1.3 Representation of Algorithm
Duration: 4 min
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- About the course: About the Course
- Mathematical Aptitude: Number System, HCF LCM, Divisibility Rules, Percentage, Ratio and Proportion (Ratios), Average, Profit and Loss, Time and Work, Mensuration and Geometry, Simple Interest and Compound Interest, Speed Time and Distance, Age Problems, Mixture and Alligation, Algebra, Powers and Exponents (Surds and Indices), Pipe and Cistern, Trigonometry, Statistics, Data Interpretation, Arithmetic
- Logical Reasoning: Series (Number and Letter Series) (Numerical Relations and Reasoning), Coding Decoding, Analogy, Blood Relations, Directions (Direction Test), Ranking, Order and Sequence, Non Verbal Reasoning (Spatial Aptitude) (Spatial Reasoning) (Visual Reasoning), Seating Arrangements, Syllogisms, Venn Diagram, Puzzle Solving (Puzzles), Logical Sequence Of Words, Deductive and Inductive Reasoning (Logical Deduction and Induction) (Prepositional Reasoning), Analytical Reasoning (Counting Figures Reasoning), Cubes & Dices, Calendar, Clock
- General Knowledge: Physics, Chemistry, Biology, History, Geography, Polity, Indian Economy, GK- Current Affairs, Static General Knowledge
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- Environmental Science: Environment
- Unit 1 | Digital Electronics: Digital Systems & Boolean Basics, Logic Gates & Hardware, Boolean Expression, Boolean Minimization, Combinational Circuit, Sequential Circuits, Number System, Number Representation
- Unit 2 | COA: Basics of COA, Floating Point Rep, Cache Memory Organization, Input Output Organisation, Instr Formats & Modes, Control Unit Design, Register Transfer and Microoperations, Programming the Basic Computer
- Unit 3 | C Programming: C Fundamentals, Control Flow, Functions, Arrays & Pointers, Storage Classes, Structures & Enums, DMA, Macros, Scoping & File Handling
- Unit 3 | Data Structures: Introduction to DS, Array, Stack, Queue, Linked List, Tree, Graphs, Hashing
- Unit 4 | Algorithms: Algorithm Analysis, Time Complexity Analysis, Sorting Algorithms, Dynamic Programming, Minimum Spanning Trees, Shortest Path Algos, Advanced Algorithms
- Unit 5 | Operating System: Introduction to OS, Process Management, CPU Scheduling, Process Synchronization, Threads & Process Creation, Deadlock, Memory Management, Virtual Memory, Disc Scheduling, File Management
- Unit 6 | 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, Transaction Management, Concurrency Control
- Unit 7 | Computer Networks: 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
- Unit 8 | Software Engineering: Fundamentals of Software Engineering, Software Requirements and Quality Assurance, Software Design, Estimation and Metrics, Software Testing, Software Maintenance and Configuration Management
- Unit 9 | Object Oriented Programming: OOPS with C++
- Unit 10 | Web Development: HTML Basics, CSS, JavaScript-Basics, XML
- Unit 11 | Theory Of Computation: Introduction to TOC, Deterministic FA (DFA), Non-Deterministic FA, Regular Expressions, Grammar, Regular Language Properties, Moore & Mealy Machines, Pushdown Automata & CFG, Turing Machines
- Unit 12 | IoT: Emerging Tech Trends, Cloud Computing
- Unit 13 | Artificial Intelligence: Approaches to AI, Search Algorithms, Game Playing, Knowledge Representation, Natural Language Processing, Artificial Neural Networks, Genetic Algorithms
- Unit 14 | E-Commerce: Electronic Data Interchange and E-Commerce, Role of Internet and Web Services, Security in Mobile and Wireless Computing, Physical Security and Cryptography Basics, Cyber Safety and Security
- Unit 15 | Multimedia: Multimedia
- Unit 16 | Python: 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
- Full Length Mock Tests — General Paper:
- Full Length Mock Tests — Computer Science (Paper II):
AI summary & chapters
AI Summary
An AI-generated summary of this video lecture.
This educational video provides a comprehensive lecture on the representation of algorithms, focusing on flowcharts. The instructor begins by defining a flowchart as a graphical representation of an algorithm. He then presents a table of common flowchart symbols, explaining the meaning of the oval (Start/Stop), parallelogram (Input/Output), rectangle (Processing), and diamond (Decision). The second part of the video is a practical demonstration where the instructor draws a flowchart on a digital whiteboard to check which of two numbers, NUM1 and NUM2, is greater. The flowchart includes a start symbol, input symbols for the two numbers, a decision symbol for the comparison, two processing symbols for printing the result, and a stop symbol, illustrating the complete logical flow of the algorithm.
Chapters
0:00 – 2:00 00:00-02:00
The video opens with a title slide that reads "Representation of Algorithms". The instructor, standing in front of a digital screen, introduces the topic. The screen then transitions to a slide titled "Flowchart" with the definition: "A graphical representation of an algorithm." The instructor explains this concept, emphasizing that a flowchart uses standardized symbols to visually depict the steps of an algorithm. He gestures towards the screen to highlight the definition, setting the foundation for the lesson.
2:00 – 4:13 02:00-04:13
The instructor displays a slide titled "Common Flowchart Symbols" which lists the symbols and their meanings: Oval for Start/Stop, Parallelogram for Input/Output, Rectangle for Processing, and Diamond for Decision. He then begins to draw a flowchart on the digital whiteboard. The title of the flowchart is "# Flowchart for checking greater No.". He draws an oval labeled "Start", a parallelogram for inputting "NUM1 = 10" and "NUM2 = 20", a diamond for the decision "if NUM1 > NUM2", and two rectangles for the output actions "Print NUM1" and "Print NUM2". He labels the paths from the decision as "True" and "False" and connects them to the respective output boxes, concluding with a final "Stop" oval, thus demonstrating the complete flow of the algorithm.
The video systematically teaches the concept of flowcharts as a method for representing algorithms. It starts with a theoretical definition and a review of standard symbols, providing a clear framework for understanding. This is followed by a practical application, where the instructor constructs a complete flowchart for a simple problem, demonstrating how the abstract symbols are used to create a logical, step-by-step visual guide. The progression from theory to practice effectively illustrates the utility of flowcharts in algorithm design.