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Soft Computing (7168.5)

Level: Level 3 - Undergraduate Advanced Unit
Credit Points: 3
HECS Bands: 2
Faculty: Faculty of Science and Technology
Discipline: Academic Program Area - Technology


Unit Outlines

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  • Semester 2, 2019, ON-CAMPUS, BRUCE (185341) - View
  • Semester 2, 2018, ON-CAMPUS, BRUCE (181934) - View
  • Semester 2, 2017, ON-CAMPUS, BRUCE (166257) - View
  • Semester 2, 2016, ON-CAMPUS, BRUCE (151388) - View
  • Semester 2, 2015, ON-CAMPUS, BRUCE (139781) - View

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This is an advanced unit in artificial intelligence emphasizing the Soft Computing discipline. Each semester, coverage is of two or three topics from Artificial Neural Networks, Fuzzy Systems, Genetic Algorithms, Software Agents, Artificial Life, and Complex Adaptive Systems. The unit content covers Soft Computing theory, fusion of two or more Soft Computing techniques and their applicability to real world applications. The choices depend on the availability of lecturers, student interest and research activity in the School. The unit has a strong practical focus with the implementation of Soft Computing techniques in laboratory exercises and assignments.

Learning Outcomes

On successful completion of this unit, students will be able to:

1. Describe, argue for and critique the Soft Computing discipline and be able to use at least two of the Soft Computing techniques; and

2. Identify and select a suitable Soft Computing technology to solve the problem; construct a solution and implement a Soft Computing solution.

Assessment Items

Contact Hours

Up to fifty two hours per semester.


Software Technology 2.



Assumed Knowledge


Incompatible Units


Equivalent Units


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