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.

Please note that given the circumstances of COVID-19, there may be some modifications to the assessment schedule promoted in Handbook for Semester 1 2020 Units. Students will be notified of all approved modifications by Unit Coordinators via email and Unit Blackboard sites. Where changes have been made, these are designed to ensure that you still meet the unit learning outcomes in the context of our adjusted teaching and learning arrangements.

  • Unit Title

    Threat Detection Systems
  • Unit Code

    SCY2107
  • Year

    2020
  • Enrolment Period

    1
  • Version

    1
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
    Online
  • Unit Coordinator

    A/Prof David Jonathan BROOKS

Description

At the conclusion of the unit students will have an understanding of the scientific foundation used to detect threats that can exist from an array of crime facilitators. The unit identifies and explains the scientific principles, design, integration and application of threat detection using the latest technology. Current technology is examined including intruder detection, contraband detection, intelligence devices and drug detection systems. The unit results in the student modeling their own threat detection system design.

Equivalent Rule

Unit was previously coded SCY2111

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply a systematic problem-solving technique to security threat detection that aligns with professional standards.
  2. Deconstruct an organisation's security threat detection needs.
  3. Describe the elements that form a threat detection system.
  4. Design a threat detection system using electronic security technology.
  5. Explain the theories, concepts and principles that underpin threat detection in the domain of electronic security technology.

Unit Content

  1. Contraband detection technologies.
  2. Determining contextual threats.
  3. Electronic counter measures.
  4. Establishing system objectives.
  5. Intrusion detection technologies.
  6. Sensor technology and methods.
  7. The science of detection.
  8. Threat detection system design and integration.

Learning Experience

ON-CAMPUS

Students will attend on campus classes as well as engage in learning activities through ECU Blackboard.

JoondalupMount LawleySouth West (Bunbury)
Semester 213 x 2 hour lectureNot OfferedNot Offered
Semester 213 x 1 hour workshopNot OfferedNot Offered

For more information see the Semester Timetable

ONLINE

Students will engage in learning experiences through ECU Blackboard as well as additional ECU learning technologies.

Additional Learning Experience Information

Lectures, tutorials, and syndicate activity work.

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
EssayCritically evaluate the efficacy of detection sensor technologies20%
Case StudyThreat detection technologies - develop a security strategy employing relevant technologies to detect contextual threats40%
ExaminationEnd of semester examination40%
ONLINE
TypeDescriptionValue
EssayCritically evaluate the efficacy of detection sensor technologies20%
Case StudyThreat detection technologies - develop a security strategy employing relevant technologies to detect contextual threats40%
ExaminationEnd of semester examination40%

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.

SCY2107|1|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.

Please note that given the circumstances of COVID-19, there may be some modifications to the assessment schedule promoted in Handbook for this unit. All assessment changes will be published by 27 July 2020. All students are reminded to check handbook at the beginning of semester to ensure they have the correct outline.

  • Unit Title

    Threat Detection Systems
  • Unit Code

    SCY2107
  • Year

    2020
  • Enrolment Period

    2
  • Version

    1
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
    Online
  • Unit Coordinator

    A/Prof David Jonathan BROOKS

Description

At the conclusion of the unit students will have an understanding of the scientific foundation used to detect threats that can exist from an array of crime facilitators. The unit identifies and explains the scientific principles, design, integration and application of threat detection using the latest technology. Current technology is examined including intruder detection, contraband detection, intelligence devices and drug detection systems. The unit results in the student modeling their own threat detection system design.

Equivalent Rule

Unit was previously coded SCY2111

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply a systematic problem-solving technique to security threat detection that aligns with professional standards.
  2. Deconstruct an organisation's security threat detection needs.
  3. Describe the elements that form a threat detection system.
  4. Design a threat detection system using electronic security technology.
  5. Explain the theories, concepts and principles that underpin threat detection in the domain of electronic security technology.

Unit Content

  1. Contraband detection technologies.
  2. Determining contextual threats.
  3. Electronic counter measures.
  4. Establishing system objectives.
  5. Intrusion detection technologies.
  6. Sensor technology and methods.
  7. The science of detection.
  8. Threat detection system design and integration.

Learning Experience

ON-CAMPUS

Students will attend on campus classes as well as engage in learning activities through ECU Blackboard.

JoondalupMount LawleySouth West (Bunbury)
Semester 213 x 2 hour lectureNot OfferedNot Offered
Semester 213 x 1 hour workshopNot OfferedNot Offered

For more information see the Semester Timetable

ONLINE

Students will engage in learning experiences through ECU Blackboard as well as additional ECU learning technologies.

Additional Learning Experience Information

Lectures, tutorials, and syndicate activity work.

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
EssayCritically evaluate the efficacy of detection sensor technologies20%
Case StudyThreat detection technologies - develop a security strategy employing relevant technologies to detect contextual threats40%
TestOnline test20%
Reflective PracticeReflection on unit learning20%
ONLINE
TypeDescriptionValue
EssayCritically evaluate the efficacy of detection sensor technologies20%
Case StudyThreat detection technologies - develop a security strategy employing relevant technologies to detect contextual threats40%
TestOnline test20%
Reflective PracticeReflection on unit learning20%

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.

SCY2107|1|2