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LocationDomesticInternational
Gold Coast
MelbourneN/A
Online
PerthN/A
SydneyN/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.

GA1: Intellectual rigour, GA2: Creativity, GA3: Ethical practice, GA4: Knowledge of a discipline, GA5: Lifelong learning, GA6: Communication and social skills, GA7: Cultural competence
On completion of this unit, students should be able to:GA1GA2GA3GA4GA5GA6GA7
1identify and evaluate state-of-the-art systems and applications of current practices in utilising artificial intelligence for assisting expert decision making. Knowledge of a discipline
2reflect on and critique contemporary applications of artificial intelligence techniques in a variety of contexts CreativityKnowledge of a discipline
3design and develop enhancements to existing artificial intelligence solutions for real-world problems Creativity
4critically analyse future trends and developments in intelligent systems and applications Knowledge of a disciplineLifelong 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.
    • GA4: Knowledge of a discipline
  2. reflect on and critique contemporary applications of artificial intelligence techniques in a variety of contexts
    • GA2: Creativity
    • GA4: Knowledge of a discipline
  3. design and develop enhancements to existing artificial intelligence solutions for real-world problems
    • GA2: Creativity
  4. critically analyse future trends and developments in intelligent systems and applications
    • GA4: Knowledge of a discipline
    • GA5: Lifelong learning

Prescribed texts

  • Prescribed text information is not currently available.

  • Prescribed text information is not currently available.
Prescribed texts may change in future study periods.

Teaching and assessment

Notice

Intensive offerings may or may not be scheduled in every session. Please refer to the timetable for further details.

Southern Cross University employs different teaching methods within units to provide students with the flexibility to choose the mode of learning that best suits them. SCU academics strive to use the latest approaches and, as a result, the learning modes and materials may change. The most current information regarding a unit will be provided to enrolled students at the beginning of the study session.

Fee information

Domestic

Commonwealth Supported courses
For information regarding Student Contribution Amounts please visit the Student Contribution Amounts.

Fee paying courses
For postgraduate or undergraduate full fee paying courses please check Domestic Postgraduate Fees OR Domestic Undergraduate Fees

International

Please check the international course and fee list to determine the relevant fees.

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