Soft Computing PG (7197.5)
|Available teaching periods||Delivery mode||Location|
|View teaching periods|| On-Campus
|| UC - Canberra, Bruce
|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)
Learning outcomesOn 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 attributes1. UC graduates are professional - communicate effectively
1. 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
Prerequisites8995 Software Technology 1 G.
Assumed knowledgeBasic mathematics.
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
|2021||UC - Canberra, Bruce||Semester 2||02 August 2021||On-Campus||Mr Robert Cox|
|2022||UC - Canberra, Bruce||Semester 2||01 August 2022||On-Campus||Mr Robert Cox|
There is no mandatory Textbook for this unit. However the much of the course content is covered well in the following textbook, (which also has a good introduction to Neural Networks, Genetic Algorithms and even has a chapter on Hybrid AI). 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" which is also helpful.
Students may find a Book on C# or a book on Python useful.. See week 1 slides for details.
Submission of assessment items
Extensions & Late submissions
All marked tutorials and Assignments will be submitted on Canvas and may also involve a demonstration marked in class
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).
Quizzes will be done during lecture times.
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 where 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.
The late penalties for MT1 and MT2 assignments vary from those normally applied by the university - specifically some re-submissions may be permitted, see the relevant assignment documentation and Canvas page for details.
Supplementary assessment is not offered in this unit unless required by the relevant university policy.
Use of text matching software
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 convener reserves the right to question students orally on any of their submitted work.
NOTE3: 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.
NOTE4: If student behaviour could possibly be interpreted as plagiarism, but there is some doubt they will be advised by the unit convener to modify their behaviour.
NOTE5: If the lecturer feels a student is guilty of deliberate unambiguous plagiarism, the students details, and the plagiarism details will be passed to the ADE (Assistant Dean Academic) for assessment. Students are referred the university policy on plagiarism in this case.
NOTE6: If optional work is not submitted the student will receive a grade of 0 for that work;
Lectures 26 hours
Tutorials 12 hours
Consultation 8 hours (on - line)
Marked tutorial 1, 4 hours
Marked tutorial 2, 3 hours
Assignment 1, 18 hours
Assignment 2, 18 hours
Non assessable tutorials 15 hours
Homework 12 hours
Reading 29 hours
Quizes 5 hours
Total 150 hours (to get to a grade of 65 (credit) for an average student)
Your subject participation may involve demonstrations for any submitted assessment material; Your attendance in the virtual room is required to do the Quizes. No other participation is
Required IT skills
Students are assumed to be, generally computer literate and comfortable writing, compiling and executing a program in a 3rd generation
object oriented language such as java, c++ or c#.
This unit involves online meetings in real time using the Virtual Room in your UCLearn teaching site. The Virtual Room allows you to communicate in real time with your lecturer and other students. To participate verbally, rather than just typing, you will need a microphone. For best audio quality we recommend a microphone and speaker headset. For more information and to test your computer, go to the Virtual Room in your UCLearn site and 'Join Course Room'. This will trigger a tutorial to help familiarise you with the functionality of the virtual room.
Work placement, internships or practicums
- 7168 Soft Computing.