School: Science

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.

  • Unit Title

    Intelligent Systems
  • Unit Code

    CSG2341
  • Year

    2017
  • Enrolment Period

    1
  • Version

    2
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
    Online
  • Unit Co-ordinator

    Dr Syed Mohammed ISLAM

Description

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.

Prerequisite Rule

Students must pass CSP1150

Learning Outcomes

On completion of this unit students should be able to:

  1. Demonstrate the ability to apply computational intelligence techniques to a range of tasks normally considered to require computational intelligence.
  2. Describe the concept of computational intelligence and its associated techniques and algorithms.
  3. Identify appropriate intelligent system solutions for a range of computational intelligence tasks.

Unit Content

  1. Artificial life and simulations.
  2. Artificial neural networks.
  3. Evolutionary algorithms.
  4. Fuzzy systems.
  5. Hybrid systems.
  6. Rule-based systems.
  7. Swarm intelligence.

Teaching and Learning Processes

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.

Assessment

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.

ON CAMPUS
TypeDescriptionValue
PortfolioWorkshops10%
AssignmentProgramming assignment40%
ExaminationEnd of semester examination50%
ONLINE
TypeDescriptionValue
PortfolioWorkshops10%
AssignmentProgramming assignment40%
ExaminationEnd of semester examination50%

Disability Standards for Education (Commonwealth 2005)

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 Student Equity, Diversity and Disability Service website.

Academic Misconduct

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:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students’ work;

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

School: Science

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.

  • Unit Title

    Intelligent Systems
  • Unit Code

    CSG2341
  • Year

    2017
  • Enrolment Period

    2
  • Version

    2
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
    Online
  • Unit Co-ordinator

    Dr Syed Mohammed ISLAM

Description

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.

Prerequisite Rule

Students must pass CSP1150

Learning Outcomes

On completion of this unit students should be able to:

  1. Demonstrate the ability to apply computational intelligence techniques to a range of tasks normally considered to require computational intelligence.
  2. Describe the concept of computational intelligence and its associated techniques and algorithms.
  3. Identify appropriate intelligent system solutions for a range of computational intelligence tasks.

Unit Content

  1. Artificial life and simulations.
  2. Artificial neural networks.
  3. Evolutionary algorithms.
  4. Fuzzy systems.
  5. Hybrid systems.
  6. Rule-based systems.
  7. Swarm intelligence.

Teaching and Learning Processes

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.

Assessment

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.

ON CAMPUS
TypeDescriptionValue
PortfolioWorkshops10%
AssignmentProgramming assignment40%
ExaminationEnd of semester examination50%
ONLINE
TypeDescriptionValue
PortfolioWorkshops10%
AssignmentProgramming assignment40%
ExaminationEnd of semester examination50%

Core Reading(s)

  • Negnevitsky, M. (2005). Artificial intelligence: A guide to intelligent systems. London: Addison Wesley.

Disability Standards for Education (Commonwealth 2005)

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 Student Equity, Diversity and Disability Service website.

Academic Misconduct

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:

  • plagiarism;
  • unauthorised collaboration;
  • cheating in examinations;
  • theft of other students’ work;

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