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Unit of Study AIT93002 - Expert and Intelligent Systems and Applications (2018)
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Unit Snapshot
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Unit type
PG Coursework Unit
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Credit points
12
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AQF level
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Level of learning
Advanced
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Former School/College
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Pre-requisites
- Big Data Analysis and Tools
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Enrolment information
N/A
Learning outcomes and graduate attributes
Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.
On completion of this unit, students should be able to:
Learning outcome count | Learning outcome description | GA1 | GA2 | GA3 | GA4 | GA5 | GA6 | GA7 |
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1 | identify and evaluate state-of-the-art systems and applications of current practices in utilising artificial intelligence for assisting expert decision making. | |||||||
2 | reflect on and critique contemporary applications of artificial intelligence techniques in a variety of contexts | |||||||
3 | design and develop enhancements to existing artificial intelligence solutions for real-world problems | |||||||
4 | critically analyse future trends and developments in intelligent systems and applications |
On completion of this unit, students should be able to:
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identify and evaluate state-of-the-art systems and applications of current practices in utilising artificial intelligence for assisting expert decision making.
- GA4:
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reflect on and critique contemporary applications of artificial intelligence techniques in a variety of contexts
- GA2:
- GA4:
-
design and develop enhancements to existing artificial intelligence solutions for real-world problems
- GA2:
-
critically analyse future trends and developments in intelligent systems and applications
- GA4:
- GA5: