|Unit name||Computational Intelligence|
|Faculty/School||College of Sciences and Engineering
School of Engineering
|Available as student elective?||%asset_metadata_unit.AvailableAsElective_value^empty:No%|
Please check that your computer meets the minimum System Requirements if you are attending via Distance/Off-Campus.
Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Special approval is required for enrolment into TNE Program units.
TNE Program units special approval requirements.
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (see withdrawal dates explained for more information).
1. Design rule-base and fuzzy expert systems, artificial neural networks with back propagation learning algorithm and competitive learning, genetic algorithms and hybrid intelligent systems for solving practical problems.
2. Evaluate performance of intelligence systems in solving specific problems in engineering and science.
3. Communicate the results through writing professional reports.
Five major assessments: 4 x MATLAB assignments (10% each) and 3-hr end of semester exam (60%)
You cannot enrol in this unit as well as the following:
|Timetable||View the lecture timetable | View the full unit timetable|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.