B. Sc. Artificial Intelligence and Data Science 學(xué)士人工智能和數(shù)據(jù)科學(xué)

B.Sc.ArtificialIntelligenceandDataScience

Syllabus

AFFILIATEDCOLLEGES

ProgramCode:***

2022–2023onwards

BHARATHIARUNIVERSITY

(AStateUniversity,Accreditedwith“A”GradebyNAAC,Ranked13thamongIndianUniversitiesbyMHRD-NIRF,

WorldRanking:Times-801-1000,Shanghai-901-1000,URAP-982)

Coimbatore-641046,TamilNadu,India

B.Sc.ArtificialIntelligenceandDataScience2022-23onwards-AffiliatedColleges-AnnexureNo.28(a)(8)

SCAADATED:30.06.2022

Page

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ProgrammeEducationalObjectives(PEOs)

TheB.Sc.ArtificialIntelligenceandDataScienceprogramdescribeaccomplishmentsthatgraduatesareexpectedtoattainwithinfivetosevenyearsaftergraduation

PEO1

Applytheknowledgeofmathematics,science,engineeringfundamentals,andanengineeringspecializationtothesolutionofcomplexengineeringproblems.

PEO2

Identity,formulate,reviewresearchliteratureandanalyzecomplexengineeringproblemsreachingsubstantiatedconclusionsusingprinciplesofmathematics,naturalsciences.

PEO3

Designsolutionsforcomplexengineeringproblemsanddesignsystemcomponentsorprocessesthatmeetthespecifiedneedswithappropriateconsiderationforthepublichealth,safety,andthecultural,societal,andenvironmentalconsiderations.

ProgrammeSpecificOutcomes(PSOs)

AfterthesuccessfulcompletionofB.Sc.ArtificialIntelligenceandDataScienceprogramthestudentsareexpectedto

PSO1

GraduatesshouldbeabletoevolveAIbasedefficientdomainspecificprocessesforeffectivedecisionmakinginseveraldomainssuchasbusinessandgovernancedomainsforArtificialIntelligenceandDataScience

PSO2

Applythetechnicalandcriticalthinkingskillsinthedisciplineofartificial

IntelligenceandDataSciencetofindsolutionsforcomplexproblems.

PSO3

DevelopandCreate,select,applythetheoreticalknowledgeofAIandDataAnalyticsalongwithpracticalindustrialtoolsandtechniquestomanageandsolvewickedsocietalproblems

PSO4

Demonstratetheabilitytocreateinnovativesolutionsfromideatoproduct,applyingscientificmethodsandtools

PSO5

Provideinnovativeideastoinstigatenewbusinessventuresinthehospitalityindustry

ProgrammeOutcomes(POs)

OnsuccessfulcompletionoftheB.Sc.ArtificialIntelligenceandDataScience

PO1

Exhibitgooddomainknowledgeandcompletestheassignedtasks

effectivelyandefficientlyinparwiththeexpectedqualitystandards.

PO2

Applyanalyticalandcriticalthinkingtoidentify,formulate,analyzeandsolve

complexproblemsinordertoreachauthenticatedconclusions

PO3

Designanddevelopresearchbasedsolutionsforcomplexproblemswithspecifiedneedsthroughappropriateconsiderationforthepublichealth,safety,cultural,societal

andenvironmentalconcerns.

PO4

EstablishtheabilitytoListen,read,proficientlycommunicateandarticulate

complexideaswithrespecttotheneedsandabilitiesofdiverseaudiences.

PO5

Deliverinnovativeideastoinstigatenewbusinessventuresandpossessthe

qualitiesofagoodentrepreneur.

PO6

Acquirethequalitiesofagoodleaderandengageinefficientdecisionmaking.

PO7

Graduateswillbeabletoundertakeanyresponsibilityasanindividual/memberof

multidisciplinaryteamsandhaveanunderstandingofteamleadership

PO8

Functionassociallyresponsibleindividualwithethicalvaluesandaccountableto

ethicallyvalidateanyactionsordecisionsbeforeproceedingandactivelycontributetothesocietalconcerns.

PO9

Identifyandaddressowneducationalneedsinachangingworldinwayssufficienttomaintainthecompetenceandtoallowthemtocontributetotheadvancementof

knowledge

PO10

Demonstrateknowledgeandunderstandingofmanagementprinciplesandapply

thesetooneownworktomanageprojectsandinmultidisciplinaryenvironment.

BHARATHIARUNIVERSITY::COIMBATORE641046

B.Sc.ArtificialIntelligenceandDataScience(CBCSPATTERN)

(Forthestudentsadmittedfromtheacademicyear2022-2023andonwards)

SchemeofExamination

Part

TitleoftheCourse

Hours/Week

Examination

Credits

Duration

inHours

MaximumMarks

CIA

CEE

Total

SemesterI

I

Language-I

6

3

50

50

100

4

II

English-I

6

3

50

50

100

4

III

Core1:FundamentalsofComputerProgramming

4

3

50

50

100

4

III

Core2:DataStructures

4

3

50

50

100

4

III

CoreLab1:ComputerProgrammingLab

3

3

25

25

50

2

III

Allied1:LinearAlgebra

5

3

50

50

100

4

IV

EnvironmentalStudies*

2

3

-

50

50

2

***Add-onCourses-NaanMudhalvanScheme:LanguageProficiencyforEmployability

Total

30

275

325

600

24

SemesterII

I

Language–II

6

3

50

50

100

4

II

English–II

4

3

25

25

50

2

III

Core3:IntroductiontoPythonProgramming

5

3

50

50

100

4

III

CoreLab2:PythonProgrammingLab

3

3

25

25

50

2

III

CoreLab3:InternetBasicsLab

3

3

25

25

50

2

III

Allied2:OptimizationTechniques

5

3

50

50

100

4

IV

ValueEducation–HumanRights*

2

3

-

50

50

2

&NaanMuthalvan-SkillCourse

EffectiveEnglish

http://kb.naanmudhalvan.in/images/c/c7/Cambridge_Course_Details.pdf

2

2

25

25

50

2

Total

30

250

300

550

22

SemesterIII

III

Core4:InternetProgramming

6

3

50

50

100

4

III

Core5:FoundationofArtificialIntelligence

6

3

50

50

100

4

III

CoreLab4:InternetProgrammingLab

5

3

50

50

100

4

III

Allied3:OperatingSystemDesign

6

3

50

50

100

4

III

SkillbasedSubject1:DataAnalytics

5

3

30

45

75

3

IV

Tamil**/AdvancedTamil*(OR)Non-

majorelective-I(YogaforHumanExcellence)*/Women’sRights*

2

3

-

50

50

2

***Add-onCourses-NaanMudhalvanScheme:DigitalSkillsForEmployability

Total

30

230

295

525

21

SemesterIV

III

Core6:CognitiveScienceandAnalysis

6

3

50

50

100

4

III

Core7:DatabaseDesignandManagement

4

3

25

25

50

2

III

CoreLab5:DatabaseProgrammingLab

3

3

50

50

100

4

III

Allied4:DataandInformationSecurity

5

3

50

50

100

4

III

Elective–I:DataMining/SoftwareEngineering/CompilerDesign

5

3

50

50

100

4

III

SkillbasedSubject2Lab:CapstoneProjectWorkPhaseI

2

3

30

45

75

3

IV

Tamil**/AdvancedTamil*(OR)Non-majorelective-II(GeneralAwareness*)

2

3

-

50

50

2

***NaanMuthalvan–SkillCourse

OfficeFundamentals-Lab

http://kb.naanmudhalvan.in/Bharathiar_University

_(BU)

3

2

25

25

50

2

Total

30

280

345

625

25

SemesterV

III

Core8:EthicsofArtificialIntelligence

6

3

50

50

100

4

III

Core9:FundamentalsofDataScience

6

3

50

50

100

4

III

CoreLab6:DataScienceLab

3

3

50

50

100

4

III

Elective–II:WebApplicationSecurity/ClientServerComputing/ComputerNetworks

6

3

50

50

100

4

III

Elective–III:BigDataAnalytics/CyberSecurity/DeepLearning

6

3

50

50

100

4

III

SkillbasedSubject3Lab:CapstoneProjectWorkPhaseII

3

3

30

45

75

3

***Add-onCourses-NaanMudhalvanScheme:ITCourses-InfosysSpringboard

Total

30

280

295

575

23

SemesterVI

III

Core10:RoboticProcessAutomation

6

3

50

50

100

4

III

Core11:ProjectWorkLab%%

4

-

50

50

100

4

III

CorePractical–VII:ProgramminginUIPathAutomationLab

3

3

25

25

50

2

III

Elective–IV:EthicalHacking/DigitalForensicsScience/NaturalLanguageProcessing

6

3

50

50

100

4

III

Elective–V:InternetofThings/DataVisualization/SocialNetworkAnalysis

4

3

50

50

100

4

III

SkillBasedSubject4:MachineLearning

5

3

30

45

75

3

V

ExtensionActivities**

-

-

50

-

50

2

***NaanMuthalvan–SkillCoursesCyberSecurity

http://kb.naanmudhalvan.in/images/7/71/Cybersecurity.pdf

2

2

25

25

50

2

Total

30

330

295

625

25

GrandTotal

1645

1855

3500

140

*NoContinuousInternalAssessment(CIA).OnlyUniversityExaminations.

**NoUniversityExaminations.OnlyContinuousInternalAssessment(CIA).

&TheEnglishII-Universitysemesterexaminationwillbeconductedfor50marks

(AsperexistingpatternofExamination)anditwillbeconvertedfor25marks.

***NaanMudhalvan–skillcourses-external25markswillbeassessedbyIndustry

andinternalwillbeofferedbyrespectivecourseteacher.

.in

FirstSemester

CourseCode

FundamentalsofComputerProgramming

L

T

P

C

Core/Elective/Supportive

Core:1

4

0

0

4

Pre-requisite

Basic knowledge of CconceptsandC++Programming

BasicknowledgeinProcedureOrientedProgrammingconcepts

Syllabusversion

2022-23

Onwards

CourseObjectives

Themainobjectivesofthiscourseareto:

1.ToimpartknowledgeaboutComputerfundamentals

2.TounderstandtheconceptsandtechniquesinCProgramming

3.ToequipandindulgethemselvesinproblemsolvingusingC

4.TointroduceheconceptsofObjectOrientedProgrammingParadigminC++

CourseOutcomes

1

LearnabouttheComputerfundamentalsandtheProblemsolvingandunderstandthebasicconceptsofCandC++programming

K1

2

Demonstratethevariousbasicprogrammingconstructslikedecisionmaking

statements.Loopingstatementsandfunctions

K2

3

Analyzetheobjectorientedconceptslikeoverloading,inheritance,polymorphism,

virtualfunctions,constructorsanddestructors

K3

4

Comparethevariousfilestreamclasses;filetypes,usageoftemplatesandexception

handlingmechanisms,prosandconsofprocedureorientedlanguagewiththeconceptsofprogramminglanguage

K4

5

Developprogramsincorporatingtheprogrammingconstructsofobjectoriented

programmingconcepts

K5,K6

K1–RememberK2–UnderstandK3–applyK4-AnalyzeK5–evaluateK6-Create

UnitI

IntroductiontoC

12Hours

OverviewofC-Introduction-Characterset-Ctokens-keyword&Identifiers-Constants-Variables-Datatypes-Declarationofvariables-Assigningvaluestovariables-DefiningSymbolicConstants-Arithmetic,Relational,Logical,Assignment,Conditional,Bitwise,Special,IncrementandDecrementoperators-ArithmeticExpressions-Evaluationofexpression-precedenceofarithmeticoperators-Typeconversioninexpression–operatorprecedence&associativity-Mathematicalfunctions-Reading&Writingacharacter-Formattedinputandoutput.

UnitII

DecisionMaking,LoopingandArrays

15Hours

DecisionMakingandBranching:Introduction–if,if….else,nestingofif…elsestatements-elseifladder–Theswitchstatement,The?:Operator–ThegotoStatement.DecisionMakingandLooping:Introduction-Thewhilestatement-thedostatement–theforstatement-jumpsinloops.Arrays–CharacterArraysandStrings

UnitIII

C++

15Hours

IntroductiontoC++-keyconceptsofObject-OrientedProgramming–Advantages–ObjectOrientedLanguages–I/OinC++-C++Declarations.FunctionsinC++-inlinefunctions–FunctionOverloading.ClassesandObjects:DeclaringObjects–DefiningMemberFunctions–StaticMembervariablesandfunctions–arrayofobjects–friendfunctions–Overloadingmemberfunctions–Bitfieldsandclasses–Constructoranddestructorwithstaticmembers.

UnitIV

Inheritance

15Hours

OperatorOverloading:Overloadingunary,binaryoperators–OverloadingFriendfunctions–typeconversion–Inheritance:TypesofInheritance–Single,Multilevel,Multiple,Hierarchal,Hybrid,Multipathinheritance–VirtualbaseClasses–AbstractClasses.

UnitV

Pointers&Files

15Hours

Pointers–Declaration–PointertoClass,Object–thispointer–PointerstoderivedclassesandBaseclasses–Arrays–Characteristics–arrayofclasses.Files–Filestreamclasses–filemodes–SequentialRead/Writeoperations–BinaryandASCIIFiles–RandomAccessOperation–Templates–ExceptionHandling–Miscellaneousfunctions.

UnitVI

ContemporaryIssues

3Hours

ProblemSolvingthroughCProgramming–OnlineCoding

TotalLectureHours

60Hours

TextBook(s)

EBalagurusamy:ComputingFundamentals&CProgramming–TataMcGraw-Hill,SecondReprint2008

AshokNKamthane,Object-OrientedProgrammingwithAnsiandTurboC++,Pearson

Education,2003.

ReferenceBooks

AshokNKamthane:ProgrammingwithANSIandTurboC,Pearson,2002.

E.Balagurusamy,Object-OrientedProgrammingwithC++,TMH,1998

MariaLitvin&GrayLitvin,C++foryou,Vikaspublication,2002.

JohnRHubbard,ProgrammingwithC,2ndEdition,TMHpublication,2002

RelatedOnlineContents(MOOC,SWAYAM,NPTEL,Websitesetc)

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https://onlinecourses.swayam2.ac.in/aic20_sp06/preview

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https://onlinecourses.swayam2.ac.in/arp19_ap79/preview

CourseDesignedby:Dr.B.ARIVAZHAGAN,AssistantProfessor,SchoolofComputerScience,

VETInstituteofArtsandScience(Co-Education)College,Erode

PO1

PO2

PO3

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CO5

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L

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*S-Strong;M-Medium;L-Low

CourseCode

ComputerProgrammingLab

L

T

P

C

Core/Elective/Supportive

CoreLab:1

-

-

3

2

Pre-requisite

BasicknowledgeofProcedureOrientedProgrammingconcepts

BasicknowledgeinCProgramming

Syllabusversion

2022-23

Onwards

CourseObjectives

TointroduceheconceptsofObject-OrientedProgrammingParadigmandprogrammingconstructsofC++

CourseOutcomes

1

Applythevariousbasicprogrammingconstructslikedecisionmakingstatements.

Loopingstatements,functions,conceptslikeoverloading,inheritance,polymorphism,virtualfunctions,constructorsanddestructors

K1,K3

2

IllustratetheconceptofVirtualClasses,inlinefunctionsandfriendfunctions

K2,K4

3

Comparethevariousfilestreamclasses;filetypes,usageoftemplatesandexception

handlingmechanisms.

K5

4

Comparetheprosandconsofprocedureorientedlanguagewiththeconceptsofobject

orientedlanguage

K5

K1–RememberK2–UnderstandK3–applyK4-AnalyzeK5–evaluateK6-Create

1.WriteaCprogramtofindthesum,average,standarddeviationforagivensetofnumbers.

2.WriteaCprogramtogeneratenprimenumbers.

3.WriteaCprogramtogenerateFibonacciseries.

4.WriteaCprogramtosortthegivensetofnumbersinascendingorder.

5.WriteaCprogramtocountthenumberofVowelsinthegivensentence.

6.WriteaC++Programtocreateclass,whichconsistsofEMPLOYEEDetaillikeE_Number,E_Name,

Department,Basic,Salary,Grade.Writeamemberfunctiontogetanddisplaythem.

7.WriteaC++ProgramtocreateaclassSHAPEwhichconsistsoftwovirtualfunctions

8.WriteaC++ProgramusingfunctionoverloadingtoreadtwomatricesofdifferentDataTypes

Suchasintegersandfloatingpointnumbers.

9.WriteaC++ProgramtocreateaFileandtodisplaythecontentsofthatfilewithlinenumbers.

10.WriteaC++Programtomergetwofilesintoasinglefile.

TotalLectureHours

36hours

TextBook(s)

EBalagurusamy:ComputingFundamentals&CProgramming–TataMcGraw-Hill,SecondReprint2008

AshokNKamthane,Object-OrientedProgrammingwithAnsiAndTurboC++,PearsonEducation,2003.

RelatedOnlineContents[MOOC,SWAYAM,NPTEL,Websitesetc.]

1.IntroductiontoProgramminginC–NPTEL

2.ProblemsolvingthroughProgramminginC-SWAYAM

3.CforEveryone:ProgrammingFundamentals–Course

CourseDesignedby:Dr.B.ARIVAZHAGAN,AssistantProfessor,SchoolofComputerScience,

VETInstituteofArtsandScience(Co-Education)College,Erode

PO1

PO2

PO3

PO4

PO5

PO6

PO7

PO8

PO9

PO10

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L

L

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CO4

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L

L

L

L

L

L

*S-Strong;M-Medium;L-Low

CourseCode

DataStructures

L

T

P

C

Core/Elective/Supportive

Core:2

4

0

0

4

Pre-requisite

BasicunderstandingofDatastorage,retrievalandalgorithms.

Syllabusversion

2022-23

Onwards

CourseObjectives

TounderstandtheconceptsofADTs

Todesignlineardatastructures–lists,stacks,andqueues

Tounderstandsorting,searchingandhashingalgorithms

ToapplyTreeandGraphstructures

CourseOutcomes

1

Understandtheconceptofabstractdatatypes

K1

2

Analyzelineardatastructures,suchaslists,queues,andstacks,accordingtotheneedsofdifferentapplications

K2

3

Demonstratetheconceptoftreesanditsapplications

K3

4

Design,implementandanalyzeefficienttreestructurestomeetrequirementssuchassearching,indexing,andsorting

K4

5

Enhancetheknowledgetosolveproblemsasgraphproblemsandimplementefficientgraphalgorithmstosolvethem

K5,K6

K1–RememberK2–UnderstandK3–applyK4-AnalyzeK5–evaluateK6-Create

UnitI

AbstractDataTypes

12Hours

AbstractDataTypes(ADTs)–ADTsandclasses–introductiontoOOP–classesinPython–inheritance–

namespaces–shallowanddeepcopying.Introductiontoanalysisofalgorithms–asymptoticnotations–recursion–analyzingrecursivealgorithms.

UnitII

LinearStructures

15Hours

ListADT–array-basedimplementations–linkedlistimplementations–singlylinkedlists–circularlylinkedlists–doublylinkedlists–applicationsoflists–StackADT–QueueADT–doubleendedqueues

UnitIII

SortingandSearching

15Hours

Bubblesort–selectionsort–insertionsort–mergesort–quicksort–linearsearch–binarysearch–hashing–hashfunctions–collisionhandling–loadfactors,rehashing,andefficiency.

UnitIV

TreeStructures

15Hours

TreeADT–BinaryTreeADT–treetraversals–binarysearchtrees–AVLtrees–heaps–multi-waysearchtrees.

UnitV

GraphStructures

15Hours

GraphADT–representationsofgraph–graphtraversals–DAG–topologicalordering–shortestpaths–minimumspanningtrees.

UnitVI

ContemporaryIssues

3Hours

Expertlectures,onlineseminars-webinars

TotalLectureHours

60Hours

TextBook(s)

EllisHorowitz,SartajShani,DataStructures,GalgotiaPublication.

EllisHorowitz,SartajShani,SanguthevarRajasekaran,ComputerAlgorithms,GalgotiaPublication.

MichaelT.Goodrich,RobertoTamassia,andMichaelH.Goldwasser,“DataStructures&AlgorithmsinPython”,JohnWiley&SonsInc.,2013

Lee,KentD.,Hubbard,Steve,“DataStructuresandAlgorithmswithPython”SpringerEdition2015.

Aho,Hopcroft,andUllman,“DataStructuresandAlgorithms”,PearsonEducation,1983.

ReferenceBooks

Jean-Paul,Tremblay&PaulG.Sorenson,AnIntroductiontoDatastructureswithApplications

TataMcGrawHillCompany2008,2ndEdition.

Samanta.D,ClassicDataStructurePrenticeHallofIndiaPvtLtd2007,9thEdition

SeymourLipschutz,DataStructuresMcGrawHillPublications,2014,1stEdition

RanceD.Necaise,“DataStructuresandAlgorithmsUsingPython”,JohnWiley&Sons,2011.

ThomasH.Cormen,CharlesE.Leiserson,RonaldL.Rivest,andCliffordStein,“IntroductiontoAlgorithms",SecondEdition,McGrawHill,2002.

MarkAllenWeiss,“DataStructuresandAlgorithmAnalysisinC++”,FourthEdition,PearsonEducation,2014

RelatedOnlineContents(MOOC,SWAYAM,NPTEL,Websitesetc)

CourseDesignedby:Dr.B.ARIVAZHAGAN,AssistantProfessor,SchoolofComputerScience,

VETInstituteofArtsandScience(Co-Education)College,Erode

PO1

PO2

PO3

PO4

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CO4

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*S-Strong;M-Medium;L-Low

CourseCode

LinearAlgebraandNeuralNetworks

L

T

P

C

Core/Elective/Supportive

Allied:1

5

1

--

4

Pre-requisite

BasicknowledgeinMathematics

Syllabusversion

2022-23

Onwards

CourseObjectives

Tointroducethecomputationaltechniquesandalgebraicskillsessentialforthestudyofsystemsoflinearequations,matrixalgebra,andvectorspaces

Tointroducetheconceptsofneuralnetworksandfuzzysystems

Toexplainthebasicmathematicalelementsofthetheoryoffuzzysets.

CourseOutcomes

1

Explaintheconcept/theoryinlinearalgebra,todevelopdynamicandgraphicalviewstotherelatedissuesofthechosentopicsasoutlinedincoursecontentandtoformallyprovetheorems.

K1

2

Recognizethebasicapplicationsofthechosentopicsandtheirimportanceinthemodernscience.

K2

3

Developsimplemathematicalmodelsandapplybasiclinearalgebratechniqueslearnedfromthechosentopicstosolvesimpleproblems

K3

4

Reportandcommunicateeffectivelywithothersandpresentmathematicalresultsinalogicalandcoherentfashion

K4

5

Analyzetheapplicationsoffuzzylogicandneuralnetworkforvariousapplications.

K5

K1–RememberK2–UnderstandK3–applyK4-AnalyzeK5–evaluateK6-Create

UnitI

Matrix

15

Introduction-Determination-InverseofaMatrix-RankofaMatrix-EigenValueProblem-Transpose-PropertiesofTranspose-SolvingSimultaneouslinearequationsbymatrixmethod.

UnitII

SystemofSimultaneousLinearAlgebraicEquation

15

GaussEliminationMethod-GaussJordanMethod-SimpleProblems-GaussSeidelMethod-SimpleProblems.

UnitIII

NumericalDifferentiation&Integration

15

NumericalDifferentiation:Newton’sForwardDifference-Newton’sBackwardDifferenceFormula.NumericalIntegration:TrapezoidalRule-Simpson’sRule.

UnitIV

GraphTheory

15

GraphTheory:BasicTerminology-Paths,Cycle&Connectivity-SubgraphsandTypesofGraphs-RepresentationofGraphsinComputerMemory.Trees:PropertiesofTreesandBinaryTrees-TraversingBinaryTreesandComputerRepresentationofGeneralTrees

UnitV

FundamentalsofNeuralNetworks

15

Basicconceptsofneuralnetworks–Humanbrain-ModelofanArtificialneuron-Neuralnetworkarchitecture:SinglelayerFeedforwardnetwork-MultilayerFeedforwardnetwork–Recurrentneuralnetwork–Characteristicsofneuralnetworks–LearningMethods-TaxonomyofneuralnetworkArchitecture-Historyofneuralnetworkresearch

TotalLectureHours

75

TextBook(s)

Navanitham,P.A.,“BusinessMathematics&Statistics”,JaiPublishers,Trichy(UnitI)

VenkataramanM.K.,“NumericalMethodsinScience&Engineering”,NationalPublishingCompany,Chennai.(UnitII&III)

SharmaJ.K.,“DiscreteMathematics”,SecondEdition,MacMillanPublishersIndiaLimited,Chennai,2005(UnitIV)

RajasekaranS.andVijayalakshmiPaiG.A.,“NeuralNetworks,FuzzyLogic,andGeneticAlgorithms:SynthesisAndApplications”P(pán)renticeHallofIndia(UnitV)

ReferenceBook(s)

1.Fuzzylogic&NeuralNetworks/ChennakesavaR.Alavala/NewAgeInternational,2008

2.NeuralNetworksforcontrol,MillonW.T,SuttonR.SandWerbosP.J,MITPress1992

3.FuzzysetsFuzzylogic,Klir,G.JanfdYuanB.BPrenticeHalloifIndiaPvt.Ltd.,,NewDelhi

4.IntroductiontoFuzzycontrol,DirankovD.HellendoornH,ReinfrankM.,NarosaPublicationsHouse,NewDelhi1996

RelatedOnlineContents(MOOC,SWAYAM,NPTEL,Websitesetc)

CourseDesignedby:Dr.C.RADHIKA,AssistantProfessor&Head,Dept.ofMathematics,

VETInstituteofArtsandScience(Co-Education)College,Erode

PO1

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SecondSemester

CourseCode

IntroductiontoPythonProgramming

L

T

P

C

Core/Elective/Supportive

Core:3

5

0

-

4

Pre-requisite

Basic knowledgeofPythonProgramming.

KnowledgeinObjectOrientedProgramming

Concepts.

Syllabusversion

2022-23

Onwards

CourseObjectives

ToknowthebasicsofalgorithmicproblemsolvingwithreadandwritesimplePythonprograms.

TodevelopPythonprogramswithconditionalsandloops.

TodefinePythonfunctionsandcallthem.

TousePythondatastructures-lists,tuples,dictionariesandfixinput/outputwithfilesinPython.

ExpectedCourseOutcomes

1

Developalgorithmicsolutionstosimplecomputationalproblems

K1

2

Read,write,executebyhandsimplePythonprograms.StructuresimplePython

programsforsolvingproblems.

K2

3

DecomposeaPythonprogramintofunctions.

K3

4

RepresentcompounddatausingPythonlists,tuples,dictionaries.Readandwritedata

from/tofilesinPythonPrograms

K3

5

JudgetheprosandconsofPython

K4

K1–RememberK2–UnderstandK3–applyK4-AnalyzeK5–evaluateK6-Create

UnitI

AlgorithmicProblemSolving

16

Algorithms,buildingblocksofalgorithms(statements,state,controlflow,functions),notation(pseudocode,flowchart,programminglanguage),algorithmicproblemsolving,simplestrategiesfordevelopingalgorithms(iteration,recursion).

UnitII

Data,Expressions,Statements

15

Pythoninterpreterandinteractivemode,valuesandtypes:int,float,boolean,stringandlist;variables,expressions,statements,tupleassignment,precedenceofoperators,comments,modulesandfunctions,functiondefinitionanduse,flowofexecution,parametersandarguments.

UnitIII

ControlFlow,Functions

14

Conditionals:Booleanvaluesandoperators,conditional(if),alternative(if-else),chainedconditional(if-elif-else).Iteration:state,while,for,break,continue,pass.Fruitfulfunctions:returnvalues,parameters,localandglobalscope,functioncomposition,recursion.Strings:stringslices,immutability,stringfunctionsandmethods,stringmodule,Listsasarrays.

UnitIV

Lists,Tuples,Dictionaries

13

Lists:listoperations,listslices,listmethods,listloop,mutability,aliasing,cloninglists,listparameters.Tuples:tupleassignment,tupleasreturnvalue,Dictionaries:operationsandmethods,advancedlistprocessing-listcomprehension.

UnitV

Files,Modules,Packages

17

Filesandexception:textfiles,readingandwritingfiles,formatoperator,commandlinearguments,errorsandexceptions,handlingexceptions,modules,packages.

TotalLectureHours

75

TextBook(s)

1.AllenB.Downey,``ThinkPython:HowtoThinkLikeaComputerScientist’’,2ndedition,UpdatedforPython3,Shroff/O’ReillyPublishers,2016.

2.GuidovanRossumandFredL.DrakeJr,“AnIntroductiontoPython–RevisedandupdatedforPython3.2,NetworkTheoryLtd.,2011.

ReferenceBook(s)

1.JohnVGuttag,“IntroductiontoComputationandProgrammingUsingPython’’,Revisedand

expandedEdition,MITPress,2013

2.RobertSedgewick,KevinWayne,RobertDondero,“IntroductiontoProgramminginPython:An

Inter-disciplinaryApproach,PearsonIndiaEducationServicesPvt.Ltd.,2016.

3.TimothyA.Budd,“ExploringPython”,Mc-GrawHillEducation(India)PrivateLtd.,,2015.

4.KennethA.Lambert,“FundamentalsofPython:FirstPrograms”,CENGAGELearning,2012.

5.CharlesDierbach,“IntroductiontoComputerScienceusingPython:AComputationalProblem-

SolvingFocus,WileyIndiaEdition,2013.

6.PaulGries,