Decision Table
Duration: 3 min
This video lesson is available to enrolled students.
Inside: a video lesson and guided study material.
Module outline
- About Course: About the Course
- 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
- 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
- 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
- AI, Machine Learning, Big Data & Cloud: Emerging Tech Trends, Artificial Intelligence, Big Data Systems, Approaches to AI, Search Algorithms, Knowledge Representation, Cloud Computing
- 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
- 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
- Discrete Mathematics: Set Theory, Relations, Functions, Graph Theory, Group Theory, Propositional and Predicate Logic
- 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
- 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
- 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
- Other Recurring CS Topics: Basics of Computer Graphics, 2-D Geometrical Transforms and Viewing, Multimedia
- Live Classes: ISRO Live classes
- Full Mock Test:
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
This educational video provides a comprehensive overview of decision tables, a key technique in software testing and requirements analysis. The lecture begins by defining a decision table as a visual tool for specifying actions based on given conditions. It then presents a detailed example table with two conditions: 'Employee type' (S, H, C) and 'Hours worked' (<40, 40, >40), and four possible actions: 'Pay base salary', 'Calculate hourly wage', 'Calculate overtime', and 'Produce Absence Report'. The instructor explains that each row in the table represents a unique rule, and the 'X' marks indicate which actions are triggered for a specific combination of conditions. The video emphasizes the utility of decision tables in managing complex business logic, ensuring all possible scenarios are considered, and is beneficial for both developers and testers. The presentation concludes with a 'Thanks for watching' screen.
Chapters
0:00 – 2:00 00:00-02:00
The video opens with a title card for 'SOFTWARE ENGINEERING' from '#knowledgegate'. It then transitions to a lecture slide titled 'Decision Tables'. The instructor defines a decision table as a 'brief visual representation for specifying which actions to perform depending on given conditions'. The slide includes a 'Decision Table Example' with a table structure. The table has two conditions: 'Employee type' (with values S, H, C) and 'Hours worked' (with values <40, 40, >40). The actions listed are 'Pay base salary', 'Calculate hourly wage', 'Calculate overtime', and 'Produce Absence Report'. The instructor explains that a decision table is a good way to handle different combinations of inputs and their corresponding outputs, and that it is very helpful in requirements management and test design.
2:00 – 3:20 02:00-03:20
The instructor continues to explain the decision table example. He points out that the table has six rules (columns 1-6), each representing a unique combination of conditions. He explains that the 'X' marks in the table indicate which actions are to be performed for a given rule. For instance, Rule 1 (S, <40) triggers 'Pay base salary' and 'Produce Absence Report'. He emphasizes that this method ensures all possible combinations are considered, which is crucial for complex business rules. The instructor highlights that this technique is particularly useful for developers and testers to ensure comprehensive test coverage. The video ends with a 'THANKS FOR WATCHING' screen.
The video systematically introduces the concept of decision tables as a structured method for modeling complex business logic. It begins with a clear definition and then uses a practical example to demonstrate the table's structure, including conditions, rules, and actions. The core of the lesson is the explanation of how each rule in the table corresponds to a specific scenario, with 'X' marks indicating the required actions. This approach is presented as a powerful tool for ensuring that all possible input combinations are accounted for, which is essential for robust software development and thorough testing. The synthesis of the lesson is that decision tables provide a clear, visual, and systematic way to document and validate complex decision-making processes.