Artificial Intelligence

Course aim

This course will enable students to apply artificial intelligence techniques to systems that operate in changing environments, address intractable problems and process information intelligently.

Course content

Overview of AI. Search problems (state space, informed, constraint CSPs, adversarial Game). Mathematical logic and Prolog). Principle of knowledge representation. Planning. Reasoning with uncertainty. Machine learning, Symbolic and Statistical. Robotics path finding, noisy sensor. Image Processing. Natural Language Understanding.

Textbook(s)

Stuart J. Russell., Peter Norvig 2009, Artificial Intelligence: A Modern Approach, 3rd, Prentice Hall

Prerequisite(s)

Common to all relevant programs
Subject Area & Catalogue Number	Course Name
COMP 2012	Data Structures

Corequisite(s)

Nil

Teaching method

Component	Duration
INTERNAL, MAWSON LAKES
Lecture	2 hours x 13 weeks
Tutorial	1 hour x 12 weeks
Computer Practical	1 hour x 12 weeks
INTERNAL, CITY WEST
Lecture	2 hours x 13 weeks
Tutorial	1 hour x 12 weeks
Computer Practical	1 hour x 12 weeks
EXTERNAL, MAWSON LAKES, DISTANCE EDUCATION
External	N/A x 13 weeks

Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.

Assessment

Assignment 1, Assignment 2, Continuous assessment, Examination

Fees

EFTSL*: 0.125
Commonwealth Supported program (Band 2)
To determine the fee for this course as part of a Commonwealth Supported program, go to:
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Fee-paying program for domestic and international students
International students and students undertaking this course as part of a postgraduate fee paying program must refer to the relevant program home page to determine the cost for undertaking this course.

Non-award enrolment
Non-award tuition fees are set by the university. To determine the cost of this course, go to:
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Not all courses are available on all of the above bases, and students must check to ensure that they are permitted to enrol in a particular course.

* Equivalent Full Time Study Load. Please note: all EFTSL values are published and calculated at ten decimal places. Values are displayed to three decimal places for ease of interpretation.