Artificial Intelligence in Manufacturing Engineering

Course aim

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.

Course content

• Introduction to Artificial Intelligence
• Heuristics
• Mathematical optimisation methods – LP and MIP
• Intelligent Agents
• Solving problems by searching
• Genetic Algorithms 
• Uncertainty
• Neural networks
• Fuzzy logic and fuzzy control

Textbook(s)

Russell, S. and Norvig, P. 2010, Artificial Intelligence: A Modern Approach, 3, Prentice Hall

Prerequisite(s)

Nil

Corequisite(s)

Nil

Teaching method

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.

Assessment

Examination, Project, Tutorial work

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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* 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.