The video provides a clear and structured explanation of the FAST technique, a collaborative approach to software requirements gathering. It progresses from the initial concept of a joint customer-developer team to the practical steps of creating detailed requirement lists, and finally to the division of work. The consistent visual of the slide and the instructor's narration effectively convey the methodology, making it a useful resource for understanding this specific software engineering practice.

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