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Course: EECS 443, Fall 2009
School: E. Kentucky
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443 EECS - Digital Systems Design Spring Semester, 2009 January 15, 2009 Description Digital systems design is an introduction to design of modern digital hardware systems. Students will learn the basics of RTL design and apply these techniques to the design and implementation of computer systems components. Students will also learn basic VHDL design techniques including simulation and FPGA synthesis. In the...

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E. Kentucky - EECS - 443
EECS 443 Digital Systems DesignHomework 2 Spring 2009RISC processing is based on the principle that a small number of highly efcient operations is more effective than many complex, special purpose instructions. Thus, we need to start thinking abou
E. Kentucky - EECS - 443
EECS 443 Digital Systems DesignHomework 1 Due: January 27, 2009Exercise 1 Design 1-bit, 4-1 multiplexer (MUX) using AND/OR logic. Exercise 2 Using a 1 bit, 4-1 MUX, design a circuit that implements the function in table 1. Exercise 3 Implement the
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EECS 762 - Programming Language Foundation IFall Semester, 2008 DescriptionProgramming Language Foundation I is an introduction to the semantics of programming languages. The course will present modern approaches for dening dynamic and static seman
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A Haskell Companion for &quot;Fold and Unfold for Program Semantics&quot;Uk'taad B'mal The University of Kansas - ITTC 2335 Irving Hill Rd, Lawrence, KS 66045 lambda@ittc.ku.edu June 15, 2004Abstract This document is a primer to accompany the paper &quot;Fold and
E. Kentucky - EECS - 762
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E. Kentucky - EECS - 762
A Haskell Companion for Using catamorphisms, subtypes and monad transformers for writing modular functional interpretersUktaad Bmal The University of Kansas - ITTC 2335 Irving Hill Rd, Lawrence, KS 66045 lambda@ittc.ku.edu March 3, 2004Abstract Thi
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EECS 512 - Electronic Circuits III (Spring `09)MWF 2:00 - 2:50 pmRoom 3154 Learned Hall KU Course # 67607Instructor: Office Hours: Office: Phone: Email: Catalog data:Prof. Ron Hui 1:00- 2:00pm, MWF and by appointment 3026 Eaton Hall or 222 Nich
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More on CI GraphsIn the DEMO of week 9 lab I mentioned an article I found which constructs a graph of confidence intervals, where you can actually see how many of the CIs capture the mean. This is posted in the web site as Cigraph.pdf .I revisited t
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TMME Monograph1, p.119HOW MANY DEATHS? EDUCATION FOR STATISTICAL EMPATHY Swapna Mukhopadhyay1 and Brian Greer Portland State University, USAAbstract In this paper, we suggest the term &quot;statistical empathy&quot; for the ability to relate statistical dat
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TMME Monograph1, p.63UNDERTAKING AN ARCHAEOLOGICAL DIG IN SEARCH OF PEDAGOGICAL RELAY Robyn Zevenbergen1 Griffith University, Australia Steve Flavel Consultant stevef@upnaway.comAbstract: In this paper we discuss a method through which it becomes
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Spring 2009Math 111 MWF(This schedule is tentative and subject to changes.)Sections in the book HomeworkCourse Coordinator: Regina Souza Room Math 104 243-2166 regina.souza@umontana.edu1 2 3 4 5 6 7 8 9 11 12 10 13 14 15 16 17 18 19 20 21 22
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Change of Phase. Physics 214 We will determine the heat of fusion (LF ) of water and the heat of vaporization of water (LV ). Pre-lab assignment: 1. Read these lab instructions carefully. 2. Prepare the rst page of your lab report by writing out the
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LECTURE 2More on heat Phase transformations CalorimetryWe define Q as the heat the system gains from its environmentSince Q is heat gained by the system: Q Q&gt;0 &lt;0Thermal energy is transferred from the environment to the system Thermal ene
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Phys 222 A. WareSpring 2008 Homework 3 SolutionsHRW 20.Q4 (a) The horizontal line, E, is isothermal because t = T0 remains constant. (b) C is isobaric because T V in an iosbaric process. Both the volume and temperature double for C. (c) For an a
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LECTURE 7EntropyChanges in entropy of the Universe lead to irreversible processesEntropy: A measure of the disorder of a systemReversible or not?Macroscopically, entropy is a property of a system and heating causes changes in a systems
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Measuring the Coecient of Linear Expansion for Copper, Steel, and Aluminum. Physics 214 In this lab we will experimentally determine the Coecient of Linear Expansion for Copper, Steel, and Aluminum. Pre-lab assignment: 1. Read these lab instructions
University of Montana - PHYS - 212
Homework KeyChapter 19 Homework Due by Monday, February 9 at the start of class.Physics 222 Spring 2007Physics 212 Spring 2009of length L =1.25.0 m of length open25.0 one end contains air at contains air at A pipe that is L = at m that is ope
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Phys 222 A. Ware HRW 19.2 We just need to use Avogadros number: m = (7.50 1024 atoms)(74.9 g/mol) 1 mol 6.02 1023 atomsSpring 2008 Homework 2 Solutions 1 kg 1000 g= 0.933 kgHRW 19.4 A little fun with the ideal gas law and Avogadros number (No
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Errors and Treatment of DataPhysics 214Introduction This handout is an introduction and discussion of most of the error analysis that you will need for this laboratory course. This rst laboratory focuses on becoming familiar with the material in th
University of Montana - MATH - 444
WHAT YOU NEED TO KNOW - Chapters 1-4.31. Know the basic steps involved in statistical methodology: collecting, summarizing, analyzing, and presenting data. 2. Know how to identify the population and sample in a study, and what the benets and drawbac
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WHAT YOU NEED TO KNOW - Test #3 (Final): Chapters 17-231. Know when to use the binomial model and how to calculate probabilities based on this model. 2. Know the basic assumptions of a binomial experiment. 3. Be able to calculate binomial probabilit
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COGNITIVE PSYCHOLOGY AND MATHEMATICS EDUCATION: REFLECTIONS ON THE PAST AND THE FUTURE1Lyn D. English2 Queensland University of Technology, AustraliaIt has been well over a decade since I wrote the book, Mathematics education: Models and processes
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EDUCATION LAW PRIORITIES AND NEED: A COMPARATIVE ANALYSIS by Michael A. Magone B.A., University of Montana, 1983 J.D., University of Montana, 1988 Dissertation presented in partial fulfillment of the requirements for the degree of Doctor of Education
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ECOSYSTEM ENGINEERING: BEAVER AND THE POPULATION STRUCTURE OF COLUMBIA SPOTTED FROGS IN WESTERN MONTANABy Stephen Joseph Amish B.A., Whitman College, Walla Walla, WA, 1989 Thesis presented in partial fulfillment of the requirements for the degree of
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PRIOR PIDGINIZATION AND CREOLIZATION IN MOROCCAN ARABIC By Kennetta Kathleen Aune B.A in Modern Languages and Literature, Montana State University, Bozeman, Montana, 2003 B.S. in Elementary Education, Montana State University, Bozeman, Montana, 2003
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THE CREATION OF CARGO SCANNER SOFTWARE TO IMPROVE THE CONTAINER PACKING PROCESS By Jonathan Berkey Adams B.S., Liberty University, Lynchburg, Virginia, 2005 Professional Paper presented in partial fulfillment of the requirements for the degree of Mas
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THE REWILDING OF NEW YORKS NORTH COUNTRY: BEAVERS, MOOSE, CANINES AND THE ADIRONDACKS By Peter Miles Aagaard Bachelor of Arts, State University of New York College at Geneseo, Geneseo, NY, 2005 Thesis presented in partial fulfillment of the requireme
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INTO THE DEN OF EVILS: THE GENZAROS IN COLONIAL NEW MEXICO By DORIS SWANN AVERY Bachelor of Arts, Duke University, Durham, NC, 1993 Thesis presented in partial fulfillment of the requirements for the degree of Master of Arts in History The University
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A MARKEDNESS APPROACH TO EPENTHESIS IN ARABIC SPEAKERS L2 ENGLISHBy Elizabeth Dawn Alezetes B.A. in English, Ball State University, Muncie, Indiana, 2004Thesis presented in partial fulfillment of the requirements for the degree of Master of Arts
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COMPARISON OF STRATEGIES FOR THE CONSTRAINT DETERMINATION OF SIMULINK MODELS By Charles Joseph Alex, IV Bachelor of Science, Rensselaer Polytechnic Institute, Troy, NY, 1993 Thesis presented in partial fulllment of the requirements for the degree of
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A LITHIC RAW MATERIALS STUDY OF THE BRIDGE RIVER SITE, BRITISH COLUMBIA, CANADAby Darrell A. Austin B.A. University of Montana Thesis Presented in partial fulfillment of the requirements for the degree of Master of Arts The University of Montana Sp
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FALL AND REDEMPTION: THE ESSENCE OF COUNTRY MUSIC By Patrick Jude Campbell Bachelor of Arts in English Literature, University of Utah, Salt Lake City, Utah, 1992 presented in partial fulfillment of the requirements for the degree of Master of Arts in
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PILOT STUDY ON THE PREDICTION OF HEART ROT IN APPARENTLY SOUND WESTERN LARCH FOR SNAG RETENTION AND MANAGEMENTBy Angela G. Daenzer B.S., Evergreen State College, 1999 Thesis Presented in partial fulfillment of the requirements for the degree of Mas
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FREE LIVING NITROGEN-FIXATION IN PONDEROSA PINE/DOUGLAS-FIR FORESTS OF WESTERN MONTANABY TRICIA A. BURGOYNE B.S. UNIVERSITY OF WISCONSIN, MADISON, 2002 THESIS PRESENTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTSFOR THE DEGREE OFMASTERS OF SCIENC
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CALLING ALL CLOWNS A CREATIVE PROJECT AND PERSONAL JOURNEYBy Linda Ann Elizabeth Cripps B.S. - Architecture, University of Virginia, Charlottesville, Virginia, 1978 Professional Paper presented in partial fulfillment of the requirements for the deg
E. Kentucky - CPE - 221
UNIFORM STATE, UNIFORM FLOW Is it weird that the temperature of a venting tank will drop, and the temperature of a filling tank will rise? Consider filling a tank : Assume: No KE, PE effects Adiabatic, Q = 0 Constant volume: W = 0 (W is moving bounda
E. Kentucky - CPE - 522
EXAM 1 Tuesday 9/16 2:00 3:20 OR 2:30 3:50 Covers: Chapter 2, 3.2Inflation definitionsInflationDecrease or increase (deflation) of the purchasing power of money over time. Cash flows in terms of todays dollars effect of inflation is removed
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MATERIAL BALANCE EQUATION SOLUTION TECHNIQUES As we have seen, we typically have to solve a system of N equations with N unknowns. There are 3 ways to do this: 1. Algebra. This is what we have been doing all along. Look for small systems of equations
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CHAPTER 3 Inflation &amp; Bonds Inflation Review: To convert Constant Value cash flows to Then Current cash flows: TC = CV (1 + j )n To convert Then Current cash flows to Constant Value cash flows: TC CV = = TC (1 + j ) n (1 + j )n where j is the annual
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INTRODUCTION TO MATERIAL BALANCES In Chemical Engineering, a process is an operation or series of operations that causes a physical or chemical change in a substance. The streams entering are the input or feed streams. The streams leaving are the out
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SynDesCoDivision of C. S. Howat &amp; Associates Lawrence, Kansas 66049-1840Memo To: Memo From: Job: Memo Date: Re: Exercise #:Process Design Group CSH, Group Leader In Class/Out of Class Exercises October 17, 2005 Process Integration Exercise 41.
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Dynamic Simulations with Controls on ChemCAD, A Short TutorialMurali Satuluri and Colin S. Chip HowatKurata Thermodynamics Laboratory Department of Chemical &amp; Petroleum Engineering University of Kansas1Outline Motivation Dynamic Simulat
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CHAPTER 2 Concepts and DefinitionsSYSTEMS AND CONTROL VOLUMES:For a closed system, no material flows across the control volume boundary, but energy, in the form of heat or work, can flow across the control volume boundary. Example: closed piston T
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PROCESS HAZARD EVALUATION ChecklistsPlant &amp; Environmental SafetyColin S. Howat Ph.D., P.E.Checklist - PES - CSH 1998 C. S. Howat1Process Hazard Evaluation - ChecklistsLecture: Title: Thought: One Class Period Introduction to Checklists in
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CHAPTER 3 Properties of a Pure SubstanceA pure substance has the same chemical composition (one kind of molecule) throughout. If two phases are in equilibrium for a pure substance, the composition is the same in both phases. If two phases are in equ
E. Kentucky - MATH - 116
Math 116Je Mermins sections, Quiz 8, April 61. (1 point each) Indicate whether the following statements are true or false. (True means Always true, false means sometimes false or possibly false.) No justication is necessary. a is a number, x and y
University of Montana - MATH - 447
Lab # 9 KEY 2008MA 447Statistical Methods, Fall,Topics this week: Confidence Intervals Doing Simulations with R 1. We took samples from the normal distribution, as well as from an EXCEL set of data called HeartRates.csv and found that the Centr
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The Horvitz-Thompson EstimatorThe Horvitz-Thompson estimator is a general estimator for a population total, which can be used for any probability sampling plan. This includes both sampling with and without replacement. Let i be the probability that
University of Montana - MATH - 549
Double Sampling (Chapter 14)To this point, we have considered a number of sampling or estimation methods (ratio and regression estimation, stratified sampling, e.g.) whereby auxiliary information was used to estimate a population mean or total. In a
University of Montana - MATH - 549
Regression EstimationRecall that the method of ratio estimation is appropriate when the response variable y is linearly related to some auxiliary variable x, and the value of y = 0 when x = 0. Regression estimation requires population information on
University of Montana - MATH - 549
Sample Size Considerations (Chapter 4)Up to now, we have assumed that the sample size n was known, and have studied properties of various resulting estimators of the population mean or total. Taking a step back, we now consider the more realistic qu
University of Montana - MATH - 447
Lab Report # 5 Key Name: _This weeks topics include: 2 way tables Segmented (or stacked) bar graphs The 68-95-99.7 ruleMA 447 Fall, 2008 Date: _= 1. In a recent previous year in MA 241, a survey was taken among statistics students and is call
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Sampling with Probability Proportional to Size (Supplement)Consider a sampling situation where we sample with replacement with probability proportional to size (PPS). This situation is discussed in Section 6.1 where the population mean and total can
University of Montana - MATH - 447
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2/10/09Genetics IPopulations change over time* the genotypes present in a population today are not the same as the genotypes that were present in that population ve hundred thousand years ago.Assumes that individuals act in such a way as to m
E. Kentucky - ANTH - 503
140Human Aging: Biological Perspectives Other ways of reducing the risk of a stroke in individuals of advanced age include reducing high blood pressure, treating blood disorders, and avoiding exhaustion. When a person seems to be having a stroke, m
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TABLE 1 - Desorption data for KLM EXPLORATION DUNN #7; NW SE SE 33-T.8S.-R.20E., Jefferson County, KS NOTE: los gas is estimated by time interval between at surface and canister times, and total gas evolved est. lost gas (cc) = TIME 0F: elapsed time