Artificial Intelligence in Manufacturing Engineering
Postgraduate
Postgraduate
MFET 4013
Postgraduate
No
100692
4.5
No
The 2025 timetable is
not yet available.
UniSA STEM
Course Alert: This course is no longer available for enrolment
The aim of the course is to build an understanding of Artificial Intelligence approaches, the need to use Artificial Intelligence, specific tools and techniques, their application in Manufacturing Engineering and other areas of Engineering and Applied Science.
Advances in computers and information technology made possible the development of new and extremely powerful methods that mimic processes occurring in nature. Artificial Intelligence studies and attempts to apply those methods to solve extremely complicated and large real-life size problems that cannot be solved by other means.
The course is designed to be practical. A significant number of examples illustrate the concepts presented.
Russell, S. and Norvig, P. 2010, Artificial Intelligence: A Modern Approach, 3, Prentice Hall
Nil
Nil
Component | Duration | ||
---|---|---|---|
INTERNAL, MAWSON LAKES | |||
Directed Study (including 5 seminar sessions (alternate weeks)) | 3 hours x 5 weeks |
Note: These components may or may not be scheduled in every study period. Please refer to the timetable for further details.
Examination, Project, Tutorial work
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
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* 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.