cse2aif artificial intelligence fundamentals
ARTIFICIAL INTELLIGENCE FUNDAMENTALS
CSE2AIF
2020
Credit points: 15
Subject outline
This subject covers the fundamental areas of Artificial Intelligence, focussing on knowledge representation and search. Main topics include historical foundations and applications areas; state-space search; game-playing; knowledge representation languages including predicate calculus, semantic networks, conceptual graphs and frames; rule-based expert systems; and an introduction to symbolic and connectionist machine learning.
SchoolEngineering and Mathematical Sciences
Credit points15
Subject Co-ordinatorChris Taylor
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 2 - UG
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
PrerequisitesCSE1IOO
Co-requisitesN/A
Incompatible subjectsCSE4FAI
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.
YearN/A
Edition/Volume2ND 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.
YearN/A
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 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorChris Taylor
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
Two 1.00 hour 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* |
|---|---|---|---|---|---|
| Assignment 1 (equiv to 500 words) | N/A | N/A | No | 10 | SILO2, SILO6 |
| Assignment 2 (equiv to 1000 words) | N/A | N/A | No | 20 | SILO2, SILO3, SILO5, SILO6 |
| One 3-hour examination | N/A | N/A | No | 70 | SILO1, SILO2, SILO3, SILO4, SILO5, SILO6 |
Dandenong (Chisholm Institute), 2020, Semester 2, Day
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorChris Taylor
Class requirements
Computer LaboratoryWeek: 31 - 43
One 2.00 hours computer laboratory per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.
LectureWeek: 31 - 43
Two 1.00 hour 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* |
|---|---|---|---|---|---|
| Assignment 1 (equiv to 500 words) | N/A | N/A | No | 10 | SILO2, SILO6 |
| Assignment 2 (equiv to 1000 words) | N/A | N/A | No | 20 | SILO2, SILO3, SILO5, SILO6 |
| One 3-hour examination | N/A | N/A | No | 70 | SILO1, SILO2, SILO3, SILO4, SILO5, SILO6 |