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

    Artificial Intelligence
  • Unit Code

    CSI6209
  • Year

    2021
  • Enrolment Period

    1
  • Version

    2
  • Credit Points

    20
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
    Online
  • Unit Coordinator

    Dr Syed Mohammed Shamsul ISLAM

Description

This unit is designed to introduce the Computational Intelligence (CI) techniques used for making machines intelligent. This unit will expose students to numerical techniques as used in neural networks, evolutionary computing and fuzzy logic systems.

Prerequisite Rule

Students must have passed CSI6208 and CSI6207

Learning Outcomes

On completion of this unit students should be able to:

  1. Solve real world problems by applying a range of computational intelligence techniques.
  2. Investigate appropriate intelligent system solutions for a range of complex computational intelligence applications.
  3. Collaboratively develop and demonstrate an intelligence system and its associated techniques and algorithms.

Unit Content

  1. Introduction to AI concepts.
  2. Rule-based and fuzzy logic systems.
  3. Machine learning techniques for intelligent systems including artificial neural networks and evolutionary algorithms.
  4. Hybrid intelligent systems.
  5. Introduction to deep learning.

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 School Progression Panel.

ON CAMPUS
TypeDescriptionValue
TestOnline quizzes30%
ReportAI project proposal30%
ProjectIntelligent System design, implementation and presentation40%
ONLINE
TypeDescriptionValue
TestOnline quizzes30%
ReportAI project proposal30%
ProjectIntelligent System design, implementation and presentation40%

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 Access and Inclusion 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.

CSI6209|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

    Artificial Intelligence
  • Unit Code

    CSI6209
  • Year

    2021
  • Enrolment Period

    2
  • Version

    3
  • Credit Points

    20
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
    Online
  • Unit Coordinator

    Dr Syed Mohammed Shamsul ISLAM

Description

This unit is designed to introduce the Computational Intelligence (CI) techniques used for making machines intelligent. This unit will expose students to numerical techniques as used in neural networks, evolutionary computing and fuzzy logic systems.

Prerequisite Rule

Students enrolled in I45 must pass CSI6207 and CSI6208. Students enrolled in I97 must pass CSI6208.

Learning Outcomes

On completion of this unit students should be able to:

  1. Solve real world problems by applying a range of computational intelligence techniques.
  2. Investigate appropriate intelligent system solutions for a range of complex computational intelligence applications.
  3. Collaboratively develop and demonstrate an intelligence system and its associated techniques and algorithms.

Unit Content

  1. Introduction to AI concepts.
  2. Rule-based and fuzzy logic systems.
  3. Machine learning techniques for intelligent systems including artificial neural networks and evolutionary algorithms.
  4. Hybrid intelligent systems.
  5. Introduction to deep learning.

Learning Experience

ON-CAMPUS

Students will attend on campus classes as well as engage in learning activities through ECUs LMS

JoondalupMount LawleySouth West (Bunbury)
Semester 213 x 1 hour workshopNot OfferedNot Offered

For more information see the Semester Timetable

ONLINE

Students will engage in learning experiences through ECUs LMS as well as additional ECU l

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 School Progression Panel.

ON CAMPUS
TypeDescriptionValue
TestOnline quizzes30%
ReportAI project proposal30%
ProjectIntelligent System design, implementation and presentation40%
ONLINE
TypeDescriptionValue
TestOnline quizzes30%
ReportAI project proposal30%
ProjectIntelligent System design, implementation and presentation40%

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 Access and Inclusion 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.

CSI6209|3|2