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Adrian College - ELEC - 607
BENU4583ENGINEERINGETHICSAssignment1TheSpaceShuttleChallengerAccidentQuestion:a)TheastronautsontheChallengermissionwereawareofthedangerousnatureridingacomplexmachinesuchasthespaceshuttle,sotheycanbe thoughtofhavinggiveninformedconsenttoparticipatin
USC - ECON - 203
Chapter 01 - Limits, Alternatives, and Choices (+ Appendix)CHAPTER ONELIMITS, ALTERNATIVES, AND CHOICES (+ APPENDIX)LECTURE NOTESI.Learning objectives After reading this chapter, students should be able to:A. Define economics and the features of the
USC - ECON - 203
Chapter 02 - The Market System and the Circular FlowCHAPTER TWOTHE MARKET SYSTEM AND THE CIRCULAR FLOWLECTURE NOTESI.Learning objectives After the reading this chapter, students should be able to:A. Differentiate between a command system and a marke
USC - ECON - 203
Chapter 03 - Demand, Supply, and Market Equilibrium (+ Appendix)CHAPTER THREEDEMAND, SUPPLY, AND MARKET EQUILIBRIUM (+APPENDIX)LECTURE NOTESI.Learning objectives After reading this chapter, students should be able to:A. Describe demand and how it c
USC - ECON - 203
ECON203KeyTermsandConcepts17:37Chapter1Economicsisthesocialscienceconcernedwithhowindividualsinstitutionsand societymakeoptimal(best)choicesunderconditionsofscarcity.EconomicperspectiveeconomicwayofthinkingOpportunityCosttoobtainmoreofonething,socie
USC - ECON - 203
January 11, 12ECON 203 NotesEconomics defined:Economic wants exceed productive capacity. (Problem is that wants/desires are unlimitedand we want MORE and MORE.)A social science concerned with making optimal choices under conditions of scarcity.(One
USC - ECON - 203
ECON203NotesPriceElasticityofSupplyMeasuressellersresponsivenesstopricechangeElasticsupply,producersareresponsivetopricechangesInelasticsupply,producersarenotresponsivetopricechangeFormulatocomputeelasticityE_s>1supplyiselasticE_s<1supplyisinelasti
USC - ECON - 203
ECON203Notes23:59ApplicationsandExtensionsIntroductionofnewproductsiPodsHigherrelativeMU/PriceShiftinconsumptionpatternNewproductssucceedbyenchainingtotalutilityDiamondWaterParadoxWhydoessentialgoodshavemuchlowerpricesthanrelativelyunimportantgoo
USC - ECON - 203
ECON203NotesEfficientAllocationProductiveefficiencyProducinggoodsintheleastcostlywayUsingthebesttechnologyUsingtherightmixofresourcesAllocativeEfficiencyProducingtherightmixofgoodsThecombinationofgoodsmosthighlyvaluedbysocietyComplexCasesChangei
USC - ECON - 203
January 23, 12ECON Discussion 203 NotesBahar Kartalciklarkartalci@usc.edupdf995 use to convert files to pdfSaroyaSandifordHW2.pdf this is the format used to get homework submitted.Office Hours: Wednesday before class or by appointmentReview session
USC - ECON - 203
January 18, 12Econ 203 NotesChapter 1 ContinuedBudget constraint deals with an individuals choice. Any spot within the attainable isacceptable.Production Possibilities curve deals with an economy. The law of increasingopportunity cost makes PPC conc
USC - ECON - 203
January 23, 12ECON 203 NotesThe Market SystemKnown as capitalismPrivate ownership of resourcesDecisions based on marketsCharacteristics of the Market SystemPrivate PropertyFreedom of enterprise and choiceSelf-Interest (we have individuals making
USC - ECON - 203
ECON203Notes23:35TechnologyandCapitalGoodsAdvancedtechnologyandcapitalgoodareencouragedSpecialization(youcanthinkaboutitatthestate,federal,locallevel.)DivisionofLaborGeographicspecializationUseofMoneyMakestradeeasierIfyoudidnthavemoneyyouwouldbel
USC - ECON - 203
ECON203Notes23:32Demand,SupplyandMarketEquilibriumCriticalthinkingMondayEndowment:acontributionEducationasaproductiveactivity:youaremoreinformedIncome:peoplethathasacollegedegreewillmakemoremoney(Selfselectionthosewhothoughtthatcollegewouldhelpthem
UT Arlington - CSE - 5345
CMSC 414 F06 Exam 1Page 1 of 6Name:__Total points: 40. Total time: 75 minutes.6 problems over 6 pages.No book, notes, or calculator1. [14 points]Are n=187 and e=9 valid numbers for RSA. Explain. If you answer yes, obtain the corresponding d.CMSC
UT Arlington - CSE - 5345
CMSC 414 F07 Exam 1Page 1 of 7Name:__Total points: 60. Total time: 75 minutes.6 problems over 7 pages.No book, notes, or calculator1. [14 points]Are n=323 and e=5 valid numbers for RSA. Explain. If you answer yes, obtain the corresponding d.CMSC
UT Arlington - CSE - 5345
CMSC 414 F08 Exam 1Page 1 of 9Name:__Total points: 71. Total time: 75 minutes.9 problems over 9 pages.No book, notes, or calculator1. [14 points]a. Are n=221 and e=3 valid numbers for RSA. Explain. If you answer yes, obtain the corresponding d.b.
UT Arlington - CSE - 5345
CMSC 414 S06 Exam 1Page 1 of 4Name:__Total points: 30. Total time: 115 minutes.1. [10 points]Suppose Bob uses RSA with n=77 and e=5.Are these valid numbers for RSA. Explain.If you answer yes, obtain the corresponding d.4 problems over 4 pages.No
UT Arlington - CSE - 5345
CMSC 414 F08 Exam 1Page 1 of 10Name:__Total points: 71. Total time: 75 minutes.9 problems over 7 pages.No book, notes, or calculator1. [14 points]a. Are n=221 and e=3 valid numbers for RSA. Explain. If you answer yes, obtain the corresponding d.b
UT Arlington - CSE - 5345
CMSC 414 S06 Exam 1 SOL-KEYPage 1 of 4Name:_SOLUTION AND GRADING KEY_Total points: 30. Total time: 115 minutes.4 problems over 4 pages.No book, notes, or calculator1. [10 points]Suppose Bob uses RSA with n=77 and e=5.Are these valid numbers for
UT Arlington - CSE - 5345
Information Security 2: Assignment 1 SolutionsMatt Wright, Charles Gatz (GTA)February 15, 20121. Inverses in Z5 (4 pts.)Find the multiplicative inverse of each nonzero element in Z5 .The easiest way is to guess and check.11 mod 5 = 1, 21 mod 5 = 3,
UT Arlington - CSE - 5345
Information Security 2: Assignment 2 SolutionsMatt Wright, Charles Gatz (GTA)February 19, 20121. D-H with q = 71, = 7. (9 pts.)a) XA = 5.=XA=75=YA51mod qmod 71b) XB = 12= XBYB=712=mod q4mod 71c)K=(YB )XA5=4=mod qmod 7130
UT Arlington - CSE - 5345
Information Security 2: Assignment 3 SolutionsMatt WrightFebruary 29, 2012Cryptanalysis1. (20 points)Everyone got this one right; standard frequency analysis on a monoalphabeticsubstition (Caeser) cipher.Key Distribution2. (15 points)a) 10 pts. T
UT Arlington - CSE - 5345
Information Security 2: Assignment 4 SolutionsMatt WrightMarch 1, 20121Problems1. Timing Attack (15 pts.)a) (10 pts.) This calculation is on the number of 56-bit DES keys that haveexactly 26 bits set to one. Thus we must choose which of the 56 bits
UT Arlington - CSE - 5345
1)a)We can choose which of the 56 bits to be ones The answer is C(56, 26) = 6.65x1015 = 252.4.b)The original key space was 256. Thats a decrease of 256-252.54= 23.6,which means it will take less than 8.24% of the time.2)a)b)Lets send C to the enc
UT Arlington - CSE - 5345
Information Security 2: Assignment 5, part aSolutionsMatt WrightMarch 5, 20121Problems1. CBC error propagation (10 pts.)a) (5 pts.) Clearly m1 is aected. Since c1 is used to decrypt c2 , m2 is alsoaected. All later blocks are not aected, since dec
UT Arlington - CSE - 5345
Algorithms and MechanismsCryptography is nothing more than a mathematicalframework for discussing the implications ofvarious paranoid delusions Don AlvarezHistorical CiphersNon-standard hieroglyphics, 1900BCAtbash cipher (Old Testament, reversed He
UT Arlington - CSE - 5345
An introduction to cryptography andcryptanalysisEdward SchaeferSanta Clara Universityeschaefer@scu.eduI have given history short-shrift in my attempt to get to modern cryptography as quicklyas possible. As sources for these lectures I used conversat
UT Arlington - CSE - 5345
udaya shankarPage 1 of 44/7/2006CMSC 414: HW 2 Solution and Grading_1. (text 3.8) Why is a DES weak key its own inverse? (Hint: DES encryption anddecryption are the same once the per-round keys are generated.)For a DES weak key, each of C0 and D0 i
UT Arlington - CSE - 5345
Introduction to Cryptography89-656Yehuda Lindell1October 19, 20061This is an outdated draft of lecture notes written for an undergraduate course in cryptography at Bar-IlanUniversity, Israel. The notes are replaced by the textbook Introduction to Cr
UT Arlington - CSE - 5345
SOLUTIONS MANUALCRYPTOGRAPHY AND NETWORKSECURITYThird EditionWILLIAM STALLINGSCopyright 2002: William Stallings-1--2-TABLE OF CONTENTSChapter 2:Chapter 3:Chapter 4:Chapter 5:Chapter 6:Chapter 7:Chapter 8:Chapter 9:Chapter 10:Chapter 11:
UT Arlington - CSE - 5345
CHAPTER 10Symmetric-Key Cryptography(Solution to Odd-Numbered Problems)Review Questions1. Symmetric-key cryptography is based on sharing secrecy; asymmetric-key cryptography is based on personal secrecy.3. In cryptography, a trapdoor is a secret with
UT Arlington - CSE - 5345
OverviewCSE 5345: Fundamentals of Wireless Networks Logistics Grading policy Goal Course contentYonghe LiuYonghe@cse.uta.edu1/17/121CSE 5345: Fundamentals of Wireless Networks2CSE 5345: Fundamentals of Wireless Networks Instructor: Yonghe Liu
UT Arlington - CSE - 5345
Part I: Basic Knowledge Introduction of wireless networks Transmission fundamentalsCSE 5345 Fundamentals of Wireless Networks Chapters: 1-4 Next: physical layer communicationYonghe LiuYonghe@cse.uta.edu1/19/12Wireless Comes of Age Guglielmo Marc
UT Arlington - CSE - 5345
ScheduleCSE 5345 Fundamentals of Wireless NetworksYonghe LiuYonghe@cse.uta.edu1/24/12Last Class Quiz 1: around week 4 Lab 1: week 8 due Lab 2: week 11 due Exam: week 12 Project: week before final exam(Presentation/Demo) 5/4 last day of classF
UT Arlington - CSE - 5345
SunSPOT Programming www.sunspotworld.com Group based project 2-3 students per groupCSE 5345 Fundamentals of Wireless Networks You will be lent a device kit We have more than 10kits=30nodes Use all or use a fewYonghe LiuYonghe@cse.uta.edu1/26/12
UT Arlington - CSE - 5345
Last Class PropagationCSE 5345 Fundamentals of Wireless NetworksYonghe LiuYonghe@cse.uta.edu1/31/12Free Space LossExpression Eb/N0 Ratio of signal energy per bit to noise powerdensity per Hertz Free space loss accounting for gain of otherantenn
UT Arlington - CSE - 5345
Last Class Modulation ASK/PSK/FSK, QAMCSE 5345 Fundamentals of Wireless NetworksYonghe LiuYonghe@cse.uta.edu2/2/12Today Spread Spectrum Digitization Pulse Code DeltaSpread Spectrum - Transmitter Input is fed into a channel encoder Produces a
UT Arlington - CSE - 5345
Last Class Spread SpectrumCSE 5345 Fundamentals of Wireless NetworksYonghe LiuYonghe@cse.uta.edu2/7/12 Frequency Hopping Direct Sequence Spreading Code CDMA Walsh CodesToday Coding and Error ControlCoping with Data Transmission Errors Error
UT Arlington - CSE - 5345
Last Class Convolutional Code (n, k, K)CSE 5345 Fundamentals of Wireless Networks Encoder DecoderYonghe LiuYonghe@cse.uta.edu2/9/12Last Part: PHY Layer Open Space Transmission Wireless Channel Channelization T/F/C-DMA Encoding/Modulation For
UT Arlington - CSE - 5345
Last Class WLANCSE 5345 Fundamentals of Wireless NetworksYonghe LiuYonghe@cse.uta.edu2/14/12Today Continue on 802.11 MAC Various standards:802.11* Network architecture: BSS and ESS MAC Exposed/Hidden terminal problems CSMA/CA802.11 Solutions
UT Arlington - CSE - 5345
Last Class WLAN MAC Inter-frame Space: DIFS/SIFSCSE 5345 Fundamentals of Wireless Networks One Page Project ProposalYonghe LiuYonghe@cse.uta.edu2/16/12Group membersObjectiveMilestonesApproach to address challenges, if any SunSPOT tutorial comi
UT Arlington - CSE - 5345
Last Class WLAN MACCSE 5345 Fundamentals of Wireless Networks NAV DCF Multi-rate supportYonghe LiuYonghe@cse.uta.edu2/16/12CalculationDistributed Coordination Function (DCF)RTS:SIFS+CTS+SIFS+DATA+SIFS+ACKCTS: RTS duration (CTS+SIFS)DATA: CTS
UT Arlington - CSE - 5345
Last Class PLCP frame formatCSE 5345 Fundamentals of Wireless NetworksYonghe LiuYonghe@cse.uta.edu2/21/12 Preamble: SYNC, SFD Header: Signal, Service, Length, CRC Carrier Sensing Range v.s. TransmissionRange2TodayMarkov Chain (Discrete Time)
UT Arlington - CSE - 5345
Last Class Performance of DCF Markov Chain overviewCSE 5345 Fundamentals of Wireless NetworksYonghe LiuYonghe@cse.uta.edu2/23/122TodayEnhanced DCF Point Coordination Function (PCF) Contention-free access As opposed to contention-based DCF Hyb
Middle East Technical University - ECON - 106
ECON 206METU- Department of EconomicsOctober 04, 2010LECTURE 01INTRODUCTION AND SAMPLING DISTRIBUTIONSOutline of todays lecture:I. Refreshment: Relative Frequency Density and Probability Distribution . 1II. Refreshment: Expected values (mathematica
Middle East Technical University - ECON - 106
ECON 206METU- Department of EconomicsOctober 11, 2010LECTURE 02SAMPLING DISTRIBUTIONSAND CENTRAL LIMIT THEOREMOutline of todays lecture:I. Uniform Distribution Functions in Excel . 1A. RAND Function (Continuous Uniform Distribution) . 3B. RANDBET
Middle East Technical University - ECON - 106
ECON 206METU- Department of EconomicsOctober 31, 2010LECTURE 03SAMPLING DISTRIBUTIONSAND CENTRAL LIMIT THEOREM - IIOutline of todays lecture:I. The Central Limit Theorem (CLT) . 1II. Sampling Distributions Related to Normal Distribution . 3A. Sam
Middle East Technical University - ECON - 106
ECON 206METU- Department of EconomicsNovember 08, 2010LECTURE 04SAMPLING DISTRIBUTIONSAND CENTRAL LIMIT THEOREM - IIIOutline of todays lecture:C. Students t Distribution . 1D. F Distribution . 5III. Normal Distribution Functions in Excel . 10A.
Middle East Technical University - ECON - 106
ECON 206METU- Department of EconomicsNovember 22, 2010LECTURE 05ESTIMATION - BIAS - MEAN SQUARE ERROR (MSE)Outline of todays lecture:I. Introduction . 1II. Bias and Mean Square Error of Point Estimators . 2III. Evaluating the Goodness of a Point E
Middle East Technical University - ECON - 106
ECON 206METU- Department of EconomicsNovember 29, 2010LECTURE 06CONFIDENCE INTERVALSOutline of todays lecture:I. Introduction . 1II. Large Sample Confidence Intervals . 2A. Interpretation of (1-) Confidence Intervals. 7B. Simulation to Show that
Middle East Technical University - ECON - 106
ECON 206METU- Department of EconomicsDecember 06, 2010LECTURE 07HYPOTHESIS TESTING - IOutline of todays lecture:I. Elements of Statistical Test . 1Type I and Type II Errors . 4II. Common Large-Sample Tests . 5III. Calculating Type II Error Probab
Middle East Technical University - ECON - 106
ECON 206METU- Department of EconomicsDecember 13, 2010LECTURE 08HYPOTHESIS TESTING - IIOutline of todays lecture:I. Comments about Hypothesis Testing . 1II. Small Sample Hypothesis Testing. 2A. Small Sample Tests for Mean . 3B. Small Sample Tests
Middle East Technical University - ECON - 106
ECON 206METU- Department of EconomicsDecember 20, 2010LECTURE 09SIMPLE REGRESSION MODEL - IOutline of todays lecture:I. Simple Linear Regression Model . 1II. Linearity Issue . 2III. Stochastic Nature of Linear Regression Model . 3IV. Assumptions
Middle East Technical University - ECON - 106
ECON 206METU- Department of EconomicsDecember 27, 2010LECTURE 10SIMPLE REGRESSION MODEL - IIOutline of todays lecture:I. Mean and Variance of the Dependent Variable Y . 1II. Ordinary Least Squares (OLS) Estimation. 2A. Mean of 1 . 6B. Variance of
Middle East Technical University - ECON - 106
ECON 206METU- Department of EconomicsJanuary 03, 2011LECTURE 11SIMPLE REGRESSION MODEL - IIIOutline of todays lecture:I. Variance of the random variable u . 1II. A Measure of Goodness of Fit: Coefficient of Determination ( R ) . 2A. Relationship b
Middle East Technical University - ECON - 106
Middle East Technical UniversityDepartment of EconomicsECON 2062010-2011 FallInstructor: Ozan ERUYGURResearch Assistant: Pelin AKAGNPROBLEM SET 07PROBLEM 1Suppose a researcher wants to estimate the parameters in the simple populationequationY =
Middle East Technical University - ECON - 106
-1+ Y~v9 Sb'Or~1'' oJb'o =01\' cn.-o.:>\J l '.Jd2.so0'0~S 930S( Og) 0L.( 01;);~I i Or\:co:0)\:c:(c.~)OS295-t . F>('-'?!.~dxe.-'jut/:- , -.L\.",J-.J or- rd7r:L~.\J~CfviJ7J0'iJ-t0 ; 0'<1 ~0'rt'",j~,?:")~ J ( /9f
Middle East Technical University - ECON - 106
Middle East Technical UniversityDepartment of EconomicsECON 2062010-2011 FallInstructor: Ozan ERUYGURResearch Assistant: Pelin AKAGNPROBLEM SET 05HYPOTHESIS TESTINGPROBLEM 1The hourly wages in a particular industry are normally distributed with m
Middle East Technical University - ECON - 106
Middle East Technical UniversityDepartment of EconomicsECON 2062010-2011 FallInstructor: Ozan ERUYGURResearch Assistant: Pelin AKAGNPROBLEM SET 06PROBLEM 1Fit a straight line to the five data points in the accompanying table. Give the estimates of
Middle East Technical University - ECON - 106
Middle East Technical UniversityDepartment of EconomicsECON 2062010-2011 FallInstructor: Ozan ERUYGURResearch Assistant: Pelin AKAGNPROBLEM SET 01EXPECTATION AND VARIANCE OPERATORSPROBLEM 1 (Exercise 4.17 from textbook)Prove Theorem 4.5.Theorem