ait - leadership in big data intelligence with small details and ait 在小细节大数据智能领导

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1、AIT690-001Syllabus–v1January1,2013InitialSyllabus(DRAFT)Instructor:Office:Phone:E-mail:OfficeHours:C.RandallHoward,Ph.D.,PMPVolgeneauEngineeringBuildingRoom5323(703)899-3608choward@gmu.edubyappointmentGraduateAssistant:Office:Phone:E-mail:OfficeHours:TBDbyappointmentTBDCourse

2、#:AIT690-001Section:001CRN:20863CatalogTitle:AIT690-AdvTopicsAppliedTechnologyCourseTitle:LeadershipinBigDataIntelligencewithSmallDetailsandTimeTerm:Spring2013Time:Tuesday,19:20-22:00Building:PlanetaryHallRoom:126Pre-Requisites:AdmissiontoMason’sAppliedITprogram,orpermissiono

3、finstructor.CourseReadings:·Designatedw/sessiontopicsbelow·IMPORTANTNOTE:ThematerialpostedforreadingandisNOTtobedistributed,postedorusedoutsideoftheAIT690-001session.ThematerialiscopyrightedandisIntellectualPropertyoftheindividualsorcompanieswhohaveallowedMasontouseitfortheBi

4、gDataIntelligencetopic.CourseThemes:LeadershipinBigDataIntelligencewithSmallDetailsandTimeExploringMetadatainBigDataIntelligenceCourseDescription:Exploreleadership,management,technicalandanalyticalissues,solutionsandassociatedgapsinprocessinganever-increasingvolumeofdata(BigD

5、ata)byleveragingmeta-tagsandmetadata(SmallDetails).Theend-goalistoincreasethethroughputoffindingcredible“factsofinterest”(Intelligence)thatrepresentthreatsto,orevenopportunitiesfor,agivenindustryordomain(e.g.insurance,financial,nationalsecurity,etc.)wherefrequentlythereisonly

6、alimitedwindowoftime(SmallTime)toavertanundesirableeventorseizetheopportunity.OR:“Whatarewelearning”,“Whatdoweknowsofar”and“Wedon’tknowwhatwearedoing”aboutBigDataIntelligence(BDI).LearningObjectives:·GainappreciationforBigDataIntelligenceLandscapeandChallenges·Understandmetad

7、ata'sroleandgaininsightsinBigDataIntelligenceSystems(BDIS)·Contributetoshapeproblem&solutionspace·BecomefamiliarwithusingprocessingandanalyticwithtoolsandtechniquesGradingTable1.GradingDistributionItemPercentageIndividualAssignments45%Project/CaseStudyWork40%Professor'sDiscre

8、tion15%Table2.GradingScaleLetterGradeNumericalRangeA+97-100A92-96A-9