COA | Unit-2 | Lecture-24 | IEEE Standard For Floating Point Numbers | AKTU B.Tech Computer Science

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In this video, we explain the IEEE Standard for Floating-Point Numbers (Part 1) — the most widely used format for representing real numbers in modern computer systems.

You’ll learn why floating-point representation is needed, how real numbers are stored using sign bit, exponent field, and mantissa (fraction), and how the IEEE-754 standard ensures accuracy, portability, and consistency across different hardware platforms.
We also introduce the concepts of normalized numbers, bias in exponent, hidden bit, and the difference between single precision (32-bit) and double precision (64-bit) formats.

With clear breakdowns of floating-point fields and easy-to-understand visuals, this lecture will help you build a strong foundation before moving on to conversions and examples in Part 2.

This topic is part of Unit 2 – Data Representation as per the AKTU syllabus, and is important for GATE and NET Computer Science preparation.

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