Subject Descriptions - Subject Information


Calendar: 2017 Postgraduate
Faculty: Faculty of Engineering and Information Sciences
Department: School of Computing and Information Technology


Subject Information
Subject Code MCS9323
Subject Name Artificial Intelligence
Credit Points 6
Pre-Requisites MCS9114
Co-Requisites None.
Restrictions None.
Equivalence None.
Assessment Final Examination 50% Laboratory Assignments 20% Term project 30%
General Subject No.
EFTSL (Non Weighted) 0.125
Non Weighted Student Contribution Amounts
Commonwealth Supported (HECS) Students Only
Pre-1997 Pre-2005 Post-2005 Post-2008 Post-2009 Post-2010
$ 1131  $ 1131  $ 1131  $ 1131  $ 1131  $ 1131 
Weighted Student Contribution Amounts  
Work Experience No
Tutorial Enrolment Information Students should use the SMP OnLine Tutorial System (via SOLS) to enrol in Tutorial/laboratory groups for this subject. Once enrolments are open a link to the subject will appear in Tutorial Enrolments.
Availability Not Available in 2017

Subject Description
This subject reviews the main components of Artificial Intelligence research including knowledge representation, reasoning, natural language understanding, and perception. Focuses on Expert Systems and the computational models they embody. Introduces the programming languages Lisp and Prolog.


Subject Learning Outcomes
On successful completion of this subject, students will be able to:
1. Understand the conceptual underpinnings of the field of artificial intelligence.
2. Understand how artificial intelligence technology is deployed in practical applications.
3. Gain familiarity with artificial intelligence tools and languages.


Textbook Information
Artificial Intelligence: A Modern Approach Russell and Norvig Prentice Hall International Editions
Text book information is available via the UniShop website:



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