In Digital Computer, data and instructions are stored in computer memory using binary code (or machine code) r epresented by Binary digIT’s 1 and 0 called BIT’s. The data may contain digits, alphabets or special character, which are converted to bits, understandable by the computer. The number system uses well defined symbols called digits ...

BIT PATTERNS patterns allows computers to process, store, and transmit data efficiently. These representations conquer the binary nature of computing, enabling the use of simple electronic circuits that can distinguish

Shannon is best known as the inventor of information theory, which provides the mathematical foundation for understanding data communication. To many, however, Shannon’s great contribution was that he never lost his sense of fun throughout his long career.

We will show you what puts the \digital" in digital systems and how computers process information. We will also teach you a few principles of cryptography, which allows us to make sure that information is kept secret or unaltered.

Data Representation refers to the form in which data is stored, processed, and transmitted. Devices such as smartphones, iPods, and computers store data in digital formats that can be handled by electronic circuitry.

Why do we have four (popular) different representations for integers? Each has it's own advantages and disadvantages. Assume our box has a fixed number of bits n (e.g., 32). We have two problems. (1) Which 4 billion integers do we want? Remember there are an infinite. number of integers less than zero and an infinite number greater than zero.

In this lecture we’ll see our type system in action. In particular we will see how types enable and guide data representation. We first look at a traditional problem (representing numbers in binary form) then at a less traditional one (representing the untyped -calculus).

How can data be represented electronically? What number systems are often used and why? How do number systems of different bases work? How do you convert a number between …

Formal Representation for Subtraction R = X - Y When subtracting two 32-bit integers X and Y, the flags are N = R31 Z is set if R is zero.

Section 3.4 – Floating-Point Representation The floating-point representation of a number has two parts The first part represents a signed, fixed-point number – the mantissa The second part designates the position of the binary point – the exponent The mantissa may be …