Understanding Computers Today and Tomorrow 13 th Edition

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Understanding Computers: Today and Tomorrow, 13 th Edition Numbering systems Understanding Computers: Today and

Understanding Computers: Today and Tomorrow, 13 th Edition Numbering systems Understanding Computers: Today and Tomorrow, 13 th Edition

Learning Objectives Understand identify a few of the coding systems. Understanding Computers: Today and

Learning Objectives Understand identify a few of the coding systems. Understanding Computers: Today and Tomorrow, 13 th Edition 2

Data and Program Representation • Digital computers: Can only understand two states, off and

Data and Program Representation • Digital computers: Can only understand two states, off and on (0 and 1) • Digital data representation: The process of representing data in digital form so it can be understood by a computer Understanding Computers: Today and Tomorrow, 13 th Edition 3

Digital Data Representation • Bit: The smallest unit of data that a binary computer

Digital Data Representation • Bit: The smallest unit of data that a binary computer can recognize (a single 1 or 0) • Byte = 8 bits , Nibble =4 bits • Byte terminology used to express the size of documents and other files, programs, etc. • Prefixes are often used to express larger quantities of bytes: kilobyte (KB), megabyte (MB), gigabyte (GB), terabyte (TB), etc. Understanding Computers: Today and Tomorrow, 13 th Edition 4

Quiz I have a 2 Gb Flash memory. How many 512 Kb files can

Quiz I have a 2 Gb Flash memory. How many 512 Kb files can I store on the Flash memory? Note Mb is in common use for Megabit e. g. 200 Megabit = 200 Mb Answer Convert 2 Gb to Kb MB is in common use 2 x 1024=2048 Mb for Megabyte , e. g. 200 Mega. Byte=200 MB Convert from Mb to Kb 2048 x 1024= 2097152 kb Number of files= 2097152/ 512 = 4096 file Understanding Computers: Today and Tomorrow, 13 th Edition 5

Numbering Systems • A numbering system is a way of representing numbers. • A

Numbering Systems • A numbering system is a way of representing numbers. • A number is represented as a string of digits, e. g. , a number N with n digits represented by sequence dn-1, …, d 1, d 0 Understanding Computers: Today and Tomorrow, 13 th Edition

Numbering Systems • Positional notation – A system of expressing numbers in which the

Numbering Systems • Positional notation – A system of expressing numbers in which the digits are arranged in succession, the position of each digit has a place value, and the number is equal to the sum of the products of each digit by its place value. • Determination of a number require the following : – The digits or symbols; – The positional of the digit in the number; – The base of the number system. Understanding Computers: Today and Tomorrow, 13 th Edition

Numbering Systems • Base ( radix ) – The base of a number system

Numbering Systems • Base ( radix ) – The base of a number system is simply the number of different digits, including zero that exist in the number system. – A number system of radix r, typically has a set of r allowed digits belongs to {0, 1, …, r-1} • We write a number N in the number system of radix r by expressing it in the form (N)r or Nr – (12)10 1 and 2 are digits in base 10, 325 2 and 3 are digits in base 5 i. e. , belongs to {0, 1, . . , 4} Understanding Computers: Today and Tomorrow, 13 th Edition

Numbering Systems • a radix point is the symbol used in numerical representations to

Numbering Systems • a radix point is the symbol used in numerical representations to separate the integer part of a number (to the left of the radix point) from its fractional part (to the right of the radix point). – Ex. 13. 62510, • 13 is the integer to the left of the radix point, and • 625 (i. e. 625/1000) is the fractional part to the right. Understanding Computers: Today and Tomorrow, 13 th Edition

Understanding Decimal Numbers • The numbering system we commonly use called the decimal numbering

Understanding Decimal Numbers • The numbering system we commonly use called the decimal numbering system because it uses 10 digits - symbols - (0, 1, 2, …, 9) to represent all possible numbers. • Why do we use 10 digits, anyway? • Numbers greater than nine such as 7216 represented using combination of these 10 digits. Understanding Computers: Today and Tomorrow, 13 th Edition

Understanding Decimal Numbers • • • Decimal numbers are made of decimal digits: (0,

Understanding Decimal Numbers • • • Decimal numbers are made of decimal digits: (0, 1, 2, 3, 4, 5, 6, 7, 8, 9) But how many items does a decimal number represent? – 8653 = 8 x 103 + 6 x 102 + 5 x 101 + 3 x 100 What about fractions? – 97654. 35 = 9 x 104 + 7 x 103 + 6 x 102 + 5 x 101 + 4 x 100 + 3 x 10 -1 + 5 x 10 -2 – In formal notation -> (97654. 35)10 Understanding Computers: Today and Tomorrow, 13 th Edition

Understanding Computers: Today and Tomorrow, 13 th Edition

Understanding Computers: Today and Tomorrow, 13 th Edition

Understanding Octal Numbers • • Octal numbers are made of octal digits: (0, 1,

Understanding Octal Numbers • • Octal numbers are made of octal digits: (0, 1, 2, 3, 4, 5, 6, 7) How many items does an octal number represent? – (4536)8 = 4 x 83 + 5 x 82 + 3 x 81 + 6 x 80 = (1362)10 What about fractions? – (465. 27)8 = 4 x 82 + 6 x 81 + 5 x 80 + 2 x 8 -1 + 7 x 8 -2 Octal numbers don’t use digits 8 or 9 Understanding Computers: Today and Tomorrow, 13 th Edition

Understanding Binary Numbers • • • Binary numbers are made of binary digits (bits):

Understanding Binary Numbers • • • Binary numbers are made of binary digits (bits): – 0 and 1 How many items does an binary number represent? – (1011)2 = 1 x 23 + 0 x 22 + 1 x 21 + 1 x 20 = (11)10 What about fractions? – (110. 10)2 = 1 x 22 + 1 x 21 + 0 x 20 + 1 x 2 -1 + 0 x 2 -2 Understanding Computers: Today and Tomorrow, 13 th Edition

Understanding Computers: Today and Tomorrow, 13 th Edition

Understanding Computers: Today and Tomorrow, 13 th Edition

Understanding Hexadecimal Numbers • • • Hexadecimal numbers are made of 16 digits: –

Understanding Hexadecimal Numbers • • • Hexadecimal numbers are made of 16 digits: – (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F) How many items does an hex number represent? – (3 A 9 F)16 = 3 x 163 + 10 x 162 + 9 x 161 + 15 x 160 = 1499910 What about fractions? – (2 D 3. 5)16 = 2 x 162 + 13 x 161 + 3 x 160 + 5 x 16 -1 = 723. 312510 Note that each hexadecimal digit can be represented with four bits. – (1110) 2 = (E)16 Groups of four bits are called a nibble. – (1110) 2 Understanding Computers: Today and Tomorrow, 13 th Edition

Representing Numerical Data • Least Significant Digit (LSD) is the right most digit has

Representing Numerical Data • Least Significant Digit (LSD) is the right most digit has the lowest value • Most Significant Digit (MSD) is the left most digit has the highest value • The most significant symbol can not be zero Example: Show the value of the number (9375)10 is estimated position Weight Digit Value 3 2 1 0 103 102 101 100 9 3 7 5 9 x 1000 3 x 100 7 x 10 5 x 1 5 is the least significant digit (LSD) 9 is the most significant digit (MSD) Understanding Computers: Today and Tomorrow, 13 th Edition 9375

Representing Numerical Data Commonly used numbering systems A. Decimal number system base =10, Ten

Representing Numerical Data Commonly used numbering systems A. Decimal number system base =10, Ten allowed digits{0, 1, …, 9} B. Binary number system base= 2, Two allowed digits {0, 1} A. A Binary digit is referred to as Bit B. Most significant Bit (MSB) is the leftmost bit has the highest value C. Least significant Bit (LSB) is the rightmost bit has the lowest value C. Octal number system base =8, Eight allowed digits {0, 1, 2, …, 7} D. Hexadecimal number system base = 16, Sixteen allowed digits {0, 1, …, 9, A, B, C, D, E, F} Where, A= ten , B= eleven, C=Twelve, D= thirteen, E=fourteen, F= fifteen Q. Why is the digit following 9 assigned the character A not 10 ? Understanding Computers: Today and Tomorrow, 13 th Edition

Check point Q. What is the largest value can be represented in three integral

Check point Q. What is the largest value can be represented in three integral digits? ------------------------------For the decimal system, it is (- - - )10 For the octal system, it is (- - - )8 For the hex system, it is (- - - )16 For the binary system, it is (- - - )2 ------------------------------Hint (The largest value results when all 3 positions are filled with the largest digit in the number system) Answer • • For the decimal system, it is ( 999 )10 For the octal system, it is ( 777 )8 For the hex system, it is ( fff )16 For the binary system, it is ( 111 )2 Understanding Computers: Today and Tomorrow, 13 th Edition

Conversion Between Number Bases Octal(base 8) Decimal(base 10) Binary(base 2) Hexadecimal (base 16) °

Conversion Between Number Bases Octal(base 8) Decimal(base 10) Binary(base 2) Hexadecimal (base 16) ° Learn to convert between bases. Understanding Computers: Today and Tomorrow, 13 th Edition

Representing Numerical Data Converting between numbering systems 1. Converting from decimal to any base

Representing Numerical Data Converting between numbering systems 1. Converting from decimal to any base 2. Converting from any base to decimal 3. Converting from any base to any base 4. A special conversion case number bases that are related (Shortcut method to/from binary ) Understanding Computers: Today and Tomorrow, 13 th Edition

Convert an Integer from Decimal to Another Base For each digit position: 1. Divide

Convert an Integer from Decimal to Another Base For each digit position: 1. Divide decimal number by the base (e. g. 2) 2. The remainder is the lowest-order digit 3. Repeat first two steps until no divisor remains. Example for (13)10: Integer Remainder Quotient Coefficient 13/2 = 6 + ½ a 0 = 1 6/2 = 3 + 0 a 1 = 0 3/2 = 1 + ½ a 2 = 1 1/2 = 0 + ½ a 3 = 1 Answer (13)10 = (a 3 a 2 a 1 a 0)2 = (1101)2 Understanding Computers: Today and Tomorrow, 13 th Edition LSB MSB

Repeated Division-by-r § To convert a whole number to the new base r, use

Repeated Division-by-r § To convert a whole number to the new base r, use successive division by r until the quotient is 0. The remainders form the answer, with the first remainder as LSB or LSD and the last as MSB or MSD. Example: (43)10 = (? )2 (43)10 = (101011)2 Understanding Computers: Today and Tomorrow, 13 th Edition

Convert an Fraction from Decimal to Another Base For each digit position: 1. Multiply

Convert an Fraction from Decimal to Another Base For each digit position: 1. Multiply decimal number by the base (e. g. 2) 2. The integer is the highest-order digit 3. Repeat first two steps until fraction becomes zero. Example for (0. 625)10: Integer Fraction Coefficient 0. 625 x 2 = 1 + 0. 25 a -1 = 1 0. 250 x 2 = 0 + 0. 50 a -2 = 0 0. 500 x 2 = 1 + 0 a -3 = 1 Answer (0. 625) 10 = (0. a-1 a-2 a-3 )2 = (0. 101)2 Understanding Computers: Today and Tomorrow, 13 th Edition MSB LSB

Repeated Multiplication-by-r § To convert decimal fractions to binary, repeated multiplication by r is

Repeated Multiplication-by-r § To convert decimal fractions to binary, repeated multiplication by r is used, until the fractional product is 0 (or until the desired number of digits of accuracy obtained). The carried digits, or carries, produce the answer, with the first carry as the MSB or MSD, and the last as the LSB or MSD. Example: (0. 3125)10 = (. 0101)2 Understanding Computers: Today and Tomorrow, 13 th Edition

Note For a number that has both integral and fractional parts, • conversion is

Note For a number that has both integral and fractional parts, • conversion is done separately for both parts, and • then the result is put together with a system point in between both parts. Understanding Computers: Today and Tomorrow, 13 th Edition

2 -Any base r-to-Decimal Conversion • • Base-r to decimal: multiply digits with their

2 -Any base r-to-Decimal Conversion • • Base-r to decimal: multiply digits with their corresponding weights. Examples § (1101. 101)2 = 1 23 + 1 22 + 1 20 + 1 2 -1 + 1 2 -3 = 8 + 4 + 1 + 0. 5 + 0. 125 = (13. 625)10 § (572. 6)8 = 5 82 + 7 81 + 2 80 + 6 8 -1 = 320 + 56 + 2 + 0. 75 = (378. 75) 10 § Convert 3 b 216 to decimal. N = 3*162 + 11*161 + 2*160 = 94610 § Convert 3708 to decimal. N = 3*82 + 7*81 + 0*80 = 192 + 56 + 0 = 24810 Understanding Computers: Today and Tomorrow, 13 th Edition

3 -Conversion between Bases § In general, conversion between bases can be done via

3 -Conversion between Bases § In general, conversion between bases can be done via decimal: Base-2 Base-3 Base-4 … Base-R Decimal Base-2 Base-3 Base-4 …. Base-R § First convert given number to decimal then convert decimal number to the new base. Understanding Computers: Today and Tomorrow, 13 th Edition

Converting Between Base 16 and Base 2 3 A 9 F 16 = 0011

Converting Between Base 16 and Base 2 3 A 9 F 16 = 0011 1010 1001 11112 3 ° A 9 F Conversion is easy! Ø Determine 4 -bit value for each hex digit ° Note that there are 24 = 16 different values of four bits ° Easier to read and write in hexadecimal. ° Representations are equivalent! Understanding Computers: Today and Tomorrow, 13 th Edition

Converting Between Base 16 and Base 8 3 A 9 F 16 = 0011

Converting Between Base 16 and Base 8 3 A 9 F 16 = 0011 1010 1001 11112 3 A 9 F 352378 = 011 101 010 011 1112 3 5 2 3 7 1. Convert from Base 16 to Base 2 2. Regroup bits into groups of three starting from right 3. Ignore leading zeros 4. Each group of three bits forms an octal digit. Understanding Computers: Today and Tomorrow, 13 th Edition

A special conversion case number bases that are related (Shortcut method to/from binary )

A special conversion case number bases that are related (Shortcut method to/from binary ) • Grouping of several digits in the smaller number base corresponds exactly to single digit in the larger number base • Examples § Binary Octal: Partition in groups of 3 (10 111 001. 101 110)2 = (2731. 56)8 § Octal Binary: reverse (2731. 56)8 = (10 111 001. 101 110)2 § Binary Hexadecimal: Partition in groups of 4 (101 1001. 1011 1000)2 = (5 D 9. B 8)16 § Hexadecimal Binary: reverse (5 D 9. B 8)16 = (101 1001. 1011 1000)2 Understanding Computers: Today and Tomorrow, 13 th Edition

Arithmetic operation on numbering systems • • Addition Subtraction Multiplication division Understanding Computers: Today

Arithmetic operation on numbering systems • • Addition Subtraction Multiplication division Understanding Computers: Today and Tomorrow, 13 th Edition

Decimal Addition Example Add 3758 to 4657: 111 3 7 5 8 + 4657

Decimal Addition Example Add 3758 to 4657: 111 3 7 5 8 + 4657 8 415 1) Add 8 + 7 = 15 Write down 5, carry 1 2) Add 5 + 1 = 11 Write down 1, carry 1 3) Add 7 + 6 + 1 = 14 Write down 4, carry 1 4) Add 3 + 4 + 1 = 8 Write down 8 Understanding Computers: Today and Tomorrow, 13 th Edition 33

Decimal Addition Explanation 1 1 1 3 7 5 8 What just happened? 1

Decimal Addition Explanation 1 1 1 3 7 5 8 What just happened? 1 1 1 (carry) 3 7 5 8 + 4 6 5 7 8 4 1 5 + 4 6 5 7 8 14 11 15 (sum) 10 10 10 (subtract the base) 8 4 1 5 So when the sum of a column is equal to or greater than the base, we subtract the base from the sum, record the difference, and carry one to the next column to the left. Understanding Computers: Today and Tomorrow, 13 th Edition 34

Binary Addition Rules: – 0 + 0 = 0 – 0 + 1 =

Binary Addition Rules: – 0 + 0 = 0 – 0 + 1 = 1 – 1 + 0 = 1 (just like in decimal) n 1 + 1 = 210 = 102 = 0 with 1 to carry n 1 + 1 = 310 = 112 = 1 with 1 to carry Understanding Computers: Today and Tomorrow, 13 th Edition 35

Binary Addition Example 1: Add binary 110111 to 11100 1 1 + 1 1

Binary Addition Example 1: Add binary 110111 to 11100 1 1 + 1 1 0 1 1 1 0 0 1 1 Col 1) Add 1 + 0 = 1 Write 1 Col 2) Add 1 + 0 = 1 Write 1 Col 3) Add 1 + 1 = 2 (10 in binary) Write 0, carry 1 Col 4) Add 1+ 0 + 1 = 2 Write 0, carry 1 Col 5) Add 1 + 1 = 3 (11 in binary) Write 1, carry 1 Col 6) Add 1 + 0 = 2 Write 0, carry 1 Col 7) Bring down the carried 1 Write 1 Understanding Computers: Today and Tomorrow, 13 th Edition 36

Binary Addition Explanation What is actually happened when we carried in binary? In the

Binary Addition Explanation What is actually happened when we carried in binary? In the first two columns, there were no carries. In column 3, we add 1 + 1 = 2 Since 2 is equal to the base, subtract the base from the sum and carry 1. 11 1 1 + 1 1 0 1 1 1 0 0 2 3 2 2 - 2 2 In column 4, we also subtract the base from the sum and carry 1. . 1 0 0 1 1 In column 5, we also subtract the base from the sum and carry 1. In column 6, we also subtract the base from the sum and carry 1. In column 7, we just bring down the carried 1 Understanding Computers: Today and Tomorrow, 13 th Edition 37

Binary Addition Verification You can always check your answer by converting the figures to

Binary Addition Verification You can always check your answer by converting the figures to decimal, doing the addition, and comparing the answers. + 1 1 0 1 1 1 0 0 Verification 1101112 5510 +0111002 + 2810 8310 64 32 16 8 4 2 1 1 0 0 1 1 = 64 + 16 + 2 +1 = 8310 1 0 0 1 1 Understanding Computers: Today and Tomorrow, 13 th Edition 38

Binary Addition Example 2: Add 1111 to 111010. 1 1 1 + 1 1

Binary Addition Example 2: Add 1111 to 111010. 1 1 1 + 1 1 1 0 0 0 1 1 Verification 1110102 5810 +0011112 + 1510 7310 64 32 16 8 4 2 1 1 0 0 1 0 0 1 = 64 + 8 +1 = 7310 1 0 0 1 Understanding Computers: Today and Tomorrow, 13 th Edition 39

Decimal Subtraction Example (Borrow method) Subtract 4657 from 8025: 7 9 11 8 -

Decimal Subtraction Example (Borrow method) Subtract 4657 from 8025: 7 9 11 8 - 4 10 6 2 5 15 7 3 3 6 8 1) Try to subtract 5 – 7 can’t. Must borrow 10 from next column. Add the borrowed 10 to the original 5. Then subtract 15 – 7 = 8. 2) Try to subtract 1 – 5 can’t. Must borrow 10 from next column. But next column is 0, so must go to column after next to borrow. Add the borrowed 10 to the original 0. Now you can borrow 10 from this column. Add the borrowed 10 to the original 1. . Then subract 11 – 5 = 6 3) Subtract 9 – 6 = 3 4) Subtract 7 – 4 = 3 Understanding Computers: Today and Tomorrow, 13 th Edition 40

Decimal Subtraction Explanation 8 0 - 4 6 3 3 2 5 5 7

Decimal Subtraction Explanation 8 0 - 4 6 3 3 2 5 5 7 6 8 §So when you cannot subtract, you borrow from the column to the left. §The amount borrowed is 1 base unit, which in decimal is 10. §The 10 is added to the original column value, so you will be able to subtract. Understanding Computers: Today and Tomorrow, 13 th Edition 41

Binary Subtraction Example 1: Subtract binary 11100 from 110011 2 1 0 0 2

Binary Subtraction Example 1: Subtract binary 11100 from 110011 2 1 0 0 2 2 - 1 1 0 0 1 01 1 1 Col 1) Subtract 1 – 0 = 1 Col 2) Subtract 1 – 0 = 1 Col 3) Try to subtract 0 – 1 can’t. Must borrow 2 from next column. But next column is 0, so must go to column after next to borrow. Add the borrowed 2 to the 0 on the right. Now you can borrow from this column (leaving 1 remaining). Add the borrowed 2 to the original 0. Then subtract 2 – 1 = 1 Col 4) Subtract 1 – 1 = 0 Col 5) Try to subtract 0 – 1 can’t. Must borrow from next column. Add the borrowed 2 to the remaining 0. Then subtract 2 – 1 = 1 Col 6) Remaining leading 0 can be ignored. Understanding Computers: Today and Tomorrow, 13 th Edition 42

Binary Subtraction Verification Subtract binary 11100 from 110011: 2 1 0 0 2 2

Binary Subtraction Verification Subtract binary 11100 from 110011: 2 1 0 0 2 2 - 1 1 0 0 1 1 1 0 0 Verification 1100112 5110 - 111002 - 2810 2310 64 32 16 8 4 2 1 0 1 1 1 = 16 + 4 + 2 + 1 = 2310 1 01 1 1 Understanding Computers: Today and Tomorrow, 13 th Edition 43

 • Note X = (1151)10 , y = (1102)10 which one is greater

• Note X = (1151)10 , y = (1102)10 which one is greater than the other ? Ans. Compare each digit from left to right digit 1 in x = digit 1 in y goto the next digit 2 in x = digit 2 in y goto the next digit 3 in x > digit 3 in y stop x greater than y Quiz: (110101)2 , (11001)2 which one is greater than the other ? Understanding Computers: Today and Tomorrow, 13 th Edition 44

Binary multiplication • Binary multiplication uses the same technique as decimal multiplication. • Example:

Binary multiplication • Binary multiplication uses the same technique as decimal multiplication. • Example: multiplying 1102 by 102. 110 x 10 ---- 000 + 110 -------1100 6 x 2 -----12 Understanding Computers: Today and Tomorrow, 13 th Edition 45

Division • Division rule – Set quotient to zero – Repeat while dividend is

Division • Division rule – Set quotient to zero – Repeat while dividend is greater than or equal to divisor • Subtract divisor from dividend • Add 1 to quotient – End of repeat block – quotient is correct, dividend is remainder – STOP Understanding Computers: Today and Tomorrow, 13 th Edition 46

Binary division • Division as repeated subtraction Example in decimal 84 ÷ 21 =

Binary division • Division as repeated subtraction Example in decimal 84 ÷ 21 = ? ? I subtracted 21 four times, 84 − 21 so 84 ÷ 21 = 4 ------ 63 − 21 ------- 42 − 21 ----- 21 − 21 ------- 0 Understanding Computers: Today and Tomorrow, 13 th Edition 1 1 ---4 47

 • Example: Find 1100 ÷ 0101 quotient • Ans. 0 1100 - 0101

• Example: Find 1100 ÷ 0101 quotient • Ans. 0 1100 - 0101 = 111 -101= 010 1 1 ----2 Hence result is 2 and with remainder 2 ( (10)2 ) Understanding Computers: Today and Tomorrow, 13 th Edition 48

ONE’S COMPLEMENT AND TWO’S COMPLEMENT REPRESENTATIONS Understanding Computers: Today and Tomorrow, 13 th Edition

ONE’S COMPLEMENT AND TWO’S COMPLEMENT REPRESENTATIONS Understanding Computers: Today and Tomorrow, 13 th Edition

One’s Complement Representation • The one’s complement of a binary number involves inverting all

One’s Complement Representation • The one’s complement of a binary number involves inverting all bits. • 1’s comp of 0011 is 1100 • 1’s comp of 1010 is 0101 Understanding Computers: Today and Tomorrow, 13 th Edition

Two’s Complement • Algorithm 1 – Simply complement each bit and then add 1

Two’s Complement • Algorithm 1 – Simply complement each bit and then add 1 to the result. – Finding the 2’s complement of (01100101)2 and of its 2’s complement… N = 01100101 [N] = 10011011 10011010 01100100 + 1 -------- 10011011 01100101 Understanding Computers: Today and Tomorrow, 13 th Edition

Two’s Complement Representation Algorithm 2 – Starting with the least significant bit, copy all

Two’s Complement Representation Algorithm 2 – Starting with the least significant bit, copy all of the bits up to and including the first 1 bit and then complementing the remaining bits. N = 0 1 1 0 0 1 [N] = 1 0 0 1 1 Understanding Computers: Today and Tomorrow, 13 th Edition

LOGICAL OPERATION ON BINARY Understanding Computers: Today and Tomorrow, 13 th Edition

LOGICAL OPERATION ON BINARY Understanding Computers: Today and Tomorrow, 13 th Edition

Logical OR Rules OR Operations • OR Results in 1 if either or both

Logical OR Rules OR Operations • OR Results in 1 if either or both of the operands are 1. • OR Table 0 OR 0 = 0 0 OR 1 = 1 1 OR 0 = 1 1 OR 1 = 1 Understanding Computers: Today and Tomorrow, 13 th Edition 54

Logical OR Operation To perform the OR operation, take one column at a time

Logical OR Operation To perform the OR operation, take one column at a time and perform the OR operation using the OR table. Ex 1: 1 0 0 1 1 OR 0 0 1 1 1 Understanding Computers: Today and Tomorrow, 13 th Edition 55

Logical XOR Rules XOR Operations • The exclusive OR. Similar to OR except that

Logical XOR Rules XOR Operations • The exclusive OR. Similar to OR except that it now gives 0 when both its operands are 1. Rules. 0 XOR 0 = 0 0 XOR 1 = 1 1 XOR 0 = 1 1 XOR 1 = 0 Understanding Computers: Today and Tomorrow, 13 th Edition 56

Logical XOR Examples Ex 1: 1 0 0 1 XOR 0 0 1 1

Logical XOR Examples Ex 1: 1 0 0 1 XOR 0 0 1 1 1 0 0 1 1 0 Ex 2: 0 1 1 1 XOR 0 0 1 0 0 1 Understanding Computers: Today and Tomorrow, 13 th Edition 57

Logical AND Rules AND Operations • AND yields 1 only if both its operands

Logical AND Rules AND Operations • AND yields 1 only if both its operands are 1. Rules. 0 AND 0 = 0 0 AND 1 = 0 1 AND 0 = 0 1 AND 1 = 1 Understanding Computers: Today and Tomorrow, 13 th Edition

Logical AND Examples Ex 1: 1 1 0 0 1 1 AND 0 0

Logical AND Examples Ex 1: 1 1 0 0 1 1 AND 0 0 1 1 0 0 0 1 1 Ex 2: 0 1 1 1 AND 1 0 0 1 0 0 0 1 Understanding Computers: Today and Tomorrow, 13 th Edition

Logical NOT Operations • NOT is a separate operator flipping the bits. Rules. NOT

Logical NOT Operations • NOT is a separate operator flipping the bits. Rules. NOT 0 = 1 NOT 1 = 0 Example. NOT 1 0 = 0 1 Understanding Computers: Today and Tomorrow, 13 th Edition

THANK YOU Understanding Computers: Today and Tomorrow, 13 th Edition

THANK YOU Understanding Computers: Today and Tomorrow, 13 th Edition