Download Masters in Artificial Intelligence

ComputerScience-ArtificialIntelligenceMSc&MPhil-2016/7-August2016
MastersinArtificialIntelligence
ProgrammeRequirements
TaughtElement,andPGDiplomainArtificialIntelligence:
120credits:
• IS5101
• CS5001
• CS5010
• CS5011
• CS4402orCS5012
• intotal,upto30creditsfromCS4100-CS4450,subjecttoappropriateexperience
• remainingcreditsfromIS5102-IS5150,CS5003-CS5089,ID5059
MSc:
120creditsfromTaughtElementplusCS5098orCS5099,thetopicbeinginArtificialIntelligence
MPhil:
120creditsfromTaughtElementofArtificialIntelligenceplusa40,000-wordthesis
ForallMastersdegreesthereareexitawardsavailablethatallowsuitably-qualifiedcandidatestoreceiveaPostgraduate
CertificateorPostgraduateDiploma.
Compulsorymodules:
IS5101MastersCoreSkills
SCOTCATCredits:
15
Plannedtimetable:
Tobearranged.
SCQFLevel11
Semester:
WholeYear
ThismoduleequipsstudentswithessentialskillsforcompletinganMScintheSchoolofComputerScience.
Topics include: technical writing for Computer Science and Information Technology; use of bibliographic
and referencing software; presentation skills; critical analysis of written work; generic research skills
including framing research hypotheses, designing and conducting experiments, use of survey tools and
gathering, analysing and presenting data; understanding basic statistics; use of project planning
techniques; awareness of professional and ethical issues in research activities; carrying out a literature
review; and awareness of what constitutes academic misconduct. Skills in these areas are reinforced
throughpracticalassignments.
Programmemoduletype:
CompulsoryforallPostgraduateProgrammesexceptErasmusMundus
DependableSoftwareSystems.
Learningandteaching
methodsanddelivery:
Weeklycontact:Lectures,seminars,tutorialsandpracticalclasses.
Assessmentpattern:
Coursework=100%
ModuleCo-ordinator:
[email protected]
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ComputerScience-ArtificialIntelligenceMSc&MPhil-2016/7-August2016
CS5001Object-OrientedModelling,DesignandProgramming
SCOTCATCredits:
15
SCQFLevel11
Plannedtimetable:
Variable
Semester:
1
Thismoduleintroducesandrevisesobject-orientedmodelling,designandimplementationuptothelevel
requiredtocompleteprogrammingassignmentswithinotherMScmodules.Studentscompleteanumber
ofpracticalexercisesinlaboratorysessions.
Programmemoduletype:
CompulsoryforAdvancedComputerScience,ArtificialIntelligence,Human
ComputerInteraction,NetworksandDistributedSystems,Software
EngineeringandErasmusMundusDependableSoftwareSystems
PostgraduateProgrammes.
Anti-requisite(s):
CS5002
Learningandteaching
methodsanddelivery:
Weeklycontact:Lectures,tutorialsandpracticalclasses.
Assessmentpattern:
Coursework=100%
ModuleCo-ordinator:
[email protected]
Requiredfor: CS5011,CS5021,CS5031
CS5010ArtificialIntelligencePrinciples
SCOTCATCredits:
15
SCQFLevel11
Plannedtimetable:
Tobearranged.
Semester:
1
ThismodulecoversfoundationalknowledgeofArtificialIntelligence(AI).Themodulegivesanoverviewof
AIanditsphilosophy.ItcoversfundamentalprinciplesinAI:logicalreasoning,reasoninginthepresenceof
uncertainty, and machine learning. It shows how search is used to solve a variety of problems in AI.
NotionssuchasagencyanduncertaintyinAIarecovered.Finally,thephilosophyofAIinpracticeandthe
philosophicalproblemsinAIareshown.
Programmemoduletype:
CompulsoryforArtificialIntelligencePostgraduateProgramme.
OptionalforallPostgraduateProgrammesintheSchoolofComputerScience
Anti-requisite(s):
CS3105
Learningandteaching
methodsanddelivery:
Weeklycontact:Lectures,seminars,tutorialsandpracticalclasses.
Assessmentpattern:
2-hourWrittenExamination=60%,Coursework=40%
ModuleCo-ordinator:
[email protected]
Requiredfor:
CS5011
CS5011ArtificialIntelligencePractice
SCOTCATCredits:
15
SCQFLevel11
Plannedtimetable:
Tobearranged.
Semester:
1
ThismodulecoverspracticaldesignandimplementationofArtificialIntelligence(AI).Itprovidesgrounding
inAItechnique,coveringtechniquesintheareasofAIreasoning,planning,doing,andlearning.Finally,itis
shownhowtoimplementAIideasinsoftwareandhowtoevaluatesuchimplementation.
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Programmemoduletype:
CompulsoryforArtificialIntelligencePostgraduateProgramme.
OptionalforotherPostgraduateProgrammesintheSchoolofComputer
Science
Co-requisite(s):
CS5001,CS5010
Learningandteaching
methodsanddelivery:
Weeklycontact:Lectures,seminars,tutorialsandpracticalclasses.
Assessmentpattern:
Coursework=100%
ModuleCo-ordinator:
[email protected]
Requiredfor:
CS5012,CS5019
ComputerScience-ArtificialIntelligenceMSc&MPhil-2016/7-August2016
EITHER
CS5012LanguageandComputation
SCOTCATCredits:
15
SCQFLevel11
Plannedtimetable:
Tobearranged.
Semester:
2
Thismodulecoversthemajoraspectsofnaturallanguageprocessingandspeechunderstanding,including
computational syntax, computational semantics, discourse processing, machine translation and speech
recognition.
Programmemoduletype:
EitherCS5012orCS4402iscompulsoryfortheArtificialIntelligence
PostgraduateProgramme.
OptionalforPostgraduateProgrammesintheSchoolofComputerScience
Pre-requisite(s):
CS3052orCS5010
Learningandteaching
methodsanddelivery:
Weeklycontact:Lectures,seminars,tutorialsandpracticalclasses.
Assessmentpattern:
2-hourWrittenExamination=60%,Coursework=40%
ModuleCo-ordinator:
[email protected]
OR
CS4402ConstraintProgramming
SCOTCATCredits:
15
SCQFLevel10
Plannedtimetable:
Tobearranged.
Semester:
2
This module introduces constraint-based reasoning as a powerful mechanism for knowledge
representationandinference.Itprovidesathoroughgroundingintheconstraintsatisfaction/constrained
optimisation problem formalism, and covers both basic techniques for implementing constraint solvers
andtheuseofadvancedtechniqueswithacommercialsolver.
Programmemoduletype:
EitherCS5012orCS4402iscompulsoryfortheArtificialIntelligence
PostgraduateProgramme.
OptionalforErasmusMundusDependableSoftwareSystemsPostgraduate
Programme
Learningandteaching
methodsanddelivery:
Weeklycontact:2lectures(x11weeks)andfortnightlytutorial.
Assessmentpattern:
2-hourWrittenExamination=60%,Coursework=40%
ModuleCo-ordinator:
[email protected]
Lecturer(s)/Tutor(s):
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ComputerScience-ArtificialIntelligenceMSc&MPhil-2016/7-August2016
CompulsorymoduleforMSc:
EITHER
CS5098GroupProjectandDissertationinComputerScience
SCOTCATCredits:
60
Plannedtimetable:
Tobearranged.
SCQFLevel11
Semester:
Summer
This module is a group-based MSc project on a topic in Computer Science. It results in an individual
dissertationofnomorethan15,000wordssubmittedbyeachstudent.Typicallythedissertationcomprises
areviewofrelatedwork,theextensionofoldordevelopmentofnewideas,softwareimplementationand
testing,analysesandevaluation.Thedissertationmayalsoincludeanagreedcollaboratively-writtengroup
report. Each student is individually assessed, taking into account both individual and group submissions.
Studentsarerequiredtogiveapresentationoftheirwork.
OR
Programmemoduletype:
OptionalforMScinAdvancedComputerScience,inArtificialIntelligence,in
Computing&IT,inHumanComputerInteraction,inNetworksand
DistributedSystems,SoftwareEngineeringPostgraduateProgrammes.
Pre-requisite(s):
Admissiontodissertationphase
ofMScandpermissionofthe
HeadofSchool
Learningandteaching
methodsanddelivery:
Weeklycontact:Meetingswithsupervisor.
Assessmentpattern:
Coursework=100%
ModuleCo-ordinator:
[email protected]
Anti-requisite(s):
CS5099
CS5099DissertationinComputerScience
SCOTCATCredits:
60
Plannedtimetable:
Tobearranged.
SCQFLevel11
Semester:
Summer
This module is an individually supervised MSc project on a topic in Computer Science. It results in a
dissertationofnomorethan15,000words.Typicallythedissertationcomprisesareviewofrelatedwork,
the extension of old or development of new ideas, software implementation and testing, analyses and
evaluation.Studentsarerequiredtogiveapresentationoftheirwork.
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Programmemoduletype:
OptionalforMScinAdvancedComputerScience,inArtificialIntelligence,in
HumanComputerInteraction,inNetworksandDistributedSystems,and
SoftwareEngineeringPostgraduateProgrammes.
Pre-requisite(s):
Admissiontodissertationphase
ofMSc
Learningandteaching
methodsanddelivery:
Weeklycontact:Meetingwithsupervisor.
Assessmentpattern:
Coursework=100%
ModuleCo-ordinator:
[email protected]
Anti-requisite(s):
CS5098
ComputerScience-ArtificialIntelligenceMSc&MPhil-2016/7-August2016
Optionalmodules:
CS5003MastersProgrammingProjects
SCOTCATCredits:
15
Plannedtimetable:
Variable
SCQFLevel11
Semester:
2
This module reinforces key programming skills gained in CS5002, by means of a series of coursework
assignmentsposedassmallprogrammingprojects.Thesearedesignedtoofferincreasingdepthandscope
forcreativityasthemoduleprogresses.
Programmemoduletype:
CompulsoryforComputingandInformationTechnologyPostgraduate
Programme.
OptionalforAdvancedComputerScience,ArtificialIntelligence,DataIntensiveAnalysis,DependableSoftwareInformationTechnology,Human
ComputerInteractionMScProgrammes
Pre-requisite(s):
CS5002
Learningandteaching
methodsanddelivery:
Weeklycontact:Lectures,tutorialsandpracticalclasses.
Assessmentpattern:
Coursework=100%
ModuleCo-ordinator:
[email protected]
Anti-requisite(s):
IS5108
CS5019ArtificialIntelligence(SpecialSubject)
SCOTCATCredits:
15
Plannedtimetable:
Tobearranged.
SCQFLevel11
Semester:
2
This module is a guided reading module on any aspect of Artificial Intelligence not covered by other
availablemodules.ItisintendedonlyforMScstudentsinArtificialIntelligencewhosecircumstancesmake
it appropriate to deliver an individually designed programme of study in a specialist area of Artificial
Intelligencenotcoveredbyothermodules.
Programmemoduletype:
OptionalforArtificialIntelligencePostgraduateProgramme.
Pre-requisite(s):
theconsentoftheHeadof
School
Learningandteaching
methodsanddelivery:
Weeklycontact:Tutorialsandpracticalclasses.
Assessmentpattern:
Coursework=100%
ModuleCo-ordinator:
[email protected]
Anti-requisite(s):
CS5029,CS5039
Furtheroptionalmodulesareavailable-seethepdfonlinecalled‘PGComputer
Science-optionalmodules2016-2017.’
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ComputerScience-ArtificialIntelligenceMSc&MPhil-2016/7-August2016
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