Soft Computing (7168.5)

Availability

• UC - Canberra, Bruce

  Year	Teaching Period	Convener		Mode of Delivery
  2020	Semester 2	MR   Robert   COX	(Ph: +61 2 62015230 )	ON-CAMPUS
  2021	Semester 2	MR   Robert   COX	(Ph: +61 2 62015230 )	ON-CAMPUS

Possible changes to your unit's learning activities and assessment items

For the remainder of 2020, resulting from Australian Government's directives requiring physical distancing and restrictions on movement because of the COVID-19 pandemic, any exams that are required for assessment in a unit will be online exams. Online exams may also use online proctoring to help assure the academic integrity of those exams. Please contact your unit convener with any questions.

While the University has made efforts to ensure that Unit Outlines reflect a unit’s learning activities and assessment items, any changes to Australian Government directives because of the COVID-19 pandemic may require changes to these during the semester to ensure the safety and well being of students and staff. These changes will not be updated in the published unit outline, but will be communicated to you via your unit’s UCLearn(Canvas) teaching site. Any changes made will continue to meet the unit’s learning outcomes, as described in the Unit Outline.

Unit Outlines

To view your Unit Outline, click View to log in to MyUC and access this information, or visit your unit's online teaching site.

• Semester 2, 2020, ON-CAMPUS, BRUCE (195599) - View
• 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

If a link to your Unit Outline is not displayed, please check back later. Unit Outlines are generally published by Week One of the relevant teaching period.

Syllabus

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.

Prerequisites

4483 Software Technology 1

Corequisites

None.

Assumed Knowledge

None.

Incompatible Units

None.

Equivalent Units

None.