Decimal to Any Base

Duration: 5 min

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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.

This educational video features an instructor demonstrating the mathematical process of converting numbers between different bases. The specific problem presented is to convert the number $(4213.21)_5$ into base 7. The video shows an intermediate step where the base 5 number is first converted to decimal (base 10), resulting in $(558.44)_{10}$. The primary focus of the lecture is the second part of the conversion: transforming the decimal number $(558.44)_{10}$ into base 7. The instructor breaks down the problem into two distinct components: the integer part (558) and the fractional part (0.44). He uses a whiteboard to visually demonstrate the algorithms required for each part, ensuring students can follow the step-by-step arithmetic involved in changing number systems.

Chapters

  1. 0:00 – 2:00 00:00-02:00

    The instructor begins by writing the conversion problem on the whiteboard: $(4213.21)_5 ightarrow (558.44)_{10} ightarrow (\dots)_7$. He explicitly underlines the decimal number 558.44 to indicate this is the starting point for the current exercise. He starts with the integer part, 558. He sets up a long division format with 7 as the divisor and 558 as the dividend. He performs the division $558 \div 7$, calculating the quotient as 79 and the remainder as 5. He writes "79 - 5" on the board. He then proceeds to divide the quotient 79 by 7, obtaining a new quotient of 11 and a remainder of 2. This process continues with 11 divided by 7, yielding a quotient of 1 and a remainder of 4. Finally, he divides 1 by 7, resulting in a quotient of 0 and a remainder of 1. He reads the remainders from the last step upwards to form the integer part of the base 7 number, which is 1425.

  2. 2:00 – 4:32 02:00-04:32

    Next, the instructor addresses the fractional part of the decimal number, which is 0.44. He explains that for fractional parts, the method involves repeated multiplication by the target base, which is 7. He writes $0.44 imes 7$ and calculates the result as 3.08. He identifies the integer part, 3, as the first digit after the decimal point in the new base. He then takes the remaining fractional part, 0.08, and multiplies it by 7 to get 0.56. The integer part 0 becomes the next digit. He continues this iterative process: $0.56 imes 7 = 3.92$ (digit 3), $0.92 imes 7 = 6.44$ (digit 6), and $0.44 imes 7 = 3.08$ (digit 3). He writes these digits sequentially to form the fractional part $.30363$. Finally, he combines the integer and fractional results to write the final answer on the board as $(1425.30363)_7$.

The lecture effectively illustrates the standard algorithms for base conversion. For the integer portion, the repeated division method is used, where the remainders collected in reverse order form the digits of the new base. For the fractional portion, the repeated multiplication method is applied, where the integer parts collected in order form the digits of the new base. The instructor's clear step-by-step breakdown on the whiteboard helps visualize the arithmetic operations involved in changing number systems.

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