School: Engineering

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 there may be some modifications to the assessment schedule promoted in Handbook for Semester 1 2023 Units. All assessment changes will be published by 20th February 2023. All students are reminded to check the handbook at the beginning of semester to ensure they have the correct outline.

  • Unit Title

    Signals and Systems
  • Unit Code

    ENS6160
  • Year

    2023
  • Enrolment Period

    1
  • Version

    3
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
  • Unit Coordinator

    Dr Abdellah SHAFIEIAN DASTJERDI

Description

This unit introduces the basic concepts of signal and system analysis including continuous-time signals and systems, convolution, the Laplace transform, frequency analysis with the Fourier series and Fourier transform and an introduction to discrete-time signals and systems. Students will be exposed to applications drawn broadly from electronic, communication, control and mechanical systems.

Equivalent Rule

Unit was previously coded ENS5341

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply appropriate mathematical tools and techniques to model, represent and interpret continuous and discrete time signals and systems, in both time-domain and frequency-domain.
  2. Analyse the time and frequency domain performance of signals and systems for linear time invariant classification.
  3. Use software simulation tools to predict the behaviour of signals and systems.
  4. Evaluate and characterise signals, sampling and aliasing phenomena in order to convert signals from continuous to discrete time.
  5. Research, model and apply signals and systems techniques for real world applications.

Unit Content

  1. Representation and mathematical modelling of signals.
  2. Continuous-time systems (linearity, time invariance, causality, stability).
  3. The Laplace transform and the s-domain.
  4. Fourier series analysis of periodic signals.
  5. The Fourier transform.
  6. Introduction to discrete-time signals and systems.
  7. Applications to real-world engineering systems.
  8. System analysis using state variables.
  9. Fourier transform of sampled signals.

Learning Experience

Students will attend on campus classes as well as engage in learning activities through ECU's LMS

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

For more information see the Semester Timetable

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
AssignmentProblem solving exercise20%
Laboratory Work ^Laboratory work and reports20%
AssignmentResearch, model and analysis -based problem20%
Examination ^End of semester examination40%

^ Mandatory to Pass


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.

Assessment

Students please note: The marks and grades received by students on assessments may be subject to further moderation. Informal vivas may be conducted as part of an assessment task, where staff require further information to confirm the learning outcomes have been met. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.

Academic Integrity

Integrity is a core value at Edith Cowan University, and it is expected that ECU students complete their assessment tasks honestly and with acknowledgement of other people's work as well as any generative artificial intelligence tools that may have been used. This means that assessment tasks must be completed individually (unless it is an authorised group assessment task) and any sources used must be referenced.

Breaches of academic integrity can include:

Plagiarism

Copying the words, ideas or creative works of other people or generative artificial intelligence tools, without referencing in accordance with stated University requirements. Students need to seek approval from the Unit Coordinator within the first week of study if they intend to use some of their previous work in an assessment task (self-plagiarism).

Unauthorised collaboration (collusion)

Working with other students and submitting the same or substantially similar work or portions of work when an individual submission was required. This includes students knowingly providing others with copies of their own work to use in the same or similar assessment task(s).

Contract cheating

Organising a friend, a family member, another student or an external person or organisation (e.g. through an online website) to complete or substantially edit or refine part or all of an assessment task(s) on their behalf.

Cheating in an exam

Using or having access to unauthorised materials in an exam or test.

Serious outcomes may be imposed if a student is found to have committed one of these breaches, up to and including expulsion from the University for repeated or serious acts.

ECU's policies and more information about academic integrity can be found on the student academic integrity website.

All commencing ECU students are required to complete the Academic Integrity Module.

Assessment Extension

In some circumstances, Students may apply to their Unit Coordinator to extend the due date of their Assessment Task(s) in accordance with ECU's Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000001386.

Special Consideration

Students may apply for Special Consideration in respect of a final unit grade, where their achievement was affected by Exceptional Circumstances as set out in the Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000003318.

ENS6160|3|1

School: Engineering

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

    Signals and Systems
  • Unit Code

    ENS6160
  • Year

    2023
  • Enrolment Period

    2
  • Version

    3
  • Credit Points

    15
  • Full Year Unit

    N
  • Mode of Delivery

    On Campus
  • Unit Coordinator

    Dr Abdellah SHAFIEIAN DASTJERDI

Description

This unit introduces the basic concepts of signal and system analysis including continuous-time signals and systems, convolution, the Laplace transform, frequency analysis with the Fourier series and Fourier transform and an introduction to discrete-time signals and systems. Students will be exposed to applications drawn broadly from electronic, communication, control and mechanical systems.

Equivalent Rule

Unit was previously coded ENS5341

Learning Outcomes

On completion of this unit students should be able to:

  1. Apply appropriate mathematical tools and techniques to model, represent and interpret continuous and discrete time signals and systems, in both time-domain and frequency-domain.
  2. Analyse the time and frequency domain performance of signals and systems for linear time invariant classification.
  3. Use software simulation tools to predict the behaviour of signals and systems.
  4. Evaluate and characterise signals, sampling and aliasing phenomena in order to convert signals from continuous to discrete time.
  5. Research, model and apply signals and systems techniques for real world applications.

Unit Content

  1. Representation and mathematical modelling of signals.
  2. Continuous-time systems (linearity, time invariance, causality, stability).
  3. The Laplace transform and the s-domain.
  4. Fourier series analysis of periodic signals.
  5. The Fourier transform.
  6. Introduction to discrete-time signals and systems.
  7. Applications to real-world engineering systems.
  8. System analysis using state variables.
  9. Fourier transform of sampled signals.

Learning Experience

Students will attend on campus classes as well as engage in learning activities through ECU's LMS

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

For more information see the Semester Timetable

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
AssignmentProblem solving exercise20%
Laboratory Work ^Laboratory work and reports20%
AssignmentResearch, model and analysis -based problem20%
Examination ^End of semester examination40%

^ Mandatory to Pass


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.

Assessment

Students please note: The marks and grades received by students on assessments may be subject to further moderation. Informal vivas may be conducted as part of an assessment task, where staff require further information to confirm the learning outcomes have been met. All marks and grades are to be considered provisional until endorsed by the relevant School Progression Panel.

Academic Integrity

Integrity is a core value at Edith Cowan University, and it is expected that ECU students complete their assessment tasks honestly and with acknowledgement of other people's work as well as any generative artificial intelligence tools that may have been used. This means that assessment tasks must be completed individually (unless it is an authorised group assessment task) and any sources used must be referenced.

Breaches of academic integrity can include:

Plagiarism

Copying the words, ideas or creative works of other people or generative artificial intelligence tools, without referencing in accordance with stated University requirements. Students need to seek approval from the Unit Coordinator within the first week of study if they intend to use some of their previous work in an assessment task (self-plagiarism).

Unauthorised collaboration (collusion)

Working with other students and submitting the same or substantially similar work or portions of work when an individual submission was required. This includes students knowingly providing others with copies of their own work to use in the same or similar assessment task(s).

Contract cheating

Organising a friend, a family member, another student or an external person or organisation (e.g. through an online website) to complete or substantially edit or refine part or all of an assessment task(s) on their behalf.

Cheating in an exam

Using or having access to unauthorised materials in an exam or test.

Serious outcomes may be imposed if a student is found to have committed one of these breaches, up to and including expulsion from the University for repeated or serious acts.

ECU's policies and more information about academic integrity can be found on the student academic integrity website.

All commencing ECU students are required to complete the Academic Integrity Module.

Assessment Extension

In some circumstances, Students may apply to their Unit Coordinator to extend the due date of their Assessment Task(s) in accordance with ECU's Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000001386.

Special Consideration

Students may apply for Special Consideration in respect of a final unit grade, where their achievement was affected by Exceptional Circumstances as set out in the Assessment, Examination and Moderation Procedures - for more information visit https://askus2.ecu.edu.au/s/article/000003318.

ENS6160|3|2