《Quantitative and Qualitive Analysis》课程教学大纲

ADDINCNKISM.UserStyle《QuantitativeandQualitativeAnalysis》课程教学大纲（理论课程）一、课程基本信息课程号0423S14002开课单位管理学院课程名称QuantitativeandQualitativeAnalysis课程性质必修考核类型考试课程学分3课程学时51课程类别专业核心课先修课程微积分、线性代数、概率论与数理统计适用专业（类）人力资源管理（中外合作）二、课程描述及目标（一）课程简介QuantitativeAnalysisisamethodologysciencetostudytheoverallquantitativecharacteristicsofobjectivephenomena.QuantitativeAnalysisisthecorecourseofeconomicsandmanagementmajorsstipulated,aswellasthebasicandmaincoursesofeconomicsandmanagementrelatedmajors.Thiscourseisbasedonthebasicconcepts,theoriesandmethodsofmodernstatistics,andprovidesthenecessaryprofessionalbasisforprovidingstatisticalinformation,applyingstatisticalmethodsandmakingstatisticaldecisions.This course requires teachers to teach students the ability to acquire knowledge and solve problems independently by mastering the basic theory, basic knowledge and basic skills through theoretical teaching, classroom discussion and practice. Professional courses and future practical work to lay a solid theoretical foundation.二、教学目的QuantitativeAnalysisisoneoftherequiredandcorecoursesforfinanceandeconomicsmajorsincollegesanduniversities.Inordertoenablestudentstomasterthemethodsofdatacollection,processing,analysisandpredictionundertheconditionsofmarketeconomy,thiscoursewillexplainthespecificapplicationofstatisticalanalysismethodsinpracticalworkbasedonthedetailedexplanationofstatisticaltheory,andstrivetoreflectthecombinationofquantitativeandobjectivepointsofstatistics.Onsuccessfulcompletionofthismodulethelearnerwillbeableto:Objective1:Systematicallymasterthebasicideas,theories,knowledgeandmethodsofstatistics.Objective2:Understandandmemorizebasicconceptsandcategoriesofstatistics.Objective3:Masterandbeabletousebasicstatisticalmethodsandtechniquesforstatisticaldesign,statisticalinvestigation,statisticalarrangementandcertainstatisticalanalysis,sothatstudentscanmasterandapplythetoolfortheirownprofessionalservices,soastoimprovestudents'scientificresearchandpracticalworkability.三、课程目标对毕业要求的支撑关系毕业要求指标点课程目标权重1-2：专业性知识Objective1Objective2Objective30.502-2：专业能力Objective2Objective30.253-2：专业素质Objective1Objective2Objective30.25四、教学方式与方法Accordingtothestatisticaldesign,datacollection,statisticaldescriptionandinference,thebasicprocessofanalyticalapplications,flexibleuseofmultimediateaching,caseteachingmethod,interactiveteaching,sceneteachingmethodandvariousteachingmethods,appropriateauxiliarygroupdiscussion,theinductionstepbystep,inspireandencouragestudentstothinkactively,activelyparticipateindiscussionsandopinionsandinspection.Teachingandlearningcoordinateinteraction,learningandpracticecloselypromote,andfinallyachievethegoalofmakingstudentseffectivelymastertheknowledge.五、教学重点与难点（一）教学重点•GraphicalPresentationofData•NumericalSummaryofData•Theroleofprobabilityinstatistics•Approachestoassigningprobabilities•Rulesofadditionandmultiplicationforcomputingprobability•ConditionalprobabilityRandomvariables•Mean,varianceandstandarddeviationofaprobabilitydistribution,theconceptofexpectedvalue•Binomialprobabilitydistribution•Normalprobabilitydistribution•StandardizationsandprobabilitiesunderanormalcurveSamplingmethods•Samplingdistributionofthesamplemean•CentralLimitTheorem•Pointestimatesandconfidenceintervalsforamean（二）教学难点•NumericalSummaryofData•Approachestoassigningprobabilities•Rulesofadditionandmultiplicationforcomputingprobability•ConditionalprobabilityRandomvariables•Normalprobabilitydistribution•StandardizationsandprobabilitiesunderanormalcurveSamplingmethods•Samplingdistributionofthesamplemean•Pointestimatesandconfidenceintervalsforamean六、教学内容、基本要求与学时分配序号教学内容基本要求学时教学方式对应课程目标11.Introduction•Definitionandroleofstatistics•Descriptivevs.InferentialStatistics•Typesofdataandscalesofmeasurement6Lecture Objective1Objective222.GraphicalPresentationofData•Frequencytablesandfrequencydistributions•Graphicalpresentationofqualitativedata•Graphicalpresentationofquantitativedata•Relationshipbetweentwovariables:contingencytablesandscatterdiagrams9Lecture and PracticeObjective2Objective333.NumericalSummaryofData•Measuresofcentraltendency–mean,median,mode,geometricmean•Measuresofdispersion–range,meandeviation,populationandsamplevarianceandstandarddeviation•Interpretationandusesofthestandarddeviation•Skewness9Lecture, discussion and PracticeObjective2Objective344.Probability•Theconceptandlanguageofprobability•Theroleofprobabilityinstatistics•Approachestoassigningprobabilities•Rulesofadditionandmultiplicationforcomputingprobability•Conditionalprobability•Principlesofcounting(permutationandcombinationformulas)9Lecture, discussion and PracticeObjective2Objective355.ProbabilityDistributions•Theconceptofprobabilitydistribution•Randomvariables•Mean,varianceandstandarddeviationofaprobabilitydistribution,theconceptofexpectedvalue•Binomialprobabilitydistribution•Normalprobabilitydistribution•Standardizationsandprobabilitiesunderanormalcurve9Lecture