IEEE 754 Floating Point Representation | Single Precision & Double Precision | Computer Organization

In this video, we explain the IEEE 754 Floating Point Representation, the standard used in computers to store real numbers. You will learn how Single Precision (32-bit) and Double Precision (64-bit) formats represent floating point numbers using Sign bit, Exponent, and Mantissa. The lecture covers normalization, biased exponent representation, and how IEEE 754 improves accuracy and range in numerical computation. 📌 Topics Covered Introduction to IEEE 754 Standard Floating Point Structure (Sign, Exponent, Mantissa) Single Precision Format (32-bit) Double Precision Format (64-bit) Exponent Bias concept Normalized Floating Point Numbers Examples of IEEE 754 Representation Difference between Single vs Double Precision 🎯 Useful for CSE / IT students, Computer Organization exams, GATE preparation, and interview revision. 👍 Like | 🔔 Subscribe | 💬 Comment for doubts #IEEE754 #FloatingPointRepresentation #SinglePrecision #DoublePrecision #ComputerOrganization #COA #BinaryNumbers #GateCS #EngineeringLectures