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Toledo - BUAD - 3010
NewConceptsChapter4MarketingInformationSystem(MIS)Sourcesofinformation Internaldata MarketingIntelligence MarketingResearchStagesinthemarketingresearchprocessExploratory,descriptive,andcausalresearchSecondaryvs.PrimarydataResearchplandecisionsR
Toledo - BUAD - 2050
CHAPTER 1ManagementAccounting andCorporateGovernanceOutline Accounting Management accounting Cost, concepts and classifications Product costing Corporate governance & ethicsAccountingInformationUsersCategoriesAccountingAccounting System(a
Toledo - BUAD - 2050
CHAPTER 2Cost Behavior, Operating Leverage, and Profitability AnalysisChapter OverviewI. Cost Behavior ClassificationI. II.Variable vs. Fixed Cost Mixed Cost Methods to estimate CostII. Analysis of Cost BehaviorI.III. Operating Leverage andProfit
Toledo - BUAD - 2050
CHAPTER 3 Analysis of Cost, Volume, and Pricing to Increase ProfitabilityCost-Volume-Profit (CVP) AnalysisWhat is CVP analysis?Breakeven Point What? How? Contribution margin Equation GraphChapter OutlineApplications Target profit Margin of Safety C
Toledo - BUAD - 2050
CHAPTERS 4 & 12Cost Accounting: Tracing, Allocation & SystemsChapter OutlineCost Accounting Determining cost of objectsClassifying Cost according to Traceability Allocating Indirect (overhead) cost Cost pools, drivers and process of allocation Alloc
Toledo - ACCT - 4310
FINAL EXAM REVIEWACCT 4310FALL 2011A. EXAM 1 COVERAGE-Exam 1 covers the following chapters:o Chapter 2: An introduction to cost terms and purposeso Chapter 4: Job Costingo Chapter 5: Activity-Based Costing and Activity-Based Managemento Chapter 1
Toledo - ACCT - 4310
Final Exam ReviewDate and DurationExam date: Monday, December 12, 2011Duration: 120 minutesCoverageChapter 2: An introduction to cost terms andpurposesChapter 4: Job CostingChapter 5: Activity-Based Costing andActivity-Based ManagementChapter 10
Toledo - ACCT - 4310
Quiz 2Question 1An experience curve:A) is a narrower application of the learning curveB) measures the decline in cost per unit as production decreases for various value-chainfunctions such as marketing as production increasesC) only measures the dec
Toledo - ACCT - 4310
Quiz 3Question 1All of the following illustrate purposes for allocating costs to cost objects EXCEPT to:A) provide information for economic decisionsB) motivate managers and employeesC) determine a selling price the market will bearD) measure income
Toledo - ACCT - 4310
ACCT 4310Quiz 4 Questions and AnswersFall 20111. For pricing decisions, full product costs:A) include all costs that are traceable to the productB) include all manufacturing and selling costsC) include all direct costs plus an appropriate allocation
UNSW - ACCT1501 - 1501
PeerAssistanceSupportScheme(PASS)ACCT1501AccountingandFinancialManagement1ASession1,2012WhatexactlyisPASS?Essentially PASS is an alternative forum for you to seek help with either the coreaccounting subjects or university life. PASS is usually run by
UNSW - ACCT1501 - 1501
Australian School of BusinessSchool of AccountingACCT1501ACCOUNTING AND FINANCIALMANAGEMENT 1ACOURSE OUTLINESEMESTER 1, 2012TABLE OF CONTENTSPART A. COURSE SPECIFIC INFORMATION11. STAFF CONTACT DETAILS12. COURSE DETAILS22.1. Teaching Times a
UNSW - ACCT1501 - 1501
ACCT 1501 2012 Session 1 Consultation TimetableTime9:009:3010:0010:3011:0011:30MondayTuesdayTaraRoom 3089CaroneRoom 3089LiRoom 3089MichelleRoom 3089KarenRoom 3089WednesdayThursdayAlexRoom 3089AbarnaRoom 3089StellaRoom 3089Cece
UNSW - ACCT1501 - 1501
ACCT1501 Session 1 2012 Lecture & Tutorial TimetableHourMondayTuesdayTutorWednesdayTutorThursdayTutorFridayTutorTutorMorvB G6Quad G032MichelleASB 105AlexQuad G035CaroneLiQuad G034TaraQuad 1047CandiceQuad G052JeffreyMatSc G11Romm
UNSW - ACCT1501 - 1501
UNIVERSITY OF NEW SOUTH WALESSchool of AccountingAustralian School of BusinessGUIDELINES ON THE PRESENTATIONOF WRITTEN ASSIGNMENTSINCORPORATING MATERIAL PREPARED BY THE EDUCATIONDEVELOPMENT UNIT IN THE AUSTALIAN SCHOOL OF BUSINESS1UNIVERSITY OF NE
UNSW - ACCT1501 - 1501
THEUNIVERSITYOFNEWSOUTHWALESSCHOOLOFACCOUNTINGACCT1501AccountingandFinancialManagement1ASession1,2012MIDSESSIONCLASSTESTANNOUNCEMENTExamdate:Inyourtutorialtimeslottheweekbeginning16April2012Testduration:45minutesTestSessionandTimes:YournormalTut
UNSW - ACCT1501 - 1501
COMP1917: Computing 11. IntroductionReading: Moffat, Chapter 1.COMP1917c UNSW, 2011COMP1917 11s2Introduction1Course Web Sitehttp:/www.cse.unsw.edu.au/~cs1917/11s2Please check this Web Site regularly for updated information, including:Course Out
UNSW - ACCT1501 - 1501
COMP1917: Computing 12. Numbers In, Numbers OutReading: Moffat, Chapter 2.COMP1917c UNSW, 2011COMP1917 11s2Numbers In, Numbers Out1The Art of Programming Think about the problem Write down a proposed solution Break each step into smaller steps
UNSW - ACCT1501 - 1501
COMP1917: Computing 13. Making ChoicesReading: Moffat, Chapter 3.COMP1917c UNSW, 2011COMP1917 11s2Making Choices1Outlinethe if constructrelational and logical operatorsconditional expressionsif-elseswitchCOMP1917c UNSW, 2011COMP1917 11s2M
UNSW - ACCT1501 - 1501
COMP1917: Computing 14. LoopsReading: Moffat, Chapter 4.COMP1917c UNSW, 2011COMP1917 11s2Loops1LoopsOne thing you often need to do in procedural programs is to perform aseries of statements repeatedly.C has the following loop constructs:Type 1
UNSW - ACCT1501 - 1501
COMP1917: Computing 15. FunctionsReading: Moffat, Chapter 5.COMP1917c UNSW, 2011COMP1917 11s2Functions1Programming Language PrinciplesFour techniques provided by almost all programming languages:Calculation: doing arithmetic to compute new value
UNSW - ACCT1501 - 1501
COMP1917: Computing 16. Binary and HexadecimalReading: Moffat, Section 13.2COMP1917c UNSW, 2011COMP1917 11s2Binary and Hexadecimal1OutlineNumber SystemsBinary ComputationConverting between Binary and DecimalOctal and HexadecimalFractional Com
UNSW - ACCT1501 - 1501
COMP1917: Computing 17. Number Storage and AccuracyReading: Moffat, Section 13.2COMP1917c Alan Blair, 2011COMP1917 11s2Number Storage and Accuracy1OutlineBinary ArithmeticNegative NumbersOverowFloating PointRoundoff ErrorsType ConversionCOM
UNSW - ACCT1501 - 1501
COMP1917: Computing 18. Characters and ArraysReading: Moffat, Section 7.1-7.5COMP1917c Alan Blair, 2011COMP1917 11s2Characters and Arrays1ASCIIThe ASCII table gives a correspondence between characters andnumbersbehind the scenes, a char behaves
UNSW - ACCT1501 - 1501
COMP1917: Computing 19. PointersReading: Moffat, Chapter 6.COMP1917c Alan Blair, 2011COMP1917 11s2Pointers1PointersPointers:a pointer is a special type of variable for storing the memory locationor address of another variablepointers shouldnt
UNSW - ACCT1501 - 1501
COMP1917: Computing 110. Strings and FilesReading: Moffat, Section 7.6-7.10, Chapter 11.COMP1917c Alan Blair, 2011COMP1917 11s2Strings and Files1OutlineString formatCharacter pointersString functionsCommand-line arguments (using argc and argv[
UNSW - ACCT1501 - 1501
COMP1917: Computing 111. Writing a MakeleCOMP1917c UNSW, 2011COMP1917 11s2Writing a Makele1Introductionmake is a utility that is used by programmers to manage the process ofrecompiling their code.The actions of the make utility is governed by a
UNSW - ACCT1501 - 1501
COMP1917: Computing 112. DebuggingCOMP1917c UNSW, 2011COMP1917 11s2Debugging1OverviewProgramming cycleDo-it-yourself debuggingDebugging with gdbNastier bugsMemory leaksCOMP1917c UNSW, 2011COMP1917 11s2Debugging2Developing Programs1. Und
UNSW - ACCT1501 - 1501
COMP1917: Computing 113. StructuresReading: Moffat, Chapter 8.COMP1917c Alan Blair, 2011COMP1917 11s2Structures1OverviewType DenitionsBooleansStructure NotationPassing Structures as ParametersPointers to StructuresNested StructuresReturning
UNSW - ACCT1501 - 1501
COMP1917: Computing 114. Linked ListsReading: Moffat, Section 10.1-10.2COMP1917c Alan Blair, 2011COMP1917 11s2Linked Lists1OverviewSelf-referential structuresLinked ListsList operationsStacksOrdered listsCOMP1917c Alan Blair, 2011COMP1917
UNSW - ACCT1501 - 1501
COMP1917: Computing 115. Stacks and QueuesReading: Moffat, Section 10.1-10.2COMP1917c Alan Blair, 2011COMP1917 11s2Stacks and Queues1OverviewStacksQueuesAdding to the Tail of a ListEfciency IssuesQueue StructureStack Application: Postx Calcu
UNSW - ACCT1501 - 1501
COMP1917: Computing 116. Binary Search TreesReading: Moffat, Section 10.3, 10.5COMP1917c Alan Blair, 2011COMP1917 11s2Binary Search Trees1Binary Search Trees - Motivationa Linked List is a one-dimensional recursive structure each nodehas one poi
UNSW - ACCT1501 - 1501
COMP1917: Computing 117. Memory and Stack FramesCOMP1917c Alan Blair, 2011COMP1917 11s2Memory and Stack Frames1OverviewComputer SystemsMemory MapStatic and Dynamic VariablesFunction CallsStack FramesStack OverowCOMP1917c Alan Blair, 2011CO
UNSW - ACCT1501 - 1501
COMP1917: Computing 118. Machine LanguageCOMP1917c Alan Blair, 2011COMP1917 11s2Machine Language1Computer SystemsRecall: modern computer systems are layered.ApplicationsProgramming LanguageOperating SystemAssembly LanguageRaw MachineCOMP1917
UNSW - ACCT1501 - 1501
COMP1917: Computing 119. Sorting and EfciencyReading: Moffat, Section 12.1,12.6COMP1917c Alan Blair, 2011COMP1917 11s2Sorting and Efciency1OverviewEfciencySortingSelectionSortMergeSortAnalysisCOMP1917c Alan Blair, 2011COMP1917 11s2Sorting
UNSW - ACCT1501 - 1501
COMP1917: Higher Computing 119. Course ReviewCOMP1917c UNSW, 2011COMP1917 11s2Review1Topics Covered10. Strings and Files1. Introduction2. Numbers In, Numbers Out3. Making Choices4. Loops5. Functions6. Binary and Hexadecimal7. Number Storage
UNSW - ACCT1501 - 1501
Australian School of BusinessSchool of Information Systems, Technology and ManagementINFS 1603BUSINESS DATABASESCOURSE OUTLINESESSION 2, 2011INFS1603 Business Databases, s2 20111Table of Content1. STAFF CONTACT DETAILS2. COURSE DETAILS332.1 T
UNSW - MATH1151 - 1151
Australian School of BusinessSchool of Information Systems, Technology and ManagementORACLE LAB MANUALUNSWSISTMLab ManualDocument Update:AuthorVincent PangDateFeb, 2011Versionv1.00References:The following referencing materials were used to c
UNSW - MATH1151 - 1151
MATH1131 Mathematics 1AALGEBRA PROBLEMSSemester 2 2011Copyright 2011 School of Mathematics and Statistics, UNSWContentsAlgebra . . . . . . . . . . . . . . . .Syllabus and lecture timetableProblem schedule . . . . . . . .Test schedule . . . . . . .
UNSW - MATH1151 - 1151
MATH1131 Mathematics 1ACALCULUS PROBLEMSSemester 2 2011Copyright 2011 School of Mathematics and Statistics, UNSWContentsCalculus . . . . . . . . . . . .Syllabus for MATH1131Problem schedule . . . .Test schedule . . . . . .............
UNSW - MATH1151 - 1151
FIRST YEAR MATHEMATICS AND STATISTICSCONSULTATION HOURSSession 2, 2011TIME10-1212-12-33-44-5TIME9-1010-1111-1212-12-33-44-5TIME10-1111-122-33-44-5TUTORSteelePahorBritzYunYunCaiGrundlingTUTORCaiBritzJefferiesDoustSchief
UNSW - MATH1151 - 1151
THE UNIVERSITY OF NEW SOUTH WALESSCHOOL OF MATHEMATICS AND STATISTICSOctober/November 2009MATH1131Mathematics 1A(1) TIME ALLOWED Two (2) hours(2) TOTAL NUMBER OF QUESTIONS 4(3) ANSWER ALL QUESTIONS(4) THE QUESTIONS ARE OF EQUAL VALUE(5) ANSWER EA
UNSW - MATH1151 - 1151
THE UNIVERSITY OF NEW SOUTH WALESSCHOOL OF MATHEMATICS AND STATISTICSSemester 2 2010MATH1131MATHEMATICS 1A(1) TIME ALLOWED 2 hours(2) TOTAL NUMBER OF QUESTIONS 4(3) ANSWER ALL QUESTIONS(4) THE QUESTIONS ARE OF EQUAL VALUE(5) ANSWER EACH QUESTION
UNSW - MATH1151 - 1151
MATH1131 Mathematics 1AINFORMATION BOOKLETSemester 2 2011Copyright 2011 School of Mathematics and Statistics, UNSW1CONTENTS OF THEMATH1131 COURSE PACK 2011Your course pack should contain the following four items:1. Information BookletInformation
UNSW - MATH1151 - 1151
UNIVERSITY OF NEW SOUTH WALESSCHOOL OF MATHEMATICS AND STATISTICSANSWERS TO SOME FREQUENTLY ASKED QUESTIONSABOUT 1ST YEAR COURSESSemester 2, 2011TheSchoolofMathematicsandStatisticsislocatedintheeasternendoftheREDCENTREbuilding.CommencementofSemester
UNSW - MATH1151 - 1151
LECTURE 1COMPLEX NUMBERSi=1A complex number takes the form x + iy where x, y R.For a complex number z = x + iy , x is referred to as the real part of z and y theimaginary part of z .i2 = 1Hello and Welcome to the Algebra strand of the Math1131 cou
UNSW - MATH1151 - 1151
LECTURE 2COMPLEX NUMBERSz = x + iy is a complex number.Re(z )=x (the real part of z ).Im(z )=y (the imaginary part of z ).z = x iy (the conjugate of z )Last lecture we looked at the denition, addition, subtraction and multiplication ofcomplex numbe
UNSW - MATH1151 - 1151
LECTURE 3COMPLEX NUMBERSz = x + iy|z | =Complex Numberx2 + y 2If = Arg(z ) then tan() =Modulusy.xArgument < Arg(z ) z = rcfw_cos() + i sin()Polar FormTHE ARGAND DIAGRAMWe will now develop a pictorial representation of C through the Argand
UNSW - MATH1151 - 1151
LECTURE 4COMPLEX NUMBERSei = cos() + i sin()(ei )n = einEulers FormulaDe Moivres TheoremIf z = r1 ei1 and w = r2 ei2 thenz = r1 ei1zw = r1 r2 ei(1 +2 )zr1= ei(1 2 )wr2That is|zw| = |z |w||z |z| |=w|w|Arg(zw)=Arg(z )+Arg(w) (2k )andz
UNSW - MATH1151 - 1151
LECTURE 5COMPLEX NUMBERSei = cos() + i sin()ei(2k) = eiEulers FormulaYou can always add or subtract complete revolutions1cos(n) = (ein + ein )21sin(n) = (ein ein )2iRoots of Complex numbersUsing DeMoivres theorem way can nd the n solutions of
UNSW - MATH1151 - 1151
LECTURE 6COMPLEX NUMBERS|z | is interpreted as the length of the vector from to zArg(z ) is the direction of the vector from to z .Geometrical Applications of Complex NumbersWe have approached complex numbers from a Cartesian and then a polar point o
UNSW - MATH1151 - 1151
LECTURE 7COMPLEX NUMBERSThe remainder r when p(z ) is divided by z is given by r = p()If z = is a root of a real polynomial then so too is z = (z )(z ) is the real quadratic z 2 2Re() + |2 for all complex COMPLEX POLYNOMIALSA complex polynomial take
UNSW - MATH1151 - 1151
LECTURE 8VECTORS IN R2A vector quantity is anything that is specied by both a magnitude and a direction.by |v|=x2 + y 2xythe magnitude of v (denoted by |v|) is givenyand the direction of v is determined through tan() = .xGiven an algebraic vect
UNSW - MATH1151 - 1151
LECTURE 9VECTORS IN SPACEnR=x1x2..xn x1 , x2 , x3 . . . , xn Rwhere x1 , x2 , xn are referredx1 x2The magnitude of the vector v = ..xnto as the components of the vector. is given by |v| =x2 + x2 + x2 + x2321nx1x2Given two points A
UNSW - MATH1151 - 1151
LECTURE 10LINES IN SPACEThe parametric vector equation of a line in R3 passing through the point P andparallel to the vector v is given byx y = P + vt; t RzLINES IN R3We turn now to the central question: How do we describe a line in space?. Letss
UNSW - MATH1151 - 1151
LECTURE 11PLANES IN SPACEThe parametric vector equation of a line in Rn passing through the point Pparallel to the vector v is given byx = P + vt; t RThe parametric vector equation of a plane though a point P and parallel to twovectors v1 and v2 is
UNSW - MATH1151 - 1151
LECTURE 12LINES AND PLANES IN SPACE (CONTINUED)The parametric vector equation of a line in Rn passing through the point Pparallel to the vector v is given byx = P + vt; t RThe parametric vector equation of a plane though a point P and parallel to two
UNSW - MATH1151 - 1151
LECTURE 13GAUSSIAN ELIMINATION PART 1Any augmented matrix may be reduced to echelon form via the elementary rowoperationsRi = Ri RjandRi RjOnce in echelon form the system may be solved via back-substitution.We will now develop an extremely eective
UNSW - MATH1151 - 1151
LECTURE 14GAUSSIAN ELIMINATION PART 2Any Augmented matrix may be reduced to echelon form via the row operationsRi = Ri RjandWe can pivot o above to killRi Rjbelow by using Ri = Ri Rj .Once in echelon form the system may be solved via back-substitu
UNSW - MATH1151 - 1151
LECTURE 15GAUSSIAN ELIMINATION PART 3 (INFINITE SOLUTIONS)An inconsistent equation at any stage of reduction indicates that there is nosolution and you may stop. ElseIf every column on the LHS is a leading column then the solution is unique. ElseThe
UNSW - MATH1151 - 1151
LECTURE 16GAUSSIAN ELIMINATION APPLICATIONSWhen setting up a modeling Gaussian Elimination question make sure that allyour variables are declared.Remember that systems are most likely to have unique solutions but can also haveno solution (inconsisten