Soft Computing PG (7197.5)
| Available teaching periods | Delivery mode | Location |
|---|---|---|
| View teaching periods | On-campus |
Bruce, Canberra |
| EFTSL | Credit points | Faculty |
| 0.125 | 3 | Faculty Of Science And Technology |
| Discipline | Study level | HECS Bands |
| Academic Program Area - Technology | Post Graduate Level | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
This unit may be cotaught with 7168 Soft Computing.
Learning outcomes
On successful completion of this unit, students will be able to:1. Describe, argue for and critique the Soft Computing discipline. Students will be able to use at least two of the Soft Computing techniques; and
2. Given an artificial intelligence project, a student will be able to: identify and select a suitable Soft Computing technology to solve the problem; construct a solution and implement a Soft Computing solution.
Graduate attributes
1. UC graduates are professional - communicate effectively1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - take pride in their professional and personal integrity
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. UC graduates are global citizens - adopt an informed and balanced approach across professional and international boundaries
2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
2. UC graduates are global citizens - think globally about issues in their profession
2. UC graduates are global citizens - understand issues in their profession from the perspective of other cultures
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
3. UC graduates are lifelong learners - be self-aware
3. UC graduates are lifelong learners - evaluate and adopt new technology
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
Prerequisites
None.Corequisites
Prior or concurrent completion of 11512 Pattern Recognition and Machine Learning PG AND 11521 Programming for Data Science G or 8995 Software Technology 1 G OREnrolment in 354JA Master of Engineering or 846AA Master of Information Technology.
Incompatible units
7168 Soft ComputingEquivalent units
None.Assumed knowledge
Basic mathematics.| Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
|---|---|---|---|---|---|
| 2025 | Bruce, Canberra | Semester 2 | 28 July 2025 | On-campus | Dr Aya Hussein |
| 2026 | Bruce, Canberra | Semester 2 | 10 August 2026 | On-campus | Dr Aya Hussein |
Required texts
There is no mandatory Textbook for this unit. However much of the course content is covered well in the following textbooks: Artificial Intelligence: An Introduction to Intelligent Systems. 2nd Edition, Michael Negnevitsky, Addison Wesley.
The definitive book on Artificial intelligence is "Artificial Intelligence: A Modern Approach, Global Edition (3e) By Stuart Russell, Peter Norvig" is also helpful.
Submission of assessment items
Extensions & Late submissions
- All marked tutorials and assignments will be submitted on Canvas, some also involve a demonstration marked in tutorial class.
- Quizzes will be done during lecture times. These Quizzes are available at that time only.
Special assessment requirements
- It is necessary to pass the Quizzes. If you fail to get 25 of the 50 Quiz marks you will fail the unit.
- Assignment demonstrations (if required) are not optional. You must demonstrate assignments when required. It is your responsibility to arrange with the tutor or unit convenor when to demonstrate your assignments if you cannot attend on the prescribed day(s).
Supplementary assessment
Supplementary assessment is not offered in this unit unless required by the relevant university policy.
Important Note on the combining of Assignment and Exam marks
- NOTE 1: It is necessary to pass the Quiz part of the unit. If you fail the Quizzes your final grade will be NX Fail regardless of your total unit mark.
- NOTE 2: The unit convenor reserves the right to question students on any of their submitted work for moderation and academic integrity purposes, which may result in an adjustment to the marks awarded for a specific task.
- NOTE 3: The lecturer/moderator reserves the right to increase a student’s mark for academic merit. This is done rarely but can be done for: consistency, elegance, forum or class participation or creativity
Students must apply academic integrity in their learning and research activities at UC. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.
Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.
UC students have to complete the Academic Integrity Module annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
UC uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.
Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and University of Canberra (Student Conduct) Rules 2023. For further advice, visit Study Skills.
Learner engagement
Lectures: 24 hours
Tutorials: 22 hours
Marked tutorial 1: 4 hours
Marked tutorial 2: 4 hours
Assignment 1: 20 hours
Assignment 2: 20 hours
Quizz 1: 20
Quizz 2: 36
Total 150 hours
Participation requirements
Your participation may involve demonstrations for any submitted assessments. Your attendance is required to do the Quizzes. No other participation is mandatory.
Required IT skills
Students are required to have programming experience with a high-level programming language (e.g., C++, Java, C#, Matlab or Python) prior to staring the unit.
In-unit costs
None
Work placement, internships or practicums
Not Applicable
- Semester 2, 2024, On-campus, UC - Canberra, Bruce (219766)
- Semester 2, 2023, On-campus, UC - Canberra, Bruce (213715)
- Semester 2, 2022, On-campus, UC - Canberra, Bruce (207254)
- Semester 2, 2021, On-campus, UC - Canberra, Bruce (202103)
- Semester 2, 2020, On-campus, UC - Canberra, Bruce (195612)
- Semester 2, 2019, On-campus, UC - Canberra, Bruce (185354)
- Semester 2, 2018, On-campus, UC - Canberra, Bruce (181989)
