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This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.
This unit is designed to introduce the Computational Intelligence (CI) techniques used for making machines intelligent. This field is more oriented to numerical techniques than symbolic techniques. They include neural networks, evolutionary computing and fuzzy logic systems.
Students must pass CSP1150
On completion of this unit students should be able to:
Students will attend on campus classes as well as engage in learning activities through ECU Blackboard.
| Joondalup | Mount Lawley | South West (Bunbury) | |
|---|---|---|---|
| Semester 2 | 13 x 1 hour lab | Not Offered | Not Offered |
| Semester 2 | 13 x 2 hour lecture | Not Offered | Not Offered |
For more information see the Semester Timetable
Students will engage in learning experiences through ECU Blackboard as well as additional ECU learning technologies.
The unit will include two hours of lectures per week covering the content of the unit. In addition, there will be one hour of practical work per week in which students will either use packages demonstrating the use of the various techniques being covered or be preparing software that will be used in an investigation.
GS1 GRADING SCHEMA 1 Used for standard coursework units
Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.
| Type | Description | Value |
|---|---|---|
| Portfolio | Workshops | 10% |
| Assignment | Programming assignment | 40% |
| Examination | End of semester examination | 50% |
| Type | Description | Value |
|---|---|---|
| Portfolio | Workshops | 10% |
| Assignment | Programming assignment | 40% |
| Examination | End of semester examination | 50% |
For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.
Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:
Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.
The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.
CSG2341|2|1
This unit information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester.
This unit is designed to introduce the Computational Intelligence (CI) techniques used for making machines intelligent. This field is more oriented to numerical techniques than symbolic techniques. They include neural networks, evolutionary computing and fuzzy logic systems.
Students must pass CSP1150
On completion of this unit students should be able to:
Students will attend on campus classes as well as engage in learning activities through ECU Blackboard.
| Joondalup | Mount Lawley | South West (Bunbury) | |
|---|---|---|---|
| Semester 2 | 13 x 1 hour lab | Not Offered | Not Offered |
| Semester 2 | 13 x 2 hour lecture | Not Offered | Not Offered |
For more information see the Semester Timetable
Students will engage in learning experiences through ECU Blackboard as well as additional ECU learning technologies.
The unit will include two hours of lectures per week covering the content of the unit. In addition, there will be one hour of practical work per week in which students will either use packages demonstrating the use of the various techniques being covered or be preparing software that will be used in an investigation.
GS1 GRADING SCHEMA 1 Used for standard coursework units
Students please note: The marks and grades received by students on assessments may be subject to further moderation. All marks and grades are to be considered provisional until endorsed by the relevant Board of Examiners.
| Type | Description | Value |
|---|---|---|
| Test | Online quizzes | 20% |
| Report | Algorithm Development Report | 30% |
| Examination | End of semester examination | 50% |
| Type | Description | Value |
|---|---|---|
| Test | Online quizzes | 20% |
| Report | Algorithm Development Report | 30% |
| Examination | End of semester examination | 50% |
For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.
Edith Cowan University has firm rules governing academic misconduct and there are substantial penalties that can be applied to students who are found in breach of these rules. Academic misconduct includes, but is not limited to:
Additionally, any material submitted for assessment purposes must be work that has not been submitted previously, by any person, for any other unit at ECU or elsewhere.
The ECU rules and policies governing all academic activities, including misconduct, can be accessed through the ECU website.
CSG2341|2|2