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    Digital Design

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    Question: Why are commercial products made with digital circuits as opposed to analog? Most digital devices are programmable: By changing the program in the device‚ the same underlying hardware can be used for many different applications. Decimal Code 4 Review the decimal number system. Base (Radix) is 10 - symbols (0‚1‚ . . 9) Digits For Numbers > 9‚ add more significant digits in position to the left‚ e.g. 19>9. Each position carries a weight. MSD Weights: ü 103 102 101 100 10−110−2 10−3 LSD If we

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    Number System Tutorial

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    NUMBER SYSTEMS TUTORIAL Courtesy of: thevbprogrammer.com Number Systems Number Systems Concepts The study of number systems is useful to the student of computing due to the fact that number systems other than the familiar decimal (base 10) number system are used in the computer field. Digital computers internally use the binary (base 2) number system to represent data and perform arithmetic calculations. The binary number system is very efficient for computers‚ but not for humans. Representing

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    Number Conversions

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    the decimal number 125 into binary. Use the division-by-two method shown in the following example. 125 /2 = 62 r=1 62 /2 = 31 r=0 31 /2 = 15 r=1 15 /2 = 7 r=1 7 /2 = 3 r=1 3 /2 = 1 r=1 1 /2 = 0 r=1 01111101 2.Convert your binary result back into decimal to prove your answer is correct. This is also shown in the following example. Weights = 128 64 32 16 8 4 2 1 Bits = 0 1 1 1 1 1 0 1 64 + 32 + 16 + 8 + 4 + 1 = 125 Task 2: Procedure 1.Convert the binary number 10101101 into decimal. Use

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    Labs 1.1-1.4

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    Homework Labs 1.1 - 1.4 Thursday 8:30-12:30 6/25/2013 Exercise 1.1 Base 10 Mapping for decimal number 2931 10^3 10^2 10^1 10^0 2 9 3 1 2x1000=2000 + 9x100=900 + 3x10=30 + 1x1=1 = 2931 Exercise 1.1.2 Mapping for binary number 110 base 2 4 2 1 * * * 1 1 0 = = = 4 + 2 + 0= 6 Exercise 1.1.3 Mapping for binary number 11 base 2 2 1 * * 1 1 = = 2 + 1= 3 Exercise 1.1.4 Mapping for binary number 10010 base 2

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    Numeral System

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    numbers‚ that is‚ a mathematical notation for representing numbers of a given set‚ using digits or other symbols in a consistent manner. It can be seen as the context that allows the symbols "11" to be interpreted as the binary symbol for three‚ the decimal symbol for eleven‚ or a symbol for other numbers in different bases. Ideally‚ a numeral system will: * Represent a useful set of numbers (e.g. all integers‚ or rational numbers) * Give every number represented a unique representation (or

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    engineering mathematic

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    1 Engineering Mathematics 1 (AQB10102) CHAPTER 1: NUMBERS AND ARITHMETIC 1.1 TYPE OF NUMBERS NEGATIVE INTEGER - POSITIVE AND REAL NUMBERS (R) • • Numbers that can be expressed as decimals Real Number System: • Consist of positive and negative natural numbers including 0 Example: …‚ -5‚ -4‚ -3‚ -2‚ -1‚ 0‚ 1‚ 2‚ 3‚ 4‚ 5‚ … • All numbers including natural numbers‚ whole numbers‚ integers‚ rational numbers and irrational numbers are real numbers Example: 4 = 4

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    NT1110

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    computer math with computer hardware and systems. Some of these concepts are bits versus bytes‚ binary versus decimal‚ Boolean operators‚ hertz‚ and data transfer. The chapter two also shows numbering systems used in computers. These are some importance skills that will help you in the computer field.  Thirty plus years ago‚ the first personal computer terms such as bits‚ bytes‚ decimal‚ binary‚ and hexadecimal have come part of the common language‚ but these terms are not always used correctly

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    Stats Study Guide

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    percentile (C) What proportion of 20-29 year old females are between 59.8 and 70 inches tall? (round to 4 decimal places as needed) 3. Suppose the lengths of the pregnancies of a certain animal are approximately normally distributed with the mean of 247 days and standard deviation of 20 days. (A) What is the probability that a randomly selected pregnancy lasts less than 241 days? (round to 4 decimal places) (B) What is the probability that a random sample of 29 pregnancies has a mean gestation period

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    NT1210 Unit Lab 1

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    1 2000 +900 +30 +1 Decimal # 2931 Exercise 1.1.2 22 21 20 4 2 1 1 1 0 4 +2 0 Decimal # 6 Binary # 1102 Exercise 1.1.3 21 20 2 1 1 1 2 +1 Binary # 112 Decimal # 3 Exercise 1.1.4 24 23 22 21 20 16 8 4 2 1 1 0 0 1 0 16 0 0 +2 0 Decimal # 18 Binary# 100102 Exercise 1.1.5 27 26 25 24 23 22 21 20 128 64 32 16 8 4 2 1 1 1 1 0 0 0 1 0 128 +64 +32 0 0 0 +2 0 Binary# 111000102 Decimal# 226 Exercise 1.1.6 156

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    Numerical Precision

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    difficulty of manipulating and using floating point numbers in c calculations There are two reasons why a real number might not be exactly represented as a floating-point number. The most common situation is illustrated by the decimal number 0.1. Although it has a finite decimal representation‚ in binary it has an infinite repeating representation. Thus when β = 2‚ the number 0.1 lies strictly between two floating-point numbers and is exactly represented by neither of them (Cleve Moler). Floating-point

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