ARTIFICIAL INTELLIGENCE FUNDAMENTALS

CSE2AIF

2014

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.

FacultyFaculty of Science, Tech & Engineering

Credit points15

Subject Co-ordinatorAndrew Skabar

Available to Study Abroad StudentsYes

Subject year levelYear Level 2 - UG

Exchange StudentsYes

Subject particulars

Subject rules

Prerequisites CSE1IOO

Co-requisitesN/A

Incompatible subjects CSE2AI, CSE4FAI

Equivalent subjectsN/A

Special conditionsN/A

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsArtificial intelligence: structures and strategies for complex problem solving.PrescribedLuger, G.6TH EDN., ADDISON WESLEY
ReadingsArtificial intelligence: A modern approach.RecommendedRussel, S. and Norvig, P.2ND EDN., PRENTICE-HALL

Subject options

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Start date between: and    Key dates

Dandenong, 2014, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorAndrew Skabar

Class requirements

Computer Laboratory Week: 31 - 43
One 2.0 hours computer laboratory per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Lecture Week: 31 - 43
Two 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementComments%
Assignment 1 (equiv to 500 words)10
Assignment 2 (equiv to 1000 words)20
One 3-hour examination70

Melbourne, 2014, Semester 2, Day

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorAndrew Skabar

Class requirements

Lecture Week: 31 - 43
Two 1.0 hours lecture per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Computer Laboratory Week: 31 - 43
One 2.0 hours computer laboratory per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementComments%
Assignment 1 (equiv to 500 words)10
Assignment 2 (equiv to 1000 words)20
One 3-hour examination70