COMP Overview of Tutorial #2

Size: px
Start display at page:

Download "COMP Overview of Tutorial #2"

Transcription

1 COMP 1402 Winter 2008 Tutorial #2 Overview of Tutorial #2 Number representation basics Binary conversions Octal conversions Hexadecimal conversions Signed numbers (signed magnitude, one s and two s complement, Excess-M) Float conversions 1

2 Number representation basics In binary each digit (or bit) has 2 possible values: 0 or 1. Ex: ( ) 2 In octal each digit has 8 possible values: 0, 1, 2 7. Ex: (4127) 8 In hexadecimal (or hex for short) each digit has 16 possible values: 0, 1, 2 9, then A, B, C, D, E and F (representing 10, 11, 12, 13,14 and 15 in decimal respectively). Ex: (1AF6) 16 or 1AF6h Arbitrary base b: Bases d n d n-1 d n-2... d 2 d 1 d 0 To calculate the value: d n *b n + d n-1 *b n d 1 *b 1 + d 0 *b 0 Decimals (base 10): How do we interpret the number 2510? = 2* * * *10 0 2

3 Bases (2) Given a number d n d n-1 d n-2... d 2 d 1 d 0 In binary (base 2) value = d n *2 n + d n-1 *2 n d 1 *2 1 + d 0 *2 0 In octal (base 8) value = d n *8 n + d n-1 *8 n d 1 *8 1 + d 0 *8 0 In hexadecimal (base 16) value = d n *16 n + d n-1 *16 n d 1 * d 0 *16 0 Fractions in bases Arbitrary base fractions: 0. d -1 d -2 d -3 value = d -1 *b -1 + d -2 *b -2 + d -3 *b -3 In decimal (base 10): is equal to 5* * *10-3 In binary (base 2): is equal to 1* * * *2-4 = 1* * * * =

4 Binary: Most/Least Significant bits Most significant bit (MSB) is the leftmost bit: Ex: It is the bit of highest value (128 in the example above) but can also be used as the sign of the number (as we ll see later). Least significant bit (LSB) is the rightmost bit: Ex: Has the least value of all the bits (0 or 1). Binary to decimal To convert binary to decimal we must add the digits weighed by exponents of 2 used in the binary number as seen previously. value = d n *2 n + d n-1 *2 n d 1 *2 1 + d 0 *2 0 Ex: convert (11010) 2 to decimal. This is equal to 1*2 4 +1* * *2 1 +0* = 26 (11010) 2 = (26) 10 4

5 Decimal to binary Converting a number from base 10 to base 2. Let s look again at the value of a binary number: d n *2 n + d n-1 *2 n d 1 *2 1 + d 0 *2 0 We need to fill in the d 0 to d n to build the binary number as d n d n-1 d n-2... d 2 d 1 d 0 Different ways to solve this Start with the largest power of 2 in the decimal number, then move down (slow) Algorithm using the mod approach (easier) Decimal to binary (2) Decimal to binary algorithm: Q = decimal number While Q is not equal to 0 do the following: Binary digit = Q mod 2 Q = Q / 2 (quotient) End While Let s try an example 5

6 Decimal to binary (3) Example: convert (134) 10 to binary. 134 mod 2 = 0 67 mod 2 = 1 33 mod 2 = 1 16 mod 2 = 0 8 mod 2 = 0 4 mod 2 = 0 2 mod 2 = 0 1 mod 2 = 1 We then read the numbers from bottom up: So (134) 10 = ( ) 2 Decimal fraction to binary Convert both sides of the period separately. We ve seen how to do the left side, now the fraction side. Instead of mod, we multiply by two (*2). When we go over 1.0, subtract 1 for next round. Ex: Convert ( ) 10 to binary * 2 = * 2 = * 2 = * 2 = * 2 = 1.0 (stop at 1.0) Then we read the numbers top to bottom: Therefore ( ) 10 =

7 Octal to binary Since every octal digit can take 8 values we can convert each digit to binary using 3 bits. Ex: convert (7213) 8 to binary. We ll convert each digit separately: Octal: Binary: Therefore: (7213) 8 = ( ) 2 Binary to octal Group the binary number into groups of 3 bits, starting from the right, then convert each group into their octal value. Ex: convert ( ) 2 to octal Therefore: ( ) 2 = (32635) 8 7

8 Hexadecimal to binary Since every digit of hex has 16 possible values, we represent each digit using 4 binary bits. Ex: convert (5DE9) 16 to binary. convert each digit into four binary bits: 5 D E Therefore (5DE9) 16 = ( ) 2 Binary to hexadecimal Group the binary number into groups of 4 bits, starting from the right, then convert each group into their hex value. Ex: ( ) 2 to hex F 7 Therefore ( ) 2 = (125F7) 16 8

9 Octal to decimal Count the digits weighed by exponents of 8, as seen previously: value = d n *8 n + d n-1 *8 n d 1 *8 1 + d 0 *8 0 Ex: convert (314) 8 to decimal. = 3* * *8 0 = 3*64 + 1*8 + 4*1 = (314) 8 = (204) 10 Hexadecimal to decimal Count the digits weighed by exponents of 16, as seen previously: value = d n *16 n + d n-1 *16 n d 1 * d 0 *16 0 Ex: convert (4A1C) 16 to decimal. = 4* * * *16 0 = 4* * * *1 = (4A1C) 16 =

10 Part I of the exercises then correction Signed Magnitude One s Complement Two s Complement Excess-M (Bias) Signed Numbers 10

11 Signed Magnitude MSB is 1 if the number is negative (-), 0 if the number is positive (+). The rest of the number is converted to binary like we ve seen before. What happens with numbers smaller than -127? overflow Example: (-14) 10 : 14 in binary is: in signed magnitude is: One s complement MSB is the sign bit 1 is negative 0 is positive Rules to change sign: Flip all the bits (change 0 s to 1 s and 1 s to 0 s) Two zeroes: and Harder to know the value of a negative number (have to be complemented first) 11

12 One s Complement (decimal to binary) First, convert the decimal to binary If the number is negative, flip every bit (0 become 1, 1 becomes 0). Positive numbers are converted to binary without change. Example: (-44) 10 in one s complement 44 in binary is: in one s complement is: Example: (38) 10 in one s complement 38 in binary is: in one s complement is: (same) One s Complement (binary to decimal) If the MSB is 1, we must flip every bit before converting to decimal. Ex: convert ( ) 2 from one s complement to decimal. Flip the bits since M.S.B. is a 1 : Then find the decimal value: = 99 and we add the sign= (-99) 10 If the number is positive (MSB is 0 ) we convert to decimal without any other changes. 12

13 Two s complement MSB is the sign bit 1 is negative 0 is positive Rules to change sign: Take one s complement, then add 1. Only one zero: Have to take the two s complement of negatives in order to know the value. Two s Complement (decimal to binary) Convert the decimal to binary, then to one s complement, then add 1. Ex: convert (-57) 10 to two s complement. 57 in binary is: in one s complement: add 1: + 1 in two s complement:

14 Two s Complement (binary to decimal) If the MSB is 1, take one s complement (flip every bit) then add 1. Ex: convert ( ) 2 from two s complement to decimal. Take one s complement : add 1: and convert to decimal = = 52 so the answer is (-52) 10 Excess-M (Bias) 8-bit version has 256 values (-127 to +128). Used to store the exponent in the float rep. For floating point, we ll use Excess-127. Ex: Convert 32 to Excess-127 = = 159 or To convert Excess-127 back to decimal: convert to decimal then subtract 127. Ex: Convert in Excess-127 to decimal = = (79) 10 14

15 Addition in One s complement First convert both decimals in one s complement then add. If there is a carry, add it to the right. Ex: add (-15) 10 and (+69) 10 in one s complement. -15 in one s complement: in one s complement: add: add carry to right: 1 answer: or +54 Addition in Two s complement First convert both decimals in two s complement, then add. If there is a carry, discard it. Ex: add (-22) 10 and (19) 10 in two s complement -22 in two s complement: in two s complement: add: Since MSB is 1, take two s complement to get the answer: or -3 15

16 Float representation Used to represent fractional numbers Overall sign Mantissa (fraction part) Exponent Base In C: 32-bit float (4 bytes) Sign Exponent Mantissa 1 bit 8 bits 23 bits Float to decimal Convert from float (1-bit sign, 8-bit exponent and 23-bit mantissa) to decimal. Sign: - since the bit sign is 1 Exponent: to decimal = 3, then subtract 127 to convert from Excess-127 to true value: = Mantissa: 11 followed by zeroes. We supply the leading 1 (always). So the number is -(1.11) 2 * = *

17 Decimal to float Convert (3.6875) 10 to float (1-bit sign, 8-bit exponent and 23-bit mantissa). Sign: 0 (since the number is positive) To figure out the mantissa and the exponent, we must first convert the decimal to binary. 3 to binary = to binary: * 2 = * 2 = * 2 = * 2 = 1.0 So in binary is (continued next slide) Decimal to float (2) Floats must always be in the format 1.x so we must move the period to have 1.x in our binary number: (we have to shift the period one place to the left). So = * 2 1 We now have the mantissa: 11011(followed by zeroes) And the exponent is 1, converted to Excess-127 = 128. In binary 128 = Answer: Convert back to decimal to verify the answer. 17

18 Part II of the exercises then correction 18

CHAPTER V NUMBER SYSTEMS AND ARITHMETIC

CHAPTER V NUMBER SYSTEMS AND ARITHMETIC CHAPTER V-1 CHAPTER V CHAPTER V NUMBER SYSTEMS AND ARITHMETIC CHAPTER V-2 NUMBER SYSTEMS RADIX-R REPRESENTATION Decimal number expansion 73625 10 = ( 7 10 4 ) + ( 3 10 3 ) + ( 6 10 2 ) + ( 2 10 1 ) +(

More information

Decimal & Binary Representation Systems. Decimal & Binary Representation Systems

Decimal & Binary Representation Systems. Decimal & Binary Representation Systems Decimal & Binary Representation Systems Decimal & binary are positional representation systems each position has a value: d*base i for example: 321 10 = 3*10 2 + 2*10 1 + 1*10 0 for example: 101000001

More information

MACHINE LEVEL REPRESENTATION OF DATA

MACHINE LEVEL REPRESENTATION OF DATA MACHINE LEVEL REPRESENTATION OF DATA CHAPTER 2 1 Objectives Understand how integers and fractional numbers are represented in binary Explore the relationship between decimal number system and number systems

More information

Number Systems. Decimal numbers. Binary numbers. Chapter 1 <1> 8's column. 1000's column. 2's column. 4's column

Number Systems. Decimal numbers. Binary numbers. Chapter 1 <1> 8's column. 1000's column. 2's column. 4's column 1's column 10's column 100's column 1000's column 1's column 2's column 4's column 8's column Number Systems Decimal numbers 5374 10 = Binary numbers 1101 2 = Chapter 1 1's column 10's column 100's

More information

Number representations

Number representations Number representations Number bases Three number bases are of interest: Binary, Octal and Hexadecimal. We look briefly at conversions among them and between each of them and decimal. Binary Base-two, or

More information

FLOATING POINT NUMBERS

FLOATING POINT NUMBERS Exponential Notation FLOATING POINT NUMBERS Englander Ch. 5 The following are equivalent representations of 1,234 123,400.0 x 10-2 12,340.0 x 10-1 1,234.0 x 10 0 123.4 x 10 1 12.34 x 10 2 1.234 x 10 3

More information

Numerical Representations On The Computer: Negative And Rational Numbers

Numerical Representations On The Computer: Negative And Rational Numbers Numerical Representations On The Computer: Negative And Rational Numbers How are negative and rational numbers represented on the computer? How are subtractions performed by the computer? Subtraction In

More information

CS & IT Conversions. Magnitude 10,000 1,

CS & IT Conversions. Magnitude 10,000 1, CS & IT Conversions There are several number systems that you will use when working with computers. These include decimal, binary, octal, and hexadecimal. Knowing how to convert between these number systems

More information

Number System. Introduction. Decimal Numbers

Number System. Introduction. Decimal Numbers Number System Introduction Number systems provide the basis for all operations in information processing systems. In a number system the information is divided into a group of symbols; for example, 26

More information

COMP2611: Computer Organization. Data Representation

COMP2611: Computer Organization. Data Representation COMP2611: Computer Organization Comp2611 Fall 2015 2 1. Binary numbers and 2 s Complement Numbers 3 Bits: are the basis for binary number representation in digital computers What you will learn here: How

More information

CHW 261: Logic Design

CHW 261: Logic Design CHW 261: Logic Design Instructors: Prof. Hala Zayed Dr. Ahmed Shalaby http://www.bu.edu.eg/staff/halazayed14 http://bu.edu.eg/staff/ahmedshalaby14# Slide 1 Slide 2 Slide 3 Digital Fundamentals CHAPTER

More information

Numerical Representations On The Computer: Negative And Rational Numbers

Numerical Representations On The Computer: Negative And Rational Numbers Numerical Representations On The Computer: Negative And Rational Numbers How are negative and rational numbers represented on the computer? How are subtractions performed by the computer? Subtraction In

More information

Module 2: Computer Arithmetic

Module 2: Computer Arithmetic Module 2: Computer Arithmetic 1 B O O K : C O M P U T E R O R G A N I Z A T I O N A N D D E S I G N, 3 E D, D A V I D L. P A T T E R S O N A N D J O H N L. H A N N E S S Y, M O R G A N K A U F M A N N

More information

COE 202- Digital Logic. Number Systems II. Dr. Abdulaziz Y. Barnawi COE Department KFUPM. January 23, Abdulaziz Barnawi. COE 202 Logic Design

COE 202- Digital Logic. Number Systems II. Dr. Abdulaziz Y. Barnawi COE Department KFUPM. January 23, Abdulaziz Barnawi. COE 202 Logic Design 1 COE 0- Digital Logic Number Systems II Dr. Abdulaziz Y. Barnawi COE Department KFUPM COE 0 Logic Design January 3, 016 Objectives Base Conversion Decimal to other bases Binary to Octal and Hexadecimal

More information

Number Systems Standard positional representation of numbers: An unsigned number with whole and fraction portions is represented as:

Number Systems Standard positional representation of numbers: An unsigned number with whole and fraction portions is represented as: N Number Systems Standard positional representation of numbers: An unsigned number with whole and fraction portions is represented as: a n a a a The value of this number is given by: = a n Ka a a a a a

More information

10.1. Unit 10. Signed Representation Systems Binary Arithmetic

10.1. Unit 10. Signed Representation Systems Binary Arithmetic 0. Unit 0 Signed Representation Systems Binary Arithmetic 0.2 BINARY REPRESENTATION SYSTEMS REVIEW 0.3 Interpreting Binary Strings Given a string of s and 0 s, you need to know the representation system

More information

Introduction to Computers and Programming. Numeric Values

Introduction to Computers and Programming. Numeric Values Introduction to Computers and Programming Prof. I. K. Lundqvist Lecture 5 Reading: B pp. 47-71 Sept 1 003 Numeric Values Storing the value of 5 10 using ASCII: 00110010 00110101 Binary notation: 00000000

More information

Introduction to Computer Science-103. Midterm

Introduction to Computer Science-103. Midterm Introduction to Computer Science-103 Midterm 1. Convert the following hexadecimal and octal numbers to decimal without using a calculator, showing your work. (6%) a. (ABC.D) 16 2748.8125 b. (411) 8 265

More information

A complement number system is used to represent positive and negative integers. A complement number system is based on a fixed length representation

A complement number system is used to represent positive and negative integers. A complement number system is based on a fixed length representation Complement Number Systems A complement number system is used to represent positive and negative integers A complement number system is based on a fixed length representation of numbers Pretend that integers

More information

Inf2C - Computer Systems Lecture 2 Data Representation

Inf2C - Computer Systems Lecture 2 Data Representation Inf2C - Computer Systems Lecture 2 Data Representation Boris Grot School of Informatics University of Edinburgh Last lecture Moore s law Types of computer systems Computer components Computer system stack

More information

BINARY SYSTEM. Binary system is used in digital systems because it is:

BINARY SYSTEM. Binary system is used in digital systems because it is: CHAPTER 2 CHAPTER CONTENTS 2.1 Binary System 2.2 Binary Arithmetic Operation 2.3 Signed & Unsigned Numbers 2.4 Arithmetic Operations of Signed Numbers 2.5 Hexadecimal Number System 2.6 Octal Number System

More information

Chapter 2. Positional number systems. 2.1 Signed number representations Signed magnitude

Chapter 2. Positional number systems. 2.1 Signed number representations Signed magnitude Chapter 2 Positional number systems A positional number system represents numeric values as sequences of one or more digits. Each digit in the representation is weighted according to its position in the

More information

Number Systems CHAPTER Positional Number Systems

Number Systems CHAPTER Positional Number Systems CHAPTER 2 Number Systems Inside computers, information is encoded as patterns of bits because it is easy to construct electronic circuits that exhibit the two alternative states, 0 and 1. The meaning of

More information

Signed umbers. Sign/Magnitude otation

Signed umbers. Sign/Magnitude otation Signed umbers So far we have discussed unsigned number representations. In particular, we have looked at the binary number system and shorthand methods in representing binary codes. With m binary digits,

More information

CS 101: Computer Programming and Utilization

CS 101: Computer Programming and Utilization CS 101: Computer Programming and Utilization Jul-Nov 2017 Umesh Bellur (cs101@cse.iitb.ac.in) Lecture 3: Number Representa.ons Representing Numbers Digital Circuits can store and manipulate 0 s and 1 s.

More information

World Inside a Computer is Binary

World Inside a Computer is Binary C Programming 1 Representation of int data World Inside a Computer is Binary C Programming 2 Decimal Number System Basic symbols: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 Radix-10 positional number system. The radix

More information

Number Systems and Binary Arithmetic. Quantitative Analysis II Professor Bob Orr

Number Systems and Binary Arithmetic. Quantitative Analysis II Professor Bob Orr Number Systems and Binary Arithmetic Quantitative Analysis II Professor Bob Orr Introduction to Numbering Systems We are all familiar with the decimal number system (Base 10). Some other number systems

More information

IT 1204 Section 2.0. Data Representation and Arithmetic. 2009, University of Colombo School of Computing 1

IT 1204 Section 2.0. Data Representation and Arithmetic. 2009, University of Colombo School of Computing 1 IT 1204 Section 2.0 Data Representation and Arithmetic 2009, University of Colombo School of Computing 1 What is Analog and Digital The interpretation of an analog signal would correspond to a signal whose

More information

A Level Computing. Contents. For the Exam:

A Level Computing. Contents. For the Exam: A Level Computing Contents For the Exam:... 1 Revision of Binary... 2 Computing Mathematics Revision... 2 Binary Addition/Subtraction revision... 3 BCD... 3 Sign and Magnitude... 4 2 s Compliment... 4

More information

Operations On Data CHAPTER 4. (Solutions to Odd-Numbered Problems) Review Questions

Operations On Data CHAPTER 4. (Solutions to Odd-Numbered Problems) Review Questions CHAPTER 4 Operations On Data (Solutions to Odd-Numbered Problems) Review Questions 1. Arithmetic operations interpret bit patterns as numbers. Logical operations interpret each bit as a logical values

More information

DLD VIDYA SAGAR P. potharajuvidyasagar.wordpress.com. Vignana Bharathi Institute of Technology UNIT 1 DLD P VIDYA SAGAR

DLD VIDYA SAGAR P. potharajuvidyasagar.wordpress.com. Vignana Bharathi Institute of Technology UNIT 1 DLD P VIDYA SAGAR UNIT I Digital Systems: Binary Numbers, Octal, Hexa Decimal and other base numbers, Number base conversions, complements, signed binary numbers, Floating point number representation, binary codes, error

More information

Number Systems. Binary Numbers. Appendix. Decimal notation represents numbers as powers of 10, for example

Number Systems. Binary Numbers. Appendix. Decimal notation represents numbers as powers of 10, for example Appendix F Number Systems Binary Numbers Decimal notation represents numbers as powers of 10, for example 1729 1 103 7 102 2 101 9 100 decimal = + + + There is no particular reason for the choice of 10,

More information

Chapter 1 Review of Number Systems

Chapter 1 Review of Number Systems 1.1 Introduction Chapter 1 Review of Number Systems Before the inception of digital computers, the only number system that was in common use is the decimal number system which has a total of 10 digits

More information

Chapter 03: Computer Arithmetic. Lesson 09: Arithmetic using floating point numbers

Chapter 03: Computer Arithmetic. Lesson 09: Arithmetic using floating point numbers Chapter 03: Computer Arithmetic Lesson 09: Arithmetic using floating point numbers Objective To understand arithmetic operations in case of floating point numbers 2 Multiplication of Floating Point Numbers

More information

Numbers and Computers. Debdeep Mukhopadhyay Assistant Professor Dept of Computer Sc and Engg IIT Madras

Numbers and Computers. Debdeep Mukhopadhyay Assistant Professor Dept of Computer Sc and Engg IIT Madras Numbers and Computers Debdeep Mukhopadhyay Assistant Professor Dept of Computer Sc and Engg IIT Madras 1 Think of a number between 1 and 15 8 9 10 11 12 13 14 15 4 5 6 7 12 13 14 15 2 3 6 7 10 11 14 15

More information

Computer (Literacy) Skills. Number representations and memory. Lubomír Bulej KDSS MFF UK

Computer (Literacy) Skills. Number representations and memory. Lubomír Bulej KDSS MFF UK Computer (Literacy Skills Number representations and memory Lubomír Bulej KDSS MFF UK Number representations? What for? Recall: computer works with binary numbers Groups of zeroes and ones 8 bits (byte,

More information

Digital Fundamentals

Digital Fundamentals Digital Fundamentals Tenth Edition Floyd Chapter 2 2009 Pearson Education, Upper 2008 Pearson Saddle River, Education NJ 07458. All Rights Reserved Decimal Numbers The position of each digit in a weighted

More information

Data Representation COE 301. Computer Organization Prof. Muhamed Mudawar

Data Representation COE 301. Computer Organization Prof. Muhamed Mudawar Data Representation COE 30 Computer Organization Prof. Muhamed Mudawar College of Computer Sciences and Engineering King Fahd University of Petroleum and Minerals Presentation Outline Positional Number

More information

Chapter 3: Arithmetic for Computers

Chapter 3: Arithmetic for Computers Chapter 3: Arithmetic for Computers Objectives Signed and Unsigned Numbers Addition and Subtraction Multiplication and Division Floating Point Computer Architecture CS 35101-002 2 The Binary Numbering

More information

Digital Logic. The Binary System is a way of writing numbers using only the digits 0 and 1. This is the method used by the (digital) computer.

Digital Logic. The Binary System is a way of writing numbers using only the digits 0 and 1. This is the method used by the (digital) computer. Digital Logic 1 Data Representations 1.1 The Binary System The Binary System is a way of writing numbers using only the digits 0 and 1. This is the method used by the (digital) computer. The system we

More information

Chapter 4. Operations on Data

Chapter 4. Operations on Data Chapter 4 Operations on Data 1 OBJECTIVES After reading this chapter, the reader should be able to: List the three categories of operations performed on data. Perform unary and binary logic operations

More information

Octal & Hexadecimal Number Systems. Digital Electronics

Octal & Hexadecimal Number Systems. Digital Electronics Octal & Hexadecimal Number Systems Digital Electronics What, More Number Systems? Why do we need more number systems? Humans understand decimal Check out my ten digits! Digital electronics (computers)

More information

Chapter 2: Number Systems

Chapter 2: Number Systems Chapter 2: Number Systems Logic circuits are used to generate and transmit 1s and 0s to compute and convey information. This two-valued number system is called binary. As presented earlier, there are many

More information

9/3/2015. Data Representation II. 2.4 Signed Integer Representation. 2.4 Signed Integer Representation

9/3/2015. Data Representation II. 2.4 Signed Integer Representation. 2.4 Signed Integer Representation Data Representation II CMSC 313 Sections 01, 02 The conversions we have so far presented have involved only unsigned numbers. To represent signed integers, computer systems allocate the high-order bit

More information

In this lesson you will learn: how to add and multiply positive binary integers how to work with signed binary numbers using two s complement how fixed and floating point numbers are used to represent

More information

Number Systems and Conversions UNIT 1 NUMBER SYSTEMS & CONVERSIONS. Number Systems (2/2) Number Systems (1/2) Iris Hui-Ru Jiang Spring 2010

Number Systems and Conversions UNIT 1 NUMBER SYSTEMS & CONVERSIONS. Number Systems (2/2) Number Systems (1/2) Iris Hui-Ru Jiang Spring 2010 Contents Number systems and conversion Binary arithmetic Representation of negative numbers Addition of two s complement numbers Addition of one s complement numbers Binary s Readings Unit.~. UNIT NUMBER

More information

Semester Transition Point. EE 109 Unit 11 Binary Arithmetic. Binary Arithmetic ARITHMETIC

Semester Transition Point. EE 109 Unit 11 Binary Arithmetic. Binary Arithmetic ARITHMETIC 1 2 Semester Transition Point EE 109 Unit 11 Binary Arithmetic At this point we are going to start to transition in our class to look more at the hardware organization and the low-level software that is

More information

l l l l l l l Base 2; each digit is 0 or 1 l Each bit in place i has value 2 i l Binary representation is used in computers

l l l l l l l Base 2; each digit is 0 or 1 l Each bit in place i has value 2 i l Binary representation is used in computers 198:211 Computer Architecture Topics: Lecture 8 (W5) Fall 2012 Data representation 2.1 and 2.2 of the book Floating point 2.4 of the book Computer Architecture What do computers do? Manipulate stored information

More information

CPE 323 REVIEW DATA TYPES AND NUMBER REPRESENTATIONS IN MODERN COMPUTERS

CPE 323 REVIEW DATA TYPES AND NUMBER REPRESENTATIONS IN MODERN COMPUTERS CPE 323 REVIEW DATA TYPES AND NUMBER REPRESENTATIONS IN MODERN COMPUTERS Aleksandar Milenković The LaCASA Laboratory, ECE Department, The University of Alabama in Huntsville Email: milenka@uah.edu Web:

More information

Number Systems. Both numbers are positive

Number Systems. Both numbers are positive Number Systems Range of Numbers and Overflow When arithmetic operation such as Addition, Subtraction, Multiplication and Division are performed on numbers the results generated may exceed the range of

More information

CPE 323 REVIEW DATA TYPES AND NUMBER REPRESENTATIONS IN MODERN COMPUTERS

CPE 323 REVIEW DATA TYPES AND NUMBER REPRESENTATIONS IN MODERN COMPUTERS CPE 323 REVIEW DATA TYPES AND NUMBER REPRESENTATIONS IN MODERN COMPUTERS Aleksandar Milenković The LaCASA Laboratory, ECE Department, The University of Alabama in Huntsville Email: milenka@uah.edu Web:

More information

Organisasi Sistem Komputer

Organisasi Sistem Komputer LOGO Organisasi Sistem Komputer OSK 8 Aritmatika Komputer 1 1 PT. Elektronika FT UNY Does the calculations Arithmetic & Logic Unit Everything else in the computer is there to service this unit Handles

More information

1010 2?= ?= CS 64 Lecture 2 Data Representation. Decimal Numbers: Base 10. Reading: FLD Digits: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9

1010 2?= ?= CS 64 Lecture 2 Data Representation. Decimal Numbers: Base 10. Reading: FLD Digits: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 CS 64 Lecture 2 Data Representation Reading: FLD 1.2-1.4 Decimal Numbers: Base 10 Digits: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 Example: 3271 = (3x10 3 ) + (2x10 2 ) + (7x10 1 ) + (1x10 0 ) 1010 10?= 1010 2?= 1

More information

UNIT 7A Data Representation: Numbers and Text. Digital Data

UNIT 7A Data Representation: Numbers and Text. Digital Data UNIT 7A Data Representation: Numbers and Text 1 Digital Data 10010101011110101010110101001110 What does this binary sequence represent? It could be: an integer a floating point number text encoded with

More information

COE 202: Digital Logic Design Number Systems Part 2. Dr. Ahmad Almulhem ahmadsm AT kfupm Phone: Office:

COE 202: Digital Logic Design Number Systems Part 2. Dr. Ahmad Almulhem   ahmadsm AT kfupm Phone: Office: COE 0: Digital Logic Design Number Systems Part Dr. Ahmad Almulhem Email: ahmadsm AT kfupm Phone: 860-7554 Office: -34 Objectives Arithmetic operations: Binary number system Other number systems Base Conversion

More information

Final Labs and Tutors

Final Labs and Tutors ICT106 Fundamentals of Computer Systems - Topic 2 REPRESENTATION AND STORAGE OF INFORMATION Reading: Linux Assembly Programming Language, Ch 2.4-2.9 and 3.6-3.8 Final Labs and Tutors Venue and time South

More information

Level ISA3: Information Representation

Level ISA3: Information Representation Level ISA3: Information Representation 1 Information as electrical current At the lowest level, each storage unit in a computer s memory is equipped to contain either a high or low voltage signal Each

More information

Divide: Paper & Pencil

Divide: Paper & Pencil Divide: Paper & Pencil 1001 Quotient Divisor 1000 1001010 Dividend -1000 10 101 1010 1000 10 Remainder See how big a number can be subtracted, creating quotient bit on each step Binary => 1 * divisor or

More information

Lecture 2: Number Systems

Lecture 2: Number Systems Lecture 2: Number Systems Syed M. Mahmud, Ph.D ECE Department Wayne State University Original Source: Prof. Russell Tessier of University of Massachusetts Aby George of Wayne State University Contents

More information

Rui Wang, Assistant professor Dept. of Information and Communication Tongji University.

Rui Wang, Assistant professor Dept. of Information and Communication Tongji University. Data Representation ti and Arithmetic for Computers Rui Wang, Assistant professor Dept. of Information and Communication Tongji University it Email: ruiwang@tongji.edu.cn Questions What do you know about

More information

CS 265. Computer Architecture. Wei Lu, Ph.D., P.Eng.

CS 265. Computer Architecture. Wei Lu, Ph.D., P.Eng. CS 265 Computer Architecture Wei Lu, Ph.D., P.Eng. 1 Part 1: Data Representation Our goal: revisit and re-establish fundamental of mathematics for the computer architecture course Overview: what are bits

More information

Number Systems. TA: Mamun. References: Lecture notes of Introduction to Information Technologies (ITEC 1011) by Dr Scott MacKenzie

Number Systems. TA: Mamun. References: Lecture notes of Introduction to Information Technologies (ITEC 1011) by Dr Scott MacKenzie Number Systems TA: Mamun References: Lecture notes of Introduction to Information Technologies (ITEC 1011) by Dr Scott MacKenzie Common Number Systems System Base Symbols Decimal 10 0, 1, 9 Binary 2 0,

More information

Internal Data Representation

Internal Data Representation Appendices This part consists of seven appendices, which provide a wealth of reference material. Appendix A primarily discusses the number systems and their internal representation. Appendix B gives information

More information

Chapter 2 Data Representations

Chapter 2 Data Representations Computer Engineering Chapter 2 Data Representations Hiroaki Kobayashi 4/21/2008 4/21/2008 1 Agenda in Chapter 2 Translation between binary numbers and decimal numbers Data Representations for Integers

More information

D I G I T A L C I R C U I T S E E

D I G I T A L C I R C U I T S E E D I G I T A L C I R C U I T S E E Digital Circuits Basic Scope and Introduction This book covers theory solved examples and previous year gate question for following topics: Number system, Boolean algebra,

More information

Positional notation Ch Conversions between Decimal and Binary. /continued. Binary to Decimal

Positional notation Ch Conversions between Decimal and Binary. /continued. Binary to Decimal Positional notation Ch.. /continued Conversions between Decimal and Binary Binary to Decimal - use the definition of a number in a positional number system with base - evaluate the definition formula using

More information

Homework 1 graded and returned in class today. Solutions posted online. Request regrades by next class period. Question 10 treated as extra credit

Homework 1 graded and returned in class today. Solutions posted online. Request regrades by next class period. Question 10 treated as extra credit Announcements Homework 1 graded and returned in class today. Solutions posted online. Request regrades by next class period. Question 10 treated as extra credit Quiz 2 Monday on Number System Conversions

More information

Signed Binary Numbers

Signed Binary Numbers Signed Binary Numbers Unsigned Binary Numbers We write numbers with as many digits as we need: 0, 99, 65536, 15000, 1979, However, memory locations and CPU registers always hold a constant, fixed number

More information

Integers and Floating Point

Integers and Floating Point CMPE12 More about Numbers Integers and Floating Point (Rest of Textbook Chapter 2 plus more)" Review: Unsigned Integer A string of 0s and 1s that represent a positive integer." String is X n-1, X n-2,

More information

Digital Fundamentals. CHAPTER 2 Number Systems, Operations, and Codes

Digital Fundamentals. CHAPTER 2 Number Systems, Operations, and Codes Digital Fundamentals CHAPTER 2 Number Systems, Operations, and Codes Decimal Numbers The decimal number system has ten digits: 0, 1, 2, 3, 4, 5, 6, 7, 8, and 9 The decimal numbering system has a base of

More information

Moodle WILLINGDON COLLEGE SANGLI. ELECTRONICS (B. Sc.-I) Introduction to Number System

Moodle WILLINGDON COLLEGE SANGLI. ELECTRONICS (B. Sc.-I) Introduction to Number System Moodle 1 WILLINGDON COLLEGE SANGLI ELECTRONICS (B. Sc.-I) Introduction to Number System E L E C T R O N I C S Introduction to Number System and Codes Moodle developed By Dr. S. R. Kumbhar Department of

More information

Data Representations & Arithmetic Operations

Data Representations & Arithmetic Operations Data Representations & Arithmetic Operations Hiroaki Kobayashi 7/13/2011 7/13/2011 Computer Science 1 Agenda Translation between binary numbers and decimal numbers Data Representations for Integers Negative

More information

MC1601 Computer Organization

MC1601 Computer Organization MC1601 Computer Organization Unit 1 : Digital Fundamentals Lesson1 : Number Systems and Conversions (KSB) (MCA) (2009-12/ODD) (2009-10/1 A&B) Coverage - Lesson1 Shows how various data types found in digital

More information

Chapter 2. Data Representation in Computer Systems

Chapter 2. Data Representation in Computer Systems Chapter 2 Data Representation in Computer Systems Chapter 2 Objectives Understand the fundamentals of numerical data representation and manipulation in digital computers. Master the skill of converting

More information

SIGNED AND UNSIGNED SYSTEMS

SIGNED AND UNSIGNED SYSTEMS EE 357 Unit 1 Fixed Point Systems and Arithmetic Learning Objectives Understand the size and systems used by the underlying HW when a variable is declared in a SW program Understand and be able to find

More information

Floating Point. The World is Not Just Integers. Programming languages support numbers with fraction

Floating Point. The World is Not Just Integers. Programming languages support numbers with fraction 1 Floating Point The World is Not Just Integers Programming languages support numbers with fraction Called floating-point numbers Examples: 3.14159265 (π) 2.71828 (e) 0.000000001 or 1.0 10 9 (seconds in

More information

COSC 243. Data Representation 3. Lecture 3 - Data Representation 3 1. COSC 243 (Computer Architecture)

COSC 243. Data Representation 3. Lecture 3 - Data Representation 3 1. COSC 243 (Computer Architecture) COSC 243 Data Representation 3 Lecture 3 - Data Representation 3 1 Data Representation Test Material Lectures 1, 2, and 3 Tutorials 1b, 2a, and 2b During Tutorial a Next Week 12 th and 13 th March If you

More information

UNIT-III COMPUTER ARTHIMETIC

UNIT-III COMPUTER ARTHIMETIC UNIT-III COMPUTER ARTHIMETIC INTRODUCTION Arithmetic Instructions in digital computers manipulate data to produce results necessary for the of activity solution of computational problems. These instructions

More information

The type of all data used in a C++ program must be specified

The type of all data used in a C++ program must be specified The type of all data used in a C++ program must be specified A data type is a description of the data being represented That is, a set of possible values and a set of operations on those values There are

More information

4 Operations On Data 4.1. Foundations of Computer Science Cengage Learning

4 Operations On Data 4.1. Foundations of Computer Science Cengage Learning 4 Operations On Data 4.1 Foundations of Computer Science Cengage Learning Objectives After studying this chapter, the student should be able to: List the three categories of operations performed on data.

More information

ITEC 1011 Introduction to Information Technologies

ITEC 1011 Introduction to Information Technologies Number Systems Common Number Systems System Base Symbols Used by humans? Used in computers? Decimal 10 0, 1, 9 Yes No Binary 2 0, 1 No Yes Octal 8 0, 1, 7 No No Hexadecimal 16 0, 1, 9, A, B, F No No Quantities/Counting

More information

Data Representation Type of Data Representation Integers Bits Unsigned 2 s Comp Excess 7 Excess 8

Data Representation Type of Data Representation Integers Bits Unsigned 2 s Comp Excess 7 Excess 8 Data Representation At its most basic level, all digital information must reduce to 0s and 1s, which can be discussed as binary, octal, or hex data. There s no practical limit on how it can be interpreted

More information

Number Systems (2.1.1)

Number Systems (2.1.1) Number Systems (2.1.1) Concept of a register. Operations of register, Complementation, Ranges, Left and right shifts, Addition of two binary number, Numerical overflow, 2 s complement representation, Binary

More information

Basic Definition INTEGER DATA. Unsigned Binary and Binary-Coded Decimal. BCD: Binary-Coded Decimal

Basic Definition INTEGER DATA. Unsigned Binary and Binary-Coded Decimal. BCD: Binary-Coded Decimal Basic Definition REPRESENTING INTEGER DATA Englander Ch. 4 An integer is a number which has no fractional part. Examples: -2022-213 0 1 514 323434565232 Unsigned and -Coded Decimal BCD: -Coded Decimal

More information

Floating-Point Data Representation and Manipulation 198:231 Introduction to Computer Organization Lecture 3

Floating-Point Data Representation and Manipulation 198:231 Introduction to Computer Organization Lecture 3 Floating-Point Data Representation and Manipulation 198:231 Introduction to Computer Organization Instructor: Nicole Hynes nicole.hynes@rutgers.edu 1 Fixed Point Numbers Fixed point number: integer part

More information

CO212 Lecture 10: Arithmetic & Logical Unit

CO212 Lecture 10: Arithmetic & Logical Unit CO212 Lecture 10: Arithmetic & Logical Unit Shobhanjana Kalita, Dept. of CSE, Tezpur University Slides courtesy: Computer Architecture and Organization, 9 th Ed, W. Stallings Integer Representation For

More information

9/23/15. Agenda. Goals of this Lecture. For Your Amusement. Number Systems and Number Representation. The Binary Number System

9/23/15. Agenda. Goals of this Lecture. For Your Amusement. Number Systems and Number Representation. The Binary Number System For Your Amusement Number Systems and Number Representation Jennifer Rexford Question: Why do computer programmers confuse Christmas and Halloween? Answer: Because 25 Dec = 31 Oct -- http://www.electronicsweekly.com

More information

Octal and Hexadecimal Integers

Octal and Hexadecimal Integers Octal and Hexadecimal Integers CS 350: Computer Organization & Assembler Language Programming A. Why? Octal and hexadecimal numbers are useful for abbreviating long bitstrings. Some operations on octal

More information

C NUMERIC FORMATS. Overview. IEEE Single-Precision Floating-point Data Format. Figure C-0. Table C-0. Listing C-0.

C NUMERIC FORMATS. Overview. IEEE Single-Precision Floating-point Data Format. Figure C-0. Table C-0. Listing C-0. C NUMERIC FORMATS Figure C-. Table C-. Listing C-. Overview The DSP supports the 32-bit single-precision floating-point data format defined in the IEEE Standard 754/854. In addition, the DSP supports an

More information

Chapter 1. Digital Systems and Binary Numbers

Chapter 1. Digital Systems and Binary Numbers Chapter 1. Digital Systems and Binary Numbers Tong In Oh 1 1.1 Digital Systems Digital age Characteristic of digital system Generality and flexibility Represent and manipulate discrete elements of information

More information

Numbering systems. Dr Abu Arqoub

Numbering systems. Dr Abu Arqoub Numbering systems The decimal numbering system is widely used, because the people Accustomed (معتاد) to use the hand fingers in their counting. But with the development of the computer science another

More information

Number Systems and Number Representation

Number Systems and Number Representation Princeton University Computer Science 217: Introduction to Programming Systems Number Systems and Number Representation Q: Why do computer programmers confuse Christmas and Halloween? A: Because 25 Dec

More information

unused unused unused unused unused unused

unused unused unused unused unused unused BCD numbers. In some applications, such as in the financial industry, the errors that can creep in due to converting numbers back and forth between decimal and binary is unacceptable. For these applications

More information

COMP2121: Microprocessors and Interfacing. Number Systems

COMP2121: Microprocessors and Interfacing. Number Systems COMP2121: Microprocessors and Interfacing Number Systems http://www.cse.unsw.edu.au/~cs2121 Lecturer: Hui Wu Session 2, 2017 1 1 Overview Positional notation Decimal, hexadecimal, octal and binary Converting

More information

Representation of Non Negative Integers

Representation of Non Negative Integers Representation of Non Negative Integers In each of one s complement and two s complement arithmetic, no special steps are required to represent a non negative integer. All conversions to the complement

More information

Arithmetic and Bitwise Operations on Binary Data

Arithmetic and Bitwise Operations on Binary Data Arithmetic and Bitwise Operations on Binary Data CSCI 2400: Computer Architecture ECE 3217: Computer Architecture and Organization Instructor: David Ferry Slides adapted from Bryant & O Hallaron s slides

More information

Korea University of Technology and Education

Korea University of Technology and Education MEC52 디지털공학 Binary Systems Jee-Hwan Ryu School of Mechanical Engineering Binary Numbers a 5 a 4 a 3 a 2 a a.a - a -2 a -3 base or radix = a n r n a n- r n-...a 2 r 2 a ra a - r - a -2 r -2...a -m r -m

More information

Integers. N = sum (b i * 2 i ) where b i = 0 or 1. This is called unsigned binary representation. i = 31. i = 0

Integers. N = sum (b i * 2 i ) where b i = 0 or 1. This is called unsigned binary representation. i = 31. i = 0 Integers So far, we've seen how to convert numbers between bases. How do we represent particular kinds of data in a certain (32-bit) architecture? We will consider integers floating point characters What

More information

ECOM 2325 Computer Organization and Assembly Language. Instructor: Ruba A.Salamah INTRODUCTION

ECOM 2325 Computer Organization and Assembly Language. Instructor: Ruba A.Salamah INTRODUCTION ECOM 2325 Computer Organization and Assembly Language Instructor: Ruba A.Salamah INTRODUCTION Overview Welcome to ECOM 2325 Assembly-, Machine-, and High-Level Languages Assembly Language Programming Tools

More information

Number Systems and Computer Arithmetic

Number Systems and Computer Arithmetic Number Systems and Computer Arithmetic Counting to four billion two fingers at a time What do all those bits mean now? bits (011011011100010...01) instruction R-format I-format... integer data number text

More information