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UNC - READ - 3512803
Union County Public Works Certification Incentive Plan The Union County Public Works (UCPW) department currently has seventy (70) field positions. These positions are essential to the Departments ability to provide acceptable levels of service at cos
UNC - READ - 260714
SURGE By-lawsPrimarily, an organizations constitution and by-laws outline the basic purpose of the organization and set the parameters that govern the action and activities of the group. It is recommended practice to combine these two instruments i
UNC - UNCSTOR - 155
Last Time Hypothesis Testing Yes No Questions Assess with p-valueP[what saw or m.c. | Boundary] Interpretation Small is conclusive 1-sided vs. 2-sidedAdministrative MattersMidterm I, coming Tuesday, Feb. 24Administrative MattersMidterm
UNC - STAT - 322
Statistical Variability in Nonlinear Spaces: Application to Shape Analysis and DT-MRIby P. Thomas FletcherA dissertation submitted to the faculty of the University of North Carolina at Chapel Hill in partial fulllment of the requirements for the
UNC - UNCSTOR - 155
Statistics OR 155 Section 1J. S. Marron, Professor Department of Statistics and Operations ResearchAdministrative Matters Questions on BlackBoard: Seems OK so far Send an email, and I will personally respond Please don't make me post your que
UNC - STAT - 321
Evolution of functional traits(Recap) Traits as functions: functional, functionvalued, infinite-dimensional A primer in evolutionary models: Variation, inheritance, selection, evolution Approaches to analysing functional traits: understanding
UNC - UNCSTOR - 155
Last Time Administrative Matters Blackboard . Probability Theory Developing methods deep enough for SRS Big Rules of Probability Not Rule Or Rule And Rule P{not A} = 1 P{A}P{A or B} = P{A} + P{B} P{A and B} P{A & B} = P{A|B} P{B} = P{B|A}
UNC - UNCSTOR - 155
Last Time Administrative Matters Blackboard . Random Variables Abstract concept Probability distribution Function Summarizes probability structure Sum to get any prob. Binomial DistributionReading In TextbookApproximate Reading for Today
UNC - UNCSTOR - 155
Last Time Administrative Matters Blackboard . Bayes Rule Disease Testing Independence Special Case of And Rule Deep Example Roll a die n times, find P[#6's = 3]Reading In TextbookApproximate Reading for Today's Material: Pages 258-265, 3
UNC - INLS - 183
red# man zshZSH(1) ZSH(1)NAME zsh - the Z shellSYNOPSIS Because zsh contains many features, the zsh manual has been split into a number of sections: zsh
UNC - STAT - 322
Object Orie'd Data Analysis, Last Time Organizational Mattershttp:/www.unc.edu/~marron/UNCstat322-2005/HomePage.html Matlab Software Time Series of Curves Chemometrics Data Mortality DataData Object ConceptualizationObject Space Curves Imag
UNC - STAT - 322
Object Orie'd Data Analysis, Last Time Organizational Mattershttp:/www.unc.edu/~marron/UNCstat322-2005/HomePage.html What is OODA? Visualization by Projection Object Space & Feature Space Curves as Data Data Representation Issues PCA visuali
UNC - INLS - 183
[localhost:~] jennifer% ssh -c 3des -2 -l jshoaf red.ils.unc.edu -p 22;exitjshoaf@red.ils.unc.edu's password: Last login: Mon Sep 30 23:16:09 2002 from rdu74-171-189.nc.rr.com[jshoaf@red jshoaf]$ echo $SHELL/bin/bash[jshoaf@red jshoaf]$ whereis
Berkeley - E - 237
The Value of Information in Growth and DevelopmentCharles I. Jones*Department of Economics, U.C. Berkeley and NBER E-mail: chad@econ.berkeley.edu http:/elsa.berkeley.edu/~chad September 12, 2005 Version 0.30EXTREMELY PRELIMINARY AND INCOMPLETET
Berkeley - CS - 152
Recap: Who Cares About the Memory Hierarchy? Processor-DRAM Memory Gap (latency) CS152 Computer Architecture and Engineering Lecture 19 Caches and TLBs1000Performance100 10 1November 3, 1999 John Kubiatowicz (http.cs.berkeley.edu/~kubitron) le
Berkeley - CS - 152
Recall: The Big Picture: Where are We Now? CS152 Computer Architecture and Engineering Lecture 21 Memory Systems (recap) Caches April 10, 2001 John Kubiatowicz (http.cs.berkeley.edu/~kubitron) lecture slides: http:/www-inst.eecs.berkeley.edu/~cs152/
Berkeley - CS - 252
&6 *UDGXDWH &RPSXWHU $UFKLWHFWXUH /HFWXUH 5,6& YV &,6& &RQWURO )ORZ ,QWHUUXSWV DQG ([FHSWLRQV6HSWHPEHU 3URI -RKQ .XELDWRZLF]5HFDOO &38 )RUPXODCPU time CPU time = Seconds = Instructions x Cycles x Seconds = Seconds = Instructions x Cycles x Sec
Berkeley - CS - 258
CS 258 Parallel Computer Architecture Lecture 2 Convergence of Parallel ArchitecturesJanuary 28, 2008 Prof John D. Kubiatowicz http:/www.cs.berkeley.edu/~kubitron/cs258Review Industry has decided that Multiprocessing is the future/best use of tra
Berkeley - CS - 258
CS 258 Parallel Computer Architecture Lecture 2 Convergence of Parallel ArchitecturesJanuary 28, 2008 Prof John D. Kubiatowicz http:/www.cs.berkeley.edu/~kubitron/cs258Review Industry has decided that Multiprocessing is the future/best use of tra
Berkeley - CS - 267
Uniprocessor Optimizations and Matrix MultiplicationKathy Yelickhttp:/inst.eecs.berkeley.edu/~cs26704/20/09CS267 Lecure 21Outline Parallelism in Modern Processors Memory Hierarchies Matrix Multiply Cache Optimizations Bag of Tricks04/
Berkeley - ARE - 213
Imbens, Lecture Notes 1, ARE213 Fall '03 ARE213 Fall 20031 EconometricsUC Berkeley Department of Agricultural and Resource Economics Ordinary Least Squares I:Estimation, Inference and Predicting Outcomes (W 4.2.1-4)Let us review the basics of
Berkeley - ARE - 213
Imbens, Lecture Notes 1, ARE213 Spring 06 ARE2131 EconometricsSpring 2006 UC Berkeley Department of Agricultural and Resource Economics Ordinary Least Squares I: Estimation, Inference and Predicting Outcomes (W 4.2.1-4)Let us review the basics
Berkeley - EE - 122
Announcements Office hours (329 Soda)Ethernet: Links, Hubs, SwitchesEE 122: Intro to Communication NetworksFall 2006 (MW 4-5:30 in Donner 155) Regular slot moving to Weds 3-4PM (half hour later) Extra office hours: Monday Oct 16 1:30-3:30PM
Berkeley - EE - 122
EthernetIon Stoica (and Brighten Godfrey) TAs: Lucian Popa, David Zats and Ganesh Ananthanarayananhttp:/inst.eecs.berkeley.edu/~ee122/ Materials with thanks to Vern Paxson, Jennifer Rexford, and colleagues at Princeton and UC Berkeley1Goals of
Berkeley - EE - 122
Announcements Feedback received: extra credit too prevalent & weighted too heavilyLinksEE 122: Intro to Communication NetworksFall 2006 (MW 4-5:30 in Donner 155) Risks becoming mandatory rather than optional I concur. For remaining assignmen
Berkeley - CS - 150
EECS150 - Digital Design Lecture 11 Project Description Part 1February 25, 2003 John Wawrzynek/Sandro PintzSpring 2003EECS150 lec11-proj1Page 1Linux Command ServerVidFX Video stream is decoded, processed, and redisplayed Commands are s
Berkeley - CS - 152
CS152 Computer Architecture and Engineering Lecture 17 Buses and Networks 2004-10-26 (www.cs.berkeley.edu/~lazzaro) (www.cs.berkeley.edu/~patterson) www-inst.eecs.berkeley.edu/~cs152/John LazzaroDave PattersonCS 152 L17 Buses & Networks (1)
Berkeley - CS - 152
CS 152 Computer Architecture and Engineering Lecture 22 Graphics Processors2006-11-14(www.cs.berkeley.edu/~lazzaro)John LazzaroTAs: Udam Saini and Jue Sunwww-inst.eecs.berkeley.edu/~cs152/CS 152 L22: Graphics Processors UC Regents Fall 200
Berkeley - EE - 121
EECS 121: Introduction to Digital Communication SystemsProblem Set 7 Due Fri, April 111. In class we showed that rate efficient reliable communication is possible with binary modulation using a linear code C as long as the rate is less than R . (a
Berkeley - EE - 121
EE 121 - Introduction to Digital Communications Homework 9 SolutionsMay 16, 20081. (a) If we do no transmit anything on symbol time 1 then y[0] y[1] = h0 h1 x[0] + w[0] w[1]in which case the matched lter receiver projects x[0] onto the vector [h0
Berkeley - EE - 121
EECS 121: Introduction to Digital Communication SystemsProblem Set 9 Due 5pm, Monday, May 12, 20081. Consider a two-tap baseband ISI channel: where {w[m]} is white Gaussian noise with variance 2 and x[0] = + E or E with equal probability and i
Berkeley - EE - 121
ECE 461: Digital Communications Lecture 2: Statistical Channel Model IntroductionWe began our study of reliable communication last lecture with a very simple model of the additive noise channel. It works ne, except that one may haver a very conserva
Berkeley - EE - 121
EE 121 - Introduction to Digital Communications Homework 6 SolutionsMarch 15, 20081. (a) If you have access to the latest version of MATLAB you can use a build in function qfuncinv.m to evaluate the inverse Q-function. Else you can simply use the n
Berkeley - EE - 121
ECE461: Digital Communications Lecture 6: Rate Ecient Reliable Communication IntroductionWe now move to rate ecient reliable communication (energy eciency tends to come for free in this scenario). In this lecture we see that there are block communic
Berkeley - EE - 121
EE 121 : Introduction to Digital Communication SystemsProblem Set for Discussion Section 1Mon 1/28/2008 and Wed 1/30/20081. (based on 2.3 Gallager's book) (a) For a nonnegative integer-valued r.v. N , show that E[N ] = Pr(N > n). n=0 (b) Show, w
Berkeley - EE - 121
ECE461: Digital Communications Lecture 7: Reliable Communication with Erasures IntroductionSo far, we have seen that arbitrarily reliable communication is possible at non-zero rates provided the receiver is well designed. In this lecture we will tak
Berkeley - CS - 150
M27C40014 Mbit (512Kb x 8) UV EPROM and OTP EPROMs5V 10% SUPPLY VOLTAGE in READ OPERATION FAST ACCESS TIME: 35ns LOW POWER CONSUMPTION: Active Current 30mA at 5MHz Standby Current 100A1 32s s321s s sPROGRAMMING VOLTAGE: 12.75V 0.25
Berkeley - CS - 150
ML505/ML506/ML507 ML505/ML506/M Evaluation Platform L507 Evaluation PlatformUser Guide [optional]UG347 (v3.0) May 19, 2008 [optional]RRXilinx is disclosing this user guide, manual, release note, and/or specification (the "Documentation") to
Berkeley - EE - 236
PrecisionScan Dye LaserLinewidth Specifications Grating Options1Standard 2400 lines/mmTuning Range330-740 nmLinewidth (cm-1) 2<0.08 @ 460 nm <0.06 @ 570 nm <0.04 @ 695 nm <0.06 @ 460 nm <0.04 @ 570 nm <0.03 @ 695 nm <0.08 @ 570 nm <0.04 @ 87
Berkeley - EE - 117
UNIVERSITY OF CALIFORNIA College of Engineering Department of Electrical Engineering and Computer Scences EM117, Spring 2008Spring 2008Problem Set No. 1 Problem Number one ) Waves and DEs 2 a) If y(t) = e(t ) plot y(t) versus t . On the same coord
Berkeley - EE - 141
EE 141 Fall 1999 Homework Set #8 Solutions.Problem 1) a) R of wire = (0.1)(100E-3/5E-6) = 2000 Z0 = (l/c) 0.5 = 77.45 Since R > 2Z0 Line behave as a distributed RC model. C= 2.5 E-11 F Using Elmores delay, and a 500K driver at source we have t = 1
Berkeley - EE - 141
EE141- Spring 2005Lecture 7 Performance (cntd) Power1EE141 EE141 S05Important!Lab 3 this week Office hour changed to Th this week No office hour next weekAttend discussion sessions and TA office hoursHW 3 due on Friday 4pmCheck it out ear
Berkeley - EE - 241
EE241 - Spring 2005Advanced Digital Integrated CircuitsLecture 11: Voltage OptimizationPower /Energy Optimizaton SpaceConstant Throughput/Latency Variable Throughput/LatencyEnergyDesign Time Logic designSleep ModeRun TimeActiveScaled
Berkeley - EE - 241
EE241 - Spring 2004Advanced Digital Integrated CircuitsBorivoje Nikoli Lecture 2 Impact of ScalingClass MaterialLast lectureClass scope, organizationTodays lectureImpact of scaling21Major Roadblocks1. Power is a limiting factorBut pe
Berkeley - EE - 141
EE141EE141-Fall 2003 Digital Integrated CircuitsLecture 8 Buffer sizing Power dissipation1EECS141 EE141Administrative StuffLab 4 this week q Homework #4 posted today, due 9/30 q Midterm 1 is next Thursdayq Material through this week
Berkeley - IEOR - 262
IEOR 262B S. OREN Course Title: Mathematical Programming II Time and Location: 9:00 to 10:30 1174 Etcheverry Hall Office Hours: M 12:30 1:30 PM or by appointment. Text: Luenberger: Introduction to Linear and Nonlinear Programming Additional Referenc
Berkeley - CS - 150
Contemporary Logic DesignArithmetic CircuitsMotivationContemporary Logic DesignArithmetic CircuitsArithmetic circuits are excellent examples of comb. logic designChapter # 5: Arithmetic CircuitsContemporary Logic Design Time vs. Space
Berkeley - CS - 150
University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Science EECS 150 Fall 2005 R. H. KatzProblem Set #4: Combinational and Sequential Logic Assigned 21 September 2005, Due 7 October at 2 PM
Berkeley - CS - 150
University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Science EECS 150 Spring 2008 P. C. McGeer K. S. J. PisterProblem Set #3: Latches, Sequential Logic, and Finite State Machines Assigned
UNC - COMP - 290
Learning Depth from Single Monocular ImagesDRAFT: Please do not redistribute.Ashutosh Saxena, Sung H. Chung, and Andrew Y. Ng Computer Science Department Stanford University Stanford, CA 94305AbstractWe consider the task of depth estimation fro
UNC - COMP - 401
Chapter 14The finite state control structure1 AnalogyHow are you feeling right now? Maybe you are happy or sleepy, dopey or grumpy, hungry or angry. Maybe you feel several of these at once, but for simplicity, lets assume that just one word descr
Berkeley - CS - 262
Disco: Running Commodity Operating Systems on Scalable MultiprocessorsEdouard Bugnion and Scott Devine and Kinshuk Govil and Mendel Rosenblum Computer Systems Laboratory, Stanford UniversityIn this paper we examine the problem of extending modern o
UNC - LIB - 1980
UGLITEDITOR:Rv~u~uPERSONUNDERG DUATE Y SOUTHERN ILLI~ IS UNIVERSITY CARBO , ILL 0 S 62901 (618) 3-2818NO. 16JUGREETINCS .In preparing this issue of the UgLi Newsletter, I"the neweditor, am especially mindful of the high standar
UNC - PLAN - 799
Landscape and Urban Planning 71 (2005) 115Alternative land use regulations and environmental impacts: assessing future land use in an urbanizing watershedTenley M. Conway a, , Richard G. Lathrop bbDepartment of Geography, University of Toronto,
UNC - PLAN - 799
TEACHING LOGISTIC REGRESSION Michael J. Campbell, Northern General Hospital, UK Based on the experience of teaching logistic regression to non-mathematicians, a number of areas of possible confusion are identified that may arise particularly when the
UNC - ASSIGNMENT - 799
PLAN 799 Assignment 0: Personal Land Use Change Experiences Please write about a place that you are familiar with that has experienced land use change during your lifetimemaybe your hometown, maybe a place youve visited frequently on vacation. We wil
UNC - ECON - 450
Econ 450 FACTS:Homework #1Gilleskie Real medical care spending per capita has been rising since 1960. Health care spending as a % of GDP has risen from 5.1% in 1960, to 8.9% in 1980, to 13.3% in 2000, to 16.0% in 2005. (Growth rates of around
UNC - ECON - 450
ECON 450Health Economics GilleskieLecture 2: The Size of the MarketSources: http:/www.cms.hhs.gov/NationalHealthExpendData/ http:/bea.gov/index.htm http:/www.meps.ahrq.gov/mepsweb/data_files/publications http:/www.cdc.gov/nchs/ http:/nces.ed.gov
UNC - ECON - 450
ECON 450H ealth Economics Gillesk ieL ect ur e 1: I nt r oduct ionWhat is economics?What is healt h economics?What is healt h economics? Gover nment: equit y and efficiency gover nment int er vent ion gover nment r egulat ion compar
UNC - ECON - 450
ECON 450Health EconomicsGilleskieLecture 4: The Demand for Health Grossman's modelGrossman, Michael. 1972a. On the Concept of Health Capital and the Demand for Health. The Journal of Political Economy 80 (2):223-255. -. 1972b. The Demand for