使用Python應(yīng)用數(shù)據(jù)分析

CSCI333

AppliedDataAnaly1cswithPython

COURSESYLLABUS:FALL2023

INSTRUCTORINFORMATION

Instructor

MichaelJ.Henry

O?ceLoca7on

ACB1/106

O?ceHours

Byrequest

EmailAddress

michael.henry@

PreferredCommunica7on

Email

ResponseTime

1-2businessdays

COURSEINFORMATION

Credithours:3

Textbook:N/A

References:

Books:

PythonCrashCourse,2ndEdi7on:AHands-On,Project-BasedIntroduc7ontoProgrammingbyEricMaThesISBN-10:1593279280ISBN-13:978-1593279288

IntrotoPythonforComputerScienceandDataScience:LearningtoProgramwithAI,BigDataandTheCloudbyPaulJ.Deitel,andHarveyDeitelISBN-13:978-0135404676ISBN-10:0135404673

Prac7ceofCompu7ngUsingPython,The,StudentValueEdi7on,3rdEdi7on,byWilliamF.Punch,andRichardEnbodyISBN-13:978-0134380315ISBN-10:0134380312

PythonforEveryone,2ndEdi7onbyCayS.Horstmann,RanceD.NecaiseISBN-13:978-1119056553ISBN-10:1119056551

PythonforDataAnalysis:DataWranglingwithPandas,NumPy,andIPython2ndEdi7onbyWesMcKinneyISBN-13:978-1491957660ISBN-10:1491957662

PythonforSocwareDesign:HowtoThinkLikeaComputerScien7st1stEdi7onbyAllenB.Downey(Author).AvailableathTp://

/thinkpython/thinkpython.html

ISBN-13:978-

0521725965ISBN-10:0521725968

AutomatetheBoringStu?withPython:Prac7calprogrammingfortotalbeginnersbyAlSweigart.AvailableathTps://automatetheboringstu?.com/ISBN-10:1593275994ISBN-13:978-1593275990

Websites

Pythonforbeginners:hTps://

/about/gegngstarted/

Jython:hTps://

/

?Learnpython:hTps://

/

Google’sPythonClass:hTps:///edu/python/

ThePythonTutorial:hTps:///3/tutorial/

Tutorialpoint:hTps://

/python/index.htm

Socwarerequired:Wewillbecodingusingthejupyterenvironment.Youmustbeabletoinstallpython,jupyter,andrunthoseprograms(locally)onyourcomputer

COURSEDESCRIPTION

Thiscoursecoversboththeore7calandprac7calaspectsofapplieddatascience,analy7cs,andvisualiza7oninPython.Wewillstartfromgeneralpythonprogrammingbasics,datastructures,andalgorithmdesignwithaheavyemphasisonapplyingdataanalysisandvisualiza7ontechniquestosolvereal-worldproblemsindi?erentdomains.Topicsincludedatarepresenta7on,manipula7onandclearing,visualiza7on,regression,convolu7onalandrecurrentneuralnetworks,reinforcementlearning,modeldevelopmentandevalua7onwithmostup-to-datePythonmodulesandpopulartoolkits.

Prerequisites:COSC2336

Supplementaryinforma7onforthecourseisavailableatD2L.LogonwithyourAccessIDforclassnotes,lectureslides,classannouncements,thecoursesyllabus,andotherinforma7onforthecourse.Youwillsubmityourassignmentsandprojectandcheckgradestheretoo.

StudentLearningOutcomes

Thiscourseissimilartoanexerciseclass.Youlearnnewconceptsandtechniques,andthen,exercisethesenew-foundskills.Attheendoftheclass,studentscan

(SLO333.1)Selfcon?gurevariousPythonprogrammingenvironment.

(SLO333.2)Code,compile,debug,andrunPythonprograms

(SLO333.3)LearnPythonlanguagesyntaxandfundamentalprogrammingconceptsincludingvariables,controlstatements,loops,func7ons,lists,andclasses

(SLO333.4)Usemodulesandtoolstocollect,reshape,analysis,andvisualizedata

(SLO333.5)Developprogramsforvariousreal-worldproblemsbyapplyingdatascience

(SLO333.6)Evaluatedataresultsandmakeop7maldecisions

COURSEREQUIREMENTS

ItisexpectedthatyouhaveatleastanintroductoryknowledgeofPython

ThecourseishostedonD2L,whichcanbeaccessedhere:hTps:///

StudentExpecta7ons

Youwillbeexpectedtodoyourownwork.Youmaycollaboratewithotherstosolvedi?cultproblems,butwhateveryouturninmustbeyourown.

Lateworkwillbeaccepted,butyouwillincura50%o?penalty

Pleaseletmeknowasapifthereareanyques7onsaboutyourgrades

Pleaseusemypreferredemailaddresstogetaholdofme

InstructorExpecta7ons

IwillaTempttogradehomeworksas7melyaspossible,aimingfornolaterthanoneweekacertheassignmentisdue

Idohavetotravelformyjobduringthesemester;IwillletyouknowwhenclassiscancelledandIwillpostmaterialstoD2Ltocoverthemissingcourses.Itisexpectedthatyouviewthosematerials

GRADING

Thestandardmetricforgradeswillbeused:

A=90–100%

B=80–89%

C=70–79%

D=60–69%

F=59%andbelow

Youscorewillbemadeupofthefollowingcomponents:

Assignments 40%

Exam1 20%

Exam2 20%

Project 20%

Thesyllabusandschedulearesubjecttochangeasnecessary.

COURSEOUTLINE

Week1: Intro,PythonOverview

Week2-3: Programmingconcepts,Pythonstructures

Week4-5: Func7onsandDataStructures

Week6: FileI/O,algorithmdesign

Week7: Exam1

Week8: Pythonlibrariesanddatacollec7on

Week9: Scien7?ccompu7ng

Week10: Datamanipula7onandvisualiza7on

Week11-12: MachineLearning

Week13-14: AnalysisandProjectWork

Week15: Exam2

COURSEPOLICIES

TexasA&MUniversity-Commerceacknowledgesthattherearelegi7mateusesofAr7?cialIntelligence,ChatBots,orothersocwarethathasthecapacitytogeneratetext,orsuggestreplacementsfortextbeyondindividualwords,asdeterminedbytheinstructorofthecourse.Anyuseofsuchsocwaremustbedocumented.Anyundocumenteduseofsuchsocwarecons7tutesaninstanceofacademicdishonesty(plagiarism).Individualinstructorsmaydisallowen7relytheuseofsuchsocwareforindividualassignmentsorfortheen7recourse.Studentsshouldbeawareofsuchrequirementsandfollowtheirinstructors’guidelines.Ifnoinstruc7onsareprovidedthestudentshouldassumethattheuseofsuchsocwareisdisallowed.Inanycase,studentsarefullyresponsibleforthecontentofanyassignmenttheysubmit,regardlessofwhethertheyusedanAI,inanyway.Thisspeci?callyincludescasesinwhichtheAIplagiarizedanothertextormisrepresentedsources.

13.99.99.R0.03UndergraduateAcademicDishonesty

hTps:///aboutus/policiesproceduresstandardsstatements/rulesprocedures/13students/undergraduates/13.99.99.R0.03UndergraduateAcademicDishonesty.pdf

Academicintegrityisafundamentaspectofourlearning.TheremightbeAImisuseinthiscourse,par7cularlyplagiarismandunethicalbehavior.Asyourinstructor,Iwouldliketoremindyouoftheseriousconsequencesofsuchac7vi7es.AIshouldbeusedwiselytohelpproduceauthen7candoriginalworkandpromoteproduc7vityandcrea7vity.NoonewantstowitnessthemisuseofAI.

Toaddressthisproblem,Turni7n’sAIwri7ngdetec7on(hTps://

/products/features/ai-wri7ng-detec7on)

isenabledautoma7callyintheD2Ltodetectandpreventplagiarism.Itemployssophis7catedalgorithmstocomparewriTenmaterialtoalargedatabaseofsourcesto?ndsimilari7esorcopiedcontent.Itiscri7caltounderstandthatthesetoolsarenotintendedtoinvadeyourprivacyorundermineyourcrea7vity,butrathertoensurethatyouareproducinguniqueandrealcontent.

University’sacademicintegritypolicyisavailableathTps://

/college-

osusiness/integrity-policy/.ItisoursharedresponsibilitytoencourageacultureofacademicintegrityandpreventAIabuse.

Therearenumerousresourcesavailablerela7ngtoacademicplagiarism.PleasecheckthemalltobuildabeTerunderstandingofacademicplagiarismandavoidacademicplagiarisminwri7ng.

ThePlagiarismSpectrum.hTps://

/sta7c/plagiarism-spectrum/

AvoidingPlagiarisminAcademicWri7ng.hTps:///academics/colleges/humani7essocialsciencesarts/departments/literaturelanguages/documents/?rstyearwri7ngprogram/Avoiding%20Plagiarism.pdf

PlagiarisminAcademia-ERIC.hTps://?/fulltext/EJ909069.pdf

Meo,S.A.,&Talha,M.(2019).Turni7n:Isitatextmatchingorplagiarismdetec7ontool?SaudiJournalofAnaesthesia,13(Suppl1),S48.hTps:///10.4103/sja.SJA_772_18athTps://

/pmc/ar7cles/PMC6398291/

OtherResourcesfromTURNITINareavailableathTps:///facultysta?services/academictechnology/educa7onaltechnology/turnItIn.aspx

ClassDecorumCivilityintheclassroomoronlinecourseandrespectfortheopinionsofotherisveryimportantinanacademicenvironment.Itislikelyyoumaynotagreewitheverythingthatissaidordiscussedintheclassroom/onlinecourse.Courteousbehaviorandresponsesareexpected.Tocreateandpreservealearningenvironmentthatop7mizesteachingandlearning,allpar7cipantssharearesponsibilityincrea7ngacivilandnondisrup7veforum.Studentsareexpectedtoconductthemselvesatall7mesinamannerthatdoesnotdisruptteachingorlearning.Facultyhavetheauthoritytorequeststudentswhoexhibitinappropriatebehaviortoleavetheclass/onlinecourseandmayreferseriouso?ensestotheUniversityPoliceDepartmentand/ortheDeanofStudentsfordisciplinaryac7on.(SeeStudentGuidebook)

ItisthepolicyoftheUniversity,theHistoryDepartment,andtheinstructorthatnoformofplagiarismorchea7ngwillbetolerated.Plagiarismisde?nedasthedeliberateuseofanother’sworkandclaimingitasone’sown.Thismeansideasaswellastext,whetherparaphrasedorpresentedverba7m(word-for-word).Chea7ngisde?nedasobtainingunauthorizedassistanceonanyassignment.Collusionisde?nedassellingorpurchasingacademicproductswiththeinten7onthattheybesubmiTedtoful?llanacademicorcourserequirement.Propercita7onofsourcesmustalwaysbeu7lizedthoroughlyandaccurately.Chea7ng/plagiarism/collusionwillresultinagradeof“0”fortheassignment,andmayalsoresultinfailureofthecourseand/ordisciplinaryac7onbytheUniversity.Anystudentfoundguiltyofviola7ngacademicintegritypolicywillfailtheassignmentinques7on,willautoma7callyfailthecourseandwillbesubjecttodisciplinaryac7onbytheuniversity(seeTexasA&MUniversity-CommerceCodeofStudentConduct5.b.[1,2,3]).Furtherinforma7ononthehistorydepartment’splagiarismpolicycanbefoundonthedepartmentwebpage.Ifyouareunclearaboutwhatcons7tutesacademicdishonesty,ask.

StudentsareencouragedtotakeadvantageoftheWri7ngCenter’sresourcesforassistancewithdracingtheirwriTenassignments.Althoughthecenterwillnotwriteyourpaperforyou,itmayhelpyoutoimproveyourwri7ngskills.IfyouusetheWri7ngCenter,planinadvancebecauseitcanonlyhelpyouifthereisadequate7metoincorporatetheirsugges7onsintoyourpaper.

Addi7onally,Iamwillingtoreadroughdracs(andevenmul7pledracs)ofyourwriTenworksolongasthedracsaresubmiTedatleastoneweekpriortotheduedate.

AllstudentsenrolledattheUniversityshallfollowthetenetsofcommondecencyandacceptablebehaviorconducivetoaposi7velearningenvironment.TheCodeofStudentConductisdescribedindetailintheStudentGuidebook.

hTp://

/Admissions/oneStopShop/undergraduateAdmissions/studentGuideboo

k.aspx

StudentsshouldalsoconsulttheRulesofNe7queTeformoreinforma7onregardinghowtointeractwithstudentsinanonlineforum:Ne7queTehTp://

/ne7queTe/corerules.html

StudentsatTexasA&MUniversity-Commerceareexpectedtomaintainhighstandardsofintegrityandhonestyinalloftheirscholas7cwork.Formoredetailsandthede?ni7onofacademicdishonestyseethefollowingprocedures:

UndergraduateAcademicDishonesty13.99.99.R0.03hTp://

/aboutUs/policiesProceduresStandardsStatements/rulesProcedures/

13students/undergraduates/13.99.99.R0.03UndergraduateAcademicDishonesty.pdf

GraduateStudentAcademicDishonesty13.99.99.R0.10hTp://

/aboutUs/policiesProceduresStandardsStatements/rulesProcedures/

13students/graduate/13.99.99.R0.10GraduateStudentAcademicDishonesty.pdf

TheAmericanswithDisabili7esAct(ADA)isafederalan7-discrimina7onstatutethatprovidescomprehensivecivilrightsprotec7onforpersonswithdisabili7es.Amongotherthings,thislegisla7onrequiresthatallstudentswithdisabili7esbeguaranteedalearningenvironmentthatprovidesforreasonableaccommoda7onoftheirdisabili7es.Ifyouhaveadisabilityrequiringanaccommoda7on,pleasecontact:

O?ceofStudentDisabilityResourcesandServices

TexasA&MUniversity-CommerceGeeLibrary-Room162Phone(903)886-5150or(903)886-5835

Fax(903)468-8148

Email:

studentdisabilityservices@

Website:O?ceofStudentDisabilityResourcesandServiceshTp://

/campusLife/campusServices/studentDisabilityResourcesAndServices/

TexasA&MUniversity-Commercewillcomplyintheclassroom,andinonlinecourses,withallfederalandstatelawsprohibi7ngdiscrimina7onandrelatedretalia7ononthebasisofrace,color,religion,sex,na7onalorigin,disability,age,gene7cinforma7onorveteranstatus.Further,anenvironmentfreefromdiscrimina7ononthebasisofsexualorien