Availabilities:
| Location | Domestic | International |
|---|
| Gold Coast | | |
| Melbourne | N/A | |
| Online | | |
| Perth | N/A | |
| Sydney | N/A | |
Unit description
Focuses on real-world applications of intelligent systems. Students undertake a series of selected case studies on state-of-the-art applications of artificial intelligence. The students will evaluate, critique, reflect-on and improve the case studies. This unit provides the students with understanding of contemporary artificial intelligence practices for real-world problem solving.
Unit content
1. Introduction to applications and practices of developing advanced intelligent systems
2. Methodology to critique existing approaches, techniques and solutions
3. Case studies of advanced AI techniques
4. Research-driven improvements of advanced AI techniques
5. Future trends of intelligent systems
Learning outcomes
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: |
|---|
| 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:
- identify and evaluate state-of-the-art systems and applications of current practices in utilising artificial intelligence for assisting expert decision making.
- reflect on and critique contemporary applications of artificial intelligence techniques in a variety of contexts
- design and develop enhancements to existing artificial intelligence solutions for real-world problems
- critically analyse future trends and developments in intelligent systems and applications
Prescribed texts
- Prescribed text information is not currently available.
- Prescribed text information is not currently available.
Prescribed texts may change in future study periods.