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Artificial Intelligence - COMP3411
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Faculty: Faculty of Engineering
 
 
School:  School of Computer Science and Engineering
 
 
Contact: Hoffmann,Achim Gunter
 
 
Campus: Kensington Campus
 
 
Career: Undergraduate
 
 
Units of Credit: 6
 
 
EFTSL: 0.125 (more info)
 
 
Contact Hours per Week: 5
 
 
Enrolment Requirements:
 
 
Prerequisite: COMP2011 or COMP2711; Excluded: COMP9414.
 
 
Session Offered: See Class Timetable
 
 
Fee Band: 2 (more info)
 
 

Description

Machine intelligence. Principles: knowledge representation, automated reasoning, machine learning. Tools: AI programming languages, control methods, search strategies, pattern matching. Applications: computer vision, speech recognition, natural language processing, expert systems, game playing, computer-aided learning. Philosophical and psychological issues. Lab: logic programming assignments.

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