cse5aif artificial intelligence fundamentals
ARTIFICIAL INTELLIGENCE FUNDAMENTALS
CSE5AIF
2020
Credit points: 15
Subject outline
Artificial Intelligence (AI) is the field of engaging computers for reasoning and decision-making. In this subject, you will be introduced to fundamental concepts and different research fields of AI. Main topics include state space search, game-playing, knowledge representation, theorem-proving, rule-based systems, machine learning and artificial agents. Python will be used as the implementation programming language.
SchoolEngineering and Mathematical Sciences (Pre 2022)
Credit points15
Subject Co-ordinatorNasser Sabar
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 5 - Masters
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
PrerequisitesCSE4IP
Co-requisitesN/A
Incompatible subjectsCSE2AIF
Equivalent subjectsN/A
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/A
Learning resources
Artificial intelligence: A modern approach.
Resource TypeBook
Resource RequirementRecommended
AuthorRussel, S. and Norvig, P.
Year2016
Edition/Volume3RD EDN
PublisherPRENTICE- HALL
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Artificial intelligence: structures and strategies for complex problem solving.
Resource TypeBook
Resource RequirementPrescribed
AuthorLuger, G.
Year2009
Edition/Volume6TH EDN
PublisherADDISON WESLEY
ISBNN/A
Chapter/article titleN/A
Chapter/issueN/A
URLN/A
Other descriptionN/A
Source locationN/A
Career Ready
Career-focusedNo
Work-based learningNo
Self sourced or Uni sourcedN/A
Entire subject or partial subjectN/A
Total hours/days requiredN/A
Location of WBL activity (region)N/A
WBL addtional requirementsN/A
Graduate capabilities & intended learning outcomes
Graduate Capabilities
Intended Learning Outcomes
Subject options
Select to view your study options…
Melbourne (Bundoora), 2020, Semester 1, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorNasser Sabar
Class requirements
Computer LaboratoryWeek: 11 - 22
One 2.00 hours computer laboratory per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
LectureWeek: 10 - 22
One 2.00 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
One 3,000-word assignment | N/A | N/A | No | 50 | SILO1, SILO2, SILO4 |
One 2-hour examination (equivalent to 2000 words) | N/A | N/A | No | 50 | SILO1, SILO2, SILO3, SILO4 |
Melbourne (Bundoora), 2020, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorNasser Sabar
Class requirements
Computer LaboratoryWeek: 32 - 43
One 2.00 hours computer laboratory per week on weekdays during the day from week 32 to week 43 and delivered via face-to-face.
LectureWeek: 31 - 43
One 2.00 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
One 3,000-word assignment | N/A | N/A | No | 50 | SILO1, SILO2, SILO4 |
One 2-hour examination (equivalent to 2000 words) | N/A | N/A | No | 50 | SILO1, SILO2, SILO3, SILO4 |