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CP3210:03

Fundamentals of Artificial Intelligence

[Not offered in 2004]

Townsville

HECS Band 2

39 lectures, 26 tutorials. Semester 1.

Introduction to AI and key features of AI problem solving; State space representation and search; Knowledge representation including production systems; Knowledge acquisition and refinement; Logic programming; AI Applications.

Learning Objectives:

describe the goals and features of Artificial Intelligence;

understand and use the fundamental techniques of Artificial Intelligence;

understand the nature of knowledge and be able to represent knowledge using schemes commonly used in Artificial Intelligence;

program in at least one language suitable for Artificial Intelligence;

understand some specific application areas in Artificial Intelligence.

Assessment in this subject involves significant on-course assessment including assignments and tests and an examination at the end of the semester. The full details of the assessment are handed out to students in the class in the first week of the semester in which the subject is offered and posted on the Web.