Lectures related to Floating point numbers

Information Representation: Binary Representations

Explores binary information representation, efficiency, byte usage, and integer representation.

Floating Point Numbers: Representation and Errors

Covers the representation of floating point numbers and the importance of uniform relative error.

Discusses the binary representation of real numbers and the precision errors involved.

Covers derivation, integration, and simulation in Matlab, along with the representation of numbers and potential errors.

Integers Representation: Sign vs. Two's Complement

Explores integer representation methods, comparing sign-and-magnitude with two's complement, and introduces fixed-point and floating-point representations.

Floating Point Numbers: Extended Precision

Explores the representation of numbers using extended floating point notation.

Floating Point Numbers: LU Decomposition and Errors

Explores floating point numbers, LU decomposition, errors in numerical computations, and the impact of round-off errors.

Information Representation: Computation Module

Explores the representation of information, rounding errors, and image encoding.