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UCLA - EE - 123B
Chapter 11. Diamagne0sm and Paramagne0sm Lecture 14 2/15/11 Today Lecture Overview magne0c materials Primer on Hydrogen atom Magne0c suscep0bility, magne0c moment Langevin diamagne0c equa0on (classical approach) Quantu
UCLA - EE - 123B
Lecture 3Kittel Chapter 2January 11, 2010Hand in HW#1.Homework #2due 1/18 TuesdayKittel Chapter 22.1 interplanar distance2.2 primitive cell calculations volume,vectors, Brillouin zone sketch for HCP2.4 examine scattering linewidth F, K, G2.5 st
UCLA - EE - 123B
CHAPTER 11. The vectors x + y + z and x y + z are in the directions of two body diagonals of acube. If is the angle between them, their scalar product gives cos = 1/3, whence = cos 1 1 / 3 = 90 + 19 28 ' = 109 28 ' .2. The plane (100) is normal to the
UCLA - CS - 32
Winter 2009 CS 32Homework 5 SolutionProblem 1Problem 2Problem 1:Problem 3Problem 450206010403070254565803575OOne possibility is5025601040357045658075Other possibilities have the left subtree of 50 being4035or4525104
UCLA - CS - 32
CS32: Introduction to Computer Science IIWinter 2011Discussion 2C Notes (Week 4, January 28)TA: Brian Choi (schoi@cs.ucla.edu)Section Webpage: http:/www.cs.ucla.edu/~schoi/cs32Inheritance BasicsInheritance in C+ refers to the process of deriving a n
UCLA - CS - 32
CS32: Introduction to Computer Science IIWinter 2011Discussion 2C Notes (Week 5, February 4)TA: Brian Choi (schoi@cs.ucla.edu)Section Webpage: http:/www.cs.ucla.edu/~schoi/cs32RecursionA recursion is a function-writing technique where the function r
UCLA - CS - 32
CS32 DiscussionSection 2CWeek 2TA: Brian ChoiDiscussion Section 2C Brian Choi schoi@cs.ucla.edu Ofce Hours Thursdays 3:30 - 5:30 pm BH 4428 Section webpage http:/www.cs.ucla.edu/~schoi/cs32 Reminder & Agenda Homework 1 due Tuesda
UCLA - CS - 32
CS32 DiscussionSection 2CWeek 4TA: Brian ChoiReminder Homework 2 Due 2/1 Tuesday On stacks and queuesInheritance The process of deriving a new class using anotherclass as a base. Our example:DogCatFeatures of a dogFeatures of a
UCLA - CS - 32
CS32 DiscussionSection 2CWeek 5TA: Brian ChoiReminder Homework 3 Due Sunday, not Tuesday! Midterm 2/9 Wednesday Open book, open notes, closed friends Everything up through recursion is a fair game Practice Problems posted Solutions t
UCLA - CS - 32
1Project#4!CHEATING!Inproject#4,youregoingtobuildaninternetplagiarismdetector!2Project#4Yourprogramwillbegivenanessaylikethis:DeoxyribonucleicacidorDNAisanucleicacidthatcontainsthegeneticinstructionsusedinthedevelopmentandfunctioningofallknownlivi
UCLA - CS - 32
Project#4!CHEATING!Inproject#4,youregoingtobuildaninternetplagiarismdetector!Project#4Yourprogramwillbegivenanessaylikethis:DeoxyribonucleicacidorDNAisanucleicacidthatcontainsthegeneticinstructionsusedinthedevelopmentandfunctioningofallknownlivingor
UCLA - STAT - 105
Statistics 105: Statistics for EngineersMark Hansene: cocteau@stat.ucla.edut: @cocteauTA: Miles ChenReader: Ben GreenspanChapter 6. Random Sampling and Data Description.Chapter 7. Point Estimation of Parameters.Chapter 8. Statistical Intervals for
UCLA - STAT - 105
Lecture 2: Box, bag and violin?TodayWe begin our discussion of data description, both numerical as well as visual - Wewill expand on some of the selections made by your book and ignore others(notably, stem-and-leaf diagrams)We will work with data fro
UCLA - STAT - 105
Lecture 3: MiddleLast timeWe examined some basic graphical and numerical summaries, essentially coveringand extending Chapter 6 of your text - We saw a series of plots, some familiar,some new, but all aimed at helping you read a data setSome plots we
UCLA - STAT - 105
Lecture 4: Noise?Last timeWe started by taking up our discussion of developing a boxplot for more than asingle variable, a graphic to summarize the shape of a 2-dimensional point cloudWe then examined tools for viewing (continuous) data in 2 or more d
UCLA - STAT - 105
Lecture 5: Its almost beautifulLast timeWe gave you a little tour of R in an attempt to better prepare you for doingsomething really innovative with the Registrars data! We talked a little about thehistory of R and then operations on vectors (well do
UCLA - STAT - 105
Lecture 6: Fat catNatural experimentsWere now going to spend a little time on one more example - This is not aclinical trial but has been termed a natural experiment that leads to aninteresting set of questions we are now prepared to answerThe exampl
UCLA - STAT - 105
Lecture 7: FrequentStatistical modelingSo far, we have been focusing mainly on re-randomization techniques to assesssignificance in study designs that employ some kind of explicit randomizationIn each case, we defined a test statistic that represented
UCLA - EE - 131B
NOISE ANALYSIS FOR AMPLITUDE MODULATIONWe study the effect of Noise in A M systemsWe have seen that the signal transmiited over the channel can be expressed :stA1am tSin 2 fc tThe channel is modelled as an additive Gaussiannoise channel so that th
UCLA - EE - 131B
EE 131B Spring 09Final, June 12thOpen bookYour Name:Your ID Number:11. Let ( ) be uniform [0, 2 ]. Show that sin( ) and cos( ) are UNcorrelated.Show that they are NOT independent.22. Show that the random process:x(t, ) = sin( ) cos 400t + cos( )
UCLA - EE - 131B
EE 131B Spring 09Midterm, April 28thOpen bookYour Name:Your ID Number:11. X ( ) is a random variable with exponential distribution, i.e.p(x) = ex , > 0, x 0.Find the characteristic function C (t), and its 1st, 2nd and 3rd moments (derive themfrom
UCLA - EE - 131B
NOISE : Random ProcesesThe theory of Random Processes is quite rich aith many applications . The use inCommunication Systems is quite limited in scope and we prefer tha name Noise indicativeof this. Noise is a special case of Stationary Random Processe
UCLA - EE - 131B
EE131B HW11Problem 2The Gaussian random variable x with zero mean and variance 2 has the following density function:x21p(x) = e 2 22Thus the corresponding chharacteristic function of this density isx21eitx e 2 2 dx2+C (t) =+=1e22 2t
UCLA - EE - 131B
-~t~E~)~I~f)-~H~w-;#;-;2-~I1 _ (1-4r(f)'17 W\,~6 C\prob(e~VV12)/- /-P It-P A 11h .5';M' (i: )D(3)(7ytlJV1I1 ~It - fC(+~5 ~lMfVl -cfw_If; (cfw_; )0J5"~1,TkeSvVkos"2,os( 1')bTh e1c<t;'sf.W1fR.r-,-JAai/-flite-1-vavr-1(
UCLA - EE - 131B
,-R(t)-It\. : (1:2(-.1'-- f t,-~f!'1If'l4-rCfiL- J2-'f\il.V1ctiD1,- 1r :c. (':) tl.cfw_ (:- f( If2fJ.4-JLf~ef',\~,cfw_II iA'Qv1i-':;v i')YtcJo(:c:]2C1. ~..0)0 \r'.'2 (cfw_) (Ci~"f-I-JYi)'t+ ()( -T )JVi
UCLA - EE - 131B
EE 131 BHome Work 1Due April 715All four problems from page 3132 of Textbook : Balakrishnan1. problem 22. problem 6 Note the second part which is just analysisYou may omit the last part if you are not yetfamiliar with Parseval' s Theorem of which
UCLA - EE - 131B
EE 131 B Spring 2010Home Work 2.1. p .48 problem 1.1.22. p .50 problem 1.1Due Back 22 April.43. Letx t, Sin t,twhere is Gaussian 0, .1 independent of which is uniform 0, 2 .Show that the mean is zero in contrast to example1.2 .2 on p .56.F
UCLA - EE - 131B
EE 131 B Winter 2010HOME WORK 31. Letx t, whereA Sin t,tA is Rayleigh with second moment 2 is Gaussian , 0, 2 is uniform random phaseAll mutually independent random variablesYou may find it convenient to use the expansion :x t, A Sin t Cos
UCLA - EE - 131B
EE 131 B Spring 2010HW 41. Page 101 problem 2.19(a)2 .p104 problem 2.283. p95 problem 2.24. problem 2.3
UCLA - EE - 131B
HW51. Let R t ,t,be a real valued stationary covariance function . It is periodic with period T.Expand the function in a Fourier series and hence findthe correponding spectral density.2. Which of the following functions are periodic ? Determinethe
UCLA - EE - 131B
EE131B (Spring 2010)Homework 6Problemd2dv (t) + 2b v (t) + cv (t) = N (t, )2dtdtN (t, ) is white noise with unit spectral density.(1) Calculate steady state covariance function and spectrum of v (t) and(a) 2b = 0.1, c = 100(b) b = 0, c = 100(
UCLA - EE - 131B
EE131B Spring 2010HW 7Pages 269273 in Text Book12346.16.26.46.9ProblemProblemProblemProblemPrinted by Mathematica for Students
UCLA - EE - 121b
EE 121BPrinciples of Semiconductor Device Design Introduction to Device Design and ModelingProfessor Chi On ChuiElectrical Engineering Department University of California, Los Angeles Email: chui@ee.ucla.eduEE 121B Chi On Chui 2006 Marko Sokolich All
UCLA - EE - 121b
EE 121BPrinciples of Semiconductor Device Design Review of PN JunctionsProfessor Chi On ChuiElectrical Engineering Department University of California, Los Angeles Email: chui@ee.ucla.eduEE 121B Chi On Chui 2006 Marko Sokolich All Rights ReservedSli
UCLA - EE - 121b
EE 121BPrinciples of Semiconductor Device Design Bipolar Junction Transistors - IProfessor Chi On ChuiElectrical Engineering Department University of California, Los Angeles Email: chui@ee.ucla.eduEE 121B Chi On Chui 2006 Marko Sokolich All Rights Re
UCLA - EE - 121b
EE 121BPrinciples of Semiconductor Device Design Bipolar Junction Transistors - IIProfessor Chi On ChuiElectrical Engineering Department University of California, Los Angeles Email: chui@ee.ucla.eduEE 121B Chi On Chui 2006 Marko Sokolich All Rights R
UCLA - EE - 121b
EE 121BPrinciples of Semiconductor Device Design Bipolar Junction Transistors - IIIProfessor Chi On ChuiElectrical Engineering Department University of California, Los Angeles Email: chui@ee.ucla.eduEE 121B Chi On Chui 2006 Marko Sokolich All Rights
UCLA - EE - 121b
EE 121BPrinciples of Semiconductor Device Design Bipolar Junction Transistors - IVProfessor Chi On ChuiElectrical Engineering Department University of California, Los Angeles Email: chui@ee.ucla.eduEE 121B Chi On Chui 2006 Marko Sokolich All Rights R
UCLA - EE - 121b
EE 121BPrinciples of Semiconductor Device Design Bipolar Junction Transistors - VProfessor Chi On ChuiElectrical Engineering Department University of California, Los Angeles Email: chui@ee.ucla.eduEE 121B Chi On Chui 2006 Marko Sokolich All Rights Re
UCLA - EE - 121b
EE 121BPrinciples of Semiconductor Device Design Metal-Oxide-Semiconductor Capacitors - IProfessor Chi On ChuiElectrical Engineering Department University of California, Los Angeles Email: chui@ee.ucla.eduEE 121B Chi On Chui 2006 Marko Sokolich All R
UCLA - EE - 121b
EE 121BPrinciples of Semiconductor Device Design Metal-Oxide-Semiconductor Capacitors - IIProfessor Chi On ChuiElectrical Engineering Department University of California, Los Angeles Email: chui@ee.ucla.eduEE 121B Chi On Chui 2006 Marko Sokolich All
UCLA - EE - 121b
EE 121BPrinciples of Semiconductor Device Design Metal-Oxide-Semiconductor Transistors - IProfessor Chi On ChuiElectrical Engineering Department University of California, Los Angeles Email: chui@ee.ucla.eduEE 121B Chi On Chui 2006 Marko Sokolich All
American University in Bulgaria - ACC - 3101
Page31 - 22. Several years ago, Einstein, Inc., bought 40 percent of the outstanding voting stock ofBrooks Company. The equity method is appropriately applied. On August 1 of the current year,Einstein sold a portion of these shares.1. How does Einstein
American University in Bulgaria - ACC - 3101
ACCT 456: CHAPTER 2IN-CLASS ASSIGNMENT1On 31 December 2015, Alpha Co purchases 100% of the common stock of Beta Inc for $75,000cash and 10,000 shares of Alphas $2 par value common stock. The market price of Alphasstock on the date of acquisition is $2
American University in Bulgaria - ACC - 3101
AccountsBalance SheetCashAccounts ReceivableInventoryInvestment in Beta IncAlpha Co220,000170,000230,000Beta IncConsolidation EntriesDebitCreditConsolidated Totals40,00030,000120,000260,000200,000350,000250,000105,000355,000LandBu
American University in Bulgaria - ACC - 3101
PetersonIncome StatementRevenuesCost of goods soldGain on bargain purchaseDepreciation and amortizationEquity earnings in SantiagoNet incomeStatement of Retained EarningsRetained earnings, 1/1Net income (above)Dividends paidRetained earnings,
American University in Bulgaria - ACC - 3101
Chapter 4 exampleAcquisition DateChapter 4 example1/1/2009percent acquiredconsideration given80%$425,000Noncontrolling interestFMV of noncontrol InterestInvestment in Subsidiary AccountAcquisition price (80% interest)Prior Years Chg in R/EPri
American University in Bulgaria - ACC - 3101
1.LO3p. 28When an investor uses the equity method to account for investments in common stock, cashdividends received by the investor from the investee should be recorded asa.A deduction from the investor's share of the investee's profits.b.Dividen
American University in Bulgaria - ACC - 3101
2.LO2Which of the following is the best theoretical justification for consolidated financial statements?a.b.c.d.3.In form the companies are one entity; in substance they are separate.In form the companies are separate; in substance they are one e
American University in Bulgaria - ACC - 3101
Patience Sampah, Kelley Wolff, Kristen Jack1. LO2A company acquires a subsidiary and will prepare consolidated financial statements for externalreporting purposes. For internal reporting purposes, the company has decided to apply the initialvalue meth
American University in Bulgaria - ACC - 3101
Patience Sampah, Kelley Wolff, Kristen JackNote: Problems 1 through 37 assume the use of the acquisition method. Problems 38 through 40assume the use of the purchase method.1. LO1What is a basic premise of the acquisition method regarding accounting f
American University in Bulgaria - ACC - 3101
ACCT 456: CHAPTER 1 NOTESTHE EQUITY METHOD OF ACCOUNTING FOR INVESTMENTSCompanies purchase equity of other companies for a variety of reasons, including, but notlimited to:A. Investing excess cashB. Access to geographic marketsC. Access to inputsTh
American University in Bulgaria - ACC - 3101
ACCT 456: CHAPTER 2 NOTESCONSOLIDATION OF FINANCIAL INFORMATIONConsolidated Financial Statements represent the combining of the financial reports of more thanone company.BUSINESS COMBINATIONSTypes:1.Statutory Merger a.One company purchases the as
American University in Bulgaria - ACC - 3101
ACCT 456: CHAPTER 3 NOTESCONSOLIDATIONS SUBSEQUENT TO THE DATE OF ACQUISITIONObjective of consolidations combine asset, liability, revenue, expense and equity accounts of the consolidated group of companies.IMPORTANT ELEMENTS The parents Investment in