Courses & Units
Computational Intelligence ENG335
Hobart
Introduction
The unit covers rule-based expert systems, fuzzy expert systems, frame-based expert systems, artificial neural networks, evolutionary computation, hybrid intelligent systems and knowledge engineering. The aim of this course is to acquaint students with intelligent systems and provide them with a working knowledge for building these systems.
Summary
| Unit name | Computational Intelligence |
|---|---|
| Unit code | ENG335 |
| Credit points | 12.5 |
| College/School | College of Sciences and Engineering School of Engineering |
| Discipline | Engineering |
| Coordinator | Professor Michael Negnevitsky |
| Available as student elective? | Yes |
| Delivered By | University of Tasmania |
| Level | Advanced |
Availability
| Location | Study period | Attendance options | Available to | ||
|---|---|---|---|---|---|
| Hobart | Semester 2 | On-Campus | International | Domestic | |
Key
- On-campus
- Off-Campus
- International students
- Domestic students
Note
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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.
Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| Semester 2 | 11/7/2022 | 9/8/2022 | 29/8/2022 | 16/10/2022 |
* 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).
Unit census dates currently displaying for 2022 are indicative and subject to change. Finalised census dates for 2022 will be available from the 1st October 2021.
Learning Outcomes
- Design intelligent systems using neural networks, fuzzy logic and genetic algorithms for solving practical problems.
- Evaluate performance of intelligent systems in solving specific problems in engineering and science.
- Communicate the results of intelligent system designs through writing professional reports.
| Field of Education | Commencing Student Contribution 1 | Grandfathered Student Contribution 1 | Approved Pathway Course Student Contribution 2 | Domestic Full Fee |
|---|---|---|---|---|
| 020119 | $1,002.00 | $1,002.00 | not applicable | $2,798.00 |
- Available as a Commonwealth Supported Place
- HECS-HELP is available on this unit, depending on your eligibility3
- FEE-HELP is available on this unit, depending on your eligibility4
1 Please refer here more information on student contribution amounts.
2 Information on eligibility and Approved Pathway courses can be found here
3 Please refer here for eligibility for HECS-HELP
4 Please refer here for eligibility for FEE-HELP
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to this page to get an indicative course cost.
Requisites
Prerequisites
KME271|KME271 or KMA252Teaching
| Assessment | Assignment (15%)|Assignment (15%)|Assignment (15%)|Assignment (15%)|Examination - take home (40%) |
|---|---|
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
Links | Booktopia textbook finder |
|---|
The University reserves the right to amend or remove courses and unit availabilities, as appropriate.