Knowledge-Based Paradigms and their Engineering Applications

Course aim

To introduce students to knowledge-based paradigms and their engineering applications. The course is suitable for engineering and science students.

Course content

Introduction to knowledge-based paradigms, expert systems, knowledge representation, uncertainties, artificial neural networks, learning algorithms, fuzzy systems, genetic algorithms, multi-agent systems, case studies.
NOTE: conceded and terminating passes will be available to undergraduates taking this course but not to postgraduates.

Textbook(s)

Negnevitsky, M. 2005, Artificial Intelligence, Addison Wesley

Prerequisite(s)

Completion of third year of engineering degree.

Corequisite(s)

Nil

Teaching method

Component	Duration
INTERNAL, MAWSON LAKES
Lecture	7.5 hours x 3 days
Tutorial	5 hours x N/A

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

Assessment

Assignment, 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.