Mark Ward - Learning Communities: An Emerging Platform for Research in Statistics

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Transcript of Mark Ward - Learning Communities: An Emerging Platform for Research in Statistics

JSM2016

MarkDanielWardPurdueUniversity

¡ MCTP:SophomoreTransitions:BridgesintoaStatisticsMajorandBigDataResearchExperiencesviaLearningCommunities

¡  SponsoredbyNationalScienceFoundation,DivisionofMathematicalSciences

¡  $1.5milliongrant

¡  fall2014throughspring2019¡  Vision:Completerevampofhowweteachdataanalysisattheundergraduatelevel

¡  20sophomoreundergraduatesperyear

¡  100students(altogether)by2018

¡  12-monthexperienceforeachsophomore(AugusttoAugust)

¡  12Co-PI’sandSeniorPersonnelfromPurdueStatisticsplus56lettersofcollaboration

¡  AtPurdue:55first-yearlearningcommunitieswith78totalsections…..

¡  butonly3sophomore-yearLC’s!¡  Only13%ofuniversitiesoffersophomore/juniorseminars,while90%offerfirst-yearandseniorseminars.(Berrett,2012)

¡  “In2002-03,only8percentofNSF-fundedundergraduateresearchersweresophomores”

—WilsonandCrowe,2010

¡  Sophomoresarereferredtoinliteratureas:§  “Abandoned”§  “Forgotten”§  “Invisibletotheinstitution”

¡  Sophomoreyearisatimeoftransition:§  Finish(ing)calculus§  Divingintomostfoundationalcoursesinmajor§  Identifyingorrefininglong-termjobgoals

¡  Thesophomoreslumpleadstoattritionof§  Females§ Minorities§  Studentswithdisabilities§  First-generationstudents

¡  Especiallyinthemathematicalsciences…

¡  Sophomoreyearisatimeoftransition!

¡  Only1prerequisite:CalculusIII(MA26100)beforethestartoftheirsophomoreyear.

¡  Nocomputationalorstatisticsrequirements

¡  USCitizens/Nationals/PermanentResidents

¡  Studentsfromanymajorcanapply

¡  For2016-17,≈60apply,butonly20stipends

¡  Sophomoreyearexperiencesthatblendthese4areunknown,nationwide.

¡  Academic(Curricular)

¡  Research

¡  ResidentialLife

¡  ProfessionalDevelopment

¡  Studentschoosefrom50+researchprojects,eachwithadedicatedfacultymentor.

¡  TheyallhaverelevancetoBigDataanalysis.

¡  Notalargespreadsheet,but(often)gigabytesorterabytesofdata.

¡  AtmosphericScience¡  Biostatistics¡  HealthcareEngineering¡  Probability/TheoreticalStatistics¡  HumanDevelopmentandFamilyStudies¡  Consulting¡  CoastalMarginObservationandPrediction¡  SavingNaturewithStatistics(ForestryandNaturalResources)

¡  Biology,andBiomedicalEngineering¡  ChemicalEngineering,andChemistry,¡  CoastalMarginObservationandPrediction,¡  ComputerScience,¡  Economics,¡  ElectricalandComputerEngineering,¡  ForestryandNaturalResources,¡  HealthandHumanSciences,¡  Mathematics,andPhysics,¡  RegenstriefCenterforHealthcareEngineering

¡  Studentsareencouragedtoparticipatein§  Researchliteraturegroups§  Computationalprojects§  Largeresearchgroup/laboratorymeetings§  Conferencecalls§  Meetingswithresearchvisitors§  Discussionswithclinicians/practitioners

¡  Basically,studentsshouldlearnallaspectsofresearchandbevaluedteammembers.

¡  Probability:§  fundamental;randomvariables

¡  StatisticalTheory:§  alsofundamental;buildsonProbabilitycourse

¡  IntroductiontoBigDataAnalysis(new!)§  directlyimpactstheresearcheffort;§  allowsstudentstobuildcomfortwithcomp.stat.

¡  BigDataAnalysisandProbabilityarebothtaughtina“flipped”style

¡  237videosforprobabilitytheory

¡  Eachvideohasfullpageofnotes

¡  BigDataAnalysisisproject-orientedandstudentsworkinteamsallsemester.

¡  Platforms/toolstaughtinnutsandboltsstyle:

§  R(6weeks)§  visualizingdata(2weeks)§  UNIX(1week)§  awk/regularexpressions(1week)§  SQL(2weeks)§  XML(1week)§  Finalpresentationsfromstudents(2weeks)

¡  Studentshaveaparadigmshift

¡  Thedatawillnotfitinlaptop/desktop

¡  Rack-mounted(remoteaccess)serverwith384GBofRAM,50TBofdisk,and24processingcores,fordataanalysisneeds.

¡  Becomeverycomfortablewithcomputing

¡  Facultyasmentorsbeyondclass/research.

¡  Thelifeofafacultycanincludefamily.

¡  Studentdinners§  HillenbrandeveryThursday§  OccasionallyatWardfamilyhome.

¡ Makesascientist’snon-academiclifebemoretangible(graspfullpictureofbeingascientist)

¡  Studentsarepreparedfordata-drivenworkforce§  DataScientists§  Graduateschool(Stat,Math,CS,manyappliedareas)§  Consulting,R&D,analytics,databases,etc…

¡  Alsolearnfromnetworkingwithalumni

¡  Bigpictureofwhatmattersintheworkforce:§  howtopartnerwithteammates§  communicatetheirresults§  problemsolving(e.g.,howtogetunstuck)

¡  TheDepartmentofStatisticswouldlovetokeeptheSTAT-LLCoperating,longaftertheNSFgranthasexpired.

¡  Wehaveapproximately450studentspursuingaStatisticsmajor.

¡  PurdueStatisticsisoneofthelargestUGStatprograms…andmanystudentsareinterestedinpursuingdatascience!

Questions:MarkDanielWardmdw@purdue.edu