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Binary numbers, bits, and Boolean operations CSC 2001
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Overview sections 1.1, 1.5 bits binary (base 2 numbers) conversion to and from addition Boolean logic sections 1.1, 1.5 bits binary (base 2 numbers) conversion to and from addition Boolean logic
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“Bits” of information binary digits 0 or 1 why? not necessarily intuitive, but… easy (on/off) powerful (more in a later lecture) binary digits 0 or 1 why? not necessarily intuitive, but… easy (on/off) powerful (more in a later lecture)
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Number bases When we see that number 10, we naturally assume it refers to the value ten. So, when we read this… There are 10 kinds of people in this world: those who understand binary, and those who don't. It might seem a little confusing. When we see that number 10, we naturally assume it refers to the value ten. So, when we read this… There are 10 kinds of people in this world: those who understand binary, and those who don't. It might seem a little confusing.
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Number bases In the world today, pretty much everyone assumes numbers are written in base ten. Originated in India This cultural norm is very useful! But 10 does not necessarily mean ten. What it really means is… (1 x n 1 ) + (0 x n 0 ), where n is our base or our number system. In the world today, pretty much everyone assumes numbers are written in base ten. Originated in India This cultural norm is very useful! But 10 does not necessarily mean ten. What it really means is… (1 x n 1 ) + (0 x n 0 ), where n is our base or our number system.
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Base ten (decimal) So in base ten, we’ll set n = ten. Thus… 10 = (1 x n 1 ) + (0 x n 0 ) = (1 x ten 1 ) + (0 x ten 0 ) = (1 x ten) + (0 x one) = ten So in base ten, we’ll set n = ten. Thus… 10 = (1 x n 1 ) + (0 x n 0 ) = (1 x ten 1 ) + (0 x ten 0 ) = (1 x ten) + (0 x one) = ten
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Base ten (decimal) 527 = (5 x ten 2 ) + (2 x ten 1 ) + (7 x ten 0 ) = (5 x one hundred) + (2 x ten) + (7 x one) = five hundred and twenty seven 527 = (5 x ten 2 ) + (2 x ten 1 ) + (7 x ten 0 ) = (5 x one hundred) + (2 x ten) + (7 x one) = five hundred and twenty seven
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Other bases In computer science, we’ll see that base 2, base 8, and base 16 are all useful. Do we ever work in something other than base 10 in our everyday life? In computer science, we’ll see that base 2, base 8, and base 16 are all useful. Do we ever work in something other than base 10 in our everyday life?
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Other bases Base twelve Sumerian? smallest number divisible by 2, 3, & 4 time, astrology/calendar, shilling, dozen/gross, foot 10 (base twelve) = 12 (base ten) [12 + 0] 527 (base twelve) = 751 (base ten) [(5x144) + (2x12) + (7x1)] Base twelve Sumerian? smallest number divisible by 2, 3, & 4 time, astrology/calendar, shilling, dozen/gross, foot 10 (base twelve) = 12 (base ten) [12 + 0] 527 (base twelve) = 751 (base ten) [(5x144) + (2x12) + (7x1)]
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Other bases Base sixty Babylonians smallest number divisible by 2, 3, 4, & 5 time (minutes, seconds), latitude/longitude, angle/trigonometry 10 (base sixty) = 60 (base ten) [60 + 0] 527 (base sixty) = 18,127 (base ten) [(5x60 2 ) + (2x60) + 7 = (5x3600) + 120 + 7] Base sixty Babylonians smallest number divisible by 2, 3, 4, & 5 time (minutes, seconds), latitude/longitude, angle/trigonometry 10 (base sixty) = 60 (base ten) [60 + 0] 527 (base sixty) = 18,127 (base ten) [(5x60 2 ) + (2x60) + 7 = (5x3600) + 120 + 7]
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Base two (binary) Just like the other bases… number abc = (a x two 2 ) + (b x two 1 ) + (c x two 0 ) = (a x 4) + (b x 2) + (c x 1) So.. There are 10 kinds of people in this world: those who understand binary, and those who don't. means there are 2 kinds of people (1x2 + 0x1) Just like the other bases… number abc = (a x two 2 ) + (b x two 1 ) + (c x two 0 ) = (a x 4) + (b x 2) + (c x 1) So.. There are 10 kinds of people in this world: those who understand binary, and those who don't. means there are 2 kinds of people (1x2 + 0x1)
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binary -> decimal practice 11 1010 1000001111 11 1010 1000001111
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Answers 11 = (1x2) + (1x1) = 3 1010 = (1x2 3 )+(0x2 2 )+(1x2)+(0x1) = 8 + 0 + 2 + 0 = 10 1000001111 = (1x2 9 ) + (1x2 3 ) + (1x2 2 ) + (1x2) + (1x1) = 512 + 8 + 4 + 2 + 1 = 527 11 = (1x2) + (1x1) = 3 1010 = (1x2 3 )+(0x2 2 )+(1x2)+(0x1) = 8 + 0 + 2 + 0 = 10 1000001111 = (1x2 9 ) + (1x2 3 ) + (1x2 2 ) + (1x2) + (1x1) = 512 + 8 + 4 + 2 + 1 = 527
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Powers of two 2 0 = 1 2 1 = 2 2 2 = 4 2 3 = 8 2 4 = 16 2 5 = 32 2 0 = 1 2 1 = 2 2 2 = 4 2 3 = 8 2 4 = 16 2 5 = 32 2 6 = 64 2 7 = 128 2 8 = 256 2 9 = 512 2 10 = 1024
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decimal -> binary Algorithm (p. 42) figure 1.17 Step 1: Divide the value by two and record the remainder Step 2: As long as the quotient obtained is not zero, continue to divide the newest quotient by two and record the remainder Step 3: Now that a quotient of zero has been obtained, the binary representation of the original value consists of the remainders written from right to left in the order they were recorded. Algorithm (p. 42) figure 1.17 Step 1: Divide the value by two and record the remainder Step 2: As long as the quotient obtained is not zero, continue to divide the newest quotient by two and record the remainder Step 3: Now that a quotient of zero has been obtained, the binary representation of the original value consists of the remainders written from right to left in the order they were recorded.
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Example 1: 13 (base ten) = ?? (base 2) Step 1: Divide the value by two and record the remainder 13/2 = 6 (remainder of 1)1 13 (base ten) = ?? (base 2) Step 1: Divide the value by two and record the remainder 13/2 = 6 (remainder of 1)1
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Example 1: 13 (base ten) = ?? (base 2) 13/2 = 6 (remainder of 1)1 Step 2: As long as the quotient obtained is not zero, continue to divide the newest quotient by two and record the remainder 6/2 = 3 (remainder of 0)0 3/2 = 1 (remainder of 1)1 1/2 = 0 (remainder of 1)1 13 (base ten) = ?? (base 2) 13/2 = 6 (remainder of 1)1 Step 2: As long as the quotient obtained is not zero, continue to divide the newest quotient by two and record the remainder 6/2 = 3 (remainder of 0)0 3/2 = 1 (remainder of 1)1 1/2 = 0 (remainder of 1)1
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Example 1: 13 (base ten) = ?? (base 2) 13/2 = 6 (remainder of 1)1 6/2 = 3 (remainder of 0)0 3/2 = 1 (remainder of 1)1 1/0 = 0 (remainder of 1)1 Step 3: Now that a quotient of zero has been obtained, the binary representation of the original value consists of the remainders written from right to left in the order they were recorded. 13 (base ten) = ?? (base 2) 13/2 = 6 (remainder of 1)1 6/2 = 3 (remainder of 0)0 3/2 = 1 (remainder of 1)1 1/0 = 0 (remainder of 1)1 Step 3: Now that a quotient of zero has been obtained, the binary representation of the original value consists of the remainders written from right to left in the order they were recorded. 1011
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Example 2: 527 527/2 = 263 r 11 263/2 = 131 r 11 131/2 = 65 r 11 65/2 = 32 r 11 32/2 = 16 r 00 16/2 = 8 r 00 8/2 = 4 r 00 4/2 = 2 r 00 2/2 = 1 r 00 1/2 = 0 r 11 527/2 = 263 r 11 263/2 = 131 r 11 131/2 = 65 r 11 65/2 = 32 r 11 32/2 = 16 r 00 16/2 = 8 r 00 8/2 = 4 r 00 4/2 = 2 r 00 2/2 = 1 r 00 1/2 = 0 r 11 0111110000
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In-class practice 37 18 119 37 18 119
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Answers 37: 37/2=18r1; 18/2=9r0; 9/2=4r1; 4/2=2r0; 2/2=1r0; 1/2=0r1 100101 = 1 + 4 + 32 = 37 18: 18/2=9r0; 9/2=4r1; 4/2=2r0; 2/2=1r0; 1/2=0r1 10010 = 2 + 16 = 18 119: 119/2=59r1; 59/2=29r1; 29/2=14r1; 14/2=7r0; 7/2=3r1; 3/2=1r1; 1/2=0r1 1110111 = 1 + 2 + 4 + 16 + 32 + 64 = 119 37: 37/2=18r1; 18/2=9r0; 9/2=4r1; 4/2=2r0; 2/2=1r0; 1/2=0r1 100101 = 1 + 4 + 32 = 37 18: 18/2=9r0; 9/2=4r1; 4/2=2r0; 2/2=1r0; 1/2=0r1 10010 = 2 + 16 = 18 119: 119/2=59r1; 59/2=29r1; 29/2=14r1; 14/2=7r0; 7/2=3r1; 3/2=1r1; 1/2=0r1 1110111 = 1 + 2 + 4 + 16 + 32 + 64 = 119
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Binary operations Basic functions of a computer Arithmetic Logic Basic functions of a computer Arithmetic Logic
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Binary addition Addition Useful binary addition facts: 0 + 0 = 0 1 + 0 = 1 0 + 1 = 1 1 + 1 = 10 Addition Useful binary addition facts: 0 + 0 = 0 1 + 0 = 1 0 + 1 = 1 1 + 1 = 10
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Example 101011 +011010 101011 +011010 10 1 10 1 0 1 01
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Multiplication and division by 2 Multiply by 2 add a zero on the right side 1 x 10 = 10 10 x 10 = 100 Integer division by 2 (ignore remainder) drop the rightmost digit 100/10 = 10 1000001111/10 = 100000111 (527/2 = 263) Multiply by 2 add a zero on the right side 1 x 10 = 10 10 x 10 = 100 Integer division by 2 (ignore remainder) drop the rightmost digit 100/10 = 10 1000001111/10 = 100000111 (527/2 = 263)
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Binary numbers & logic As we have seen, 1’s and 0’s can be used to represent numbers They can also represent logical values as well. True/False (1/0) George Boole As we have seen, 1’s and 0’s can be used to represent numbers They can also represent logical values as well. True/False (1/0) George Boole
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Logical operations and binary numbers Boolean operators AND OR XOR (exclusive or) NOT Boolean operators AND OR XOR (exclusive or) NOT
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Truth tables ANDFT FFF TFT XORFT FFT TTF ORFT FFT TTT NOTFT -TF ---
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Truth tables (0 = F; 1 = T) AND01 000 101 XOR01 001 110 OR01 001 111 NOT01 -10 ---
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In-class practice (1 AND 0) OR 1 (1 XOR 0) AND (0 AND 1) (1 OR ???) (0 AND ???) (1 AND 0) OR 1 (1 XOR 0) AND (0 AND 1) (1 OR ???) (0 AND ???)
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Answers (1 AND 0) OR 1 = 0 OR 1 = 1 (1 XOR 0) AND (0 AND 1) = 1 AND 0 = 0 (1 OR ???) = 1 (0 AND ???) = 0 (1 AND 0) OR 1 = 0 OR 1 = 1 (1 XOR 0) AND (0 AND 1) = 1 AND 0 = 0 (1 OR ???) = 1 (0 AND ???) = 0
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Summary Binary representation and arithmetic and Boolean logic are fundamental to the way computers operate. Am I constantly performing binary conversions when I program? Absolutely not (actually hardly ever!) But understanding it makes me a better programmer. Am I constantly using Boolean logic when I program? Definitely! A good foundation in logic is very helpful when working with computers. Binary representation and arithmetic and Boolean logic are fundamental to the way computers operate. Am I constantly performing binary conversions when I program? Absolutely not (actually hardly ever!) But understanding it makes me a better programmer. Am I constantly using Boolean logic when I program? Definitely! A good foundation in logic is very helpful when working with computers.
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