Skip to main content

We are aiming for an incremental return to campus in accordance with guidelines provided by NSW Health and the Australian Government. Until this time, learning activities and assessments will be planned and scheduled for online delivery where possible, and unit-specific details about face-to-face teaching will be provided on Canvas as the opportunities for face-to-face learning become clear.

Unit of study_

ELEC9302: Signals and Systems

This unit aims to teach some of the basic properties of many engineering signals and systems and the necessary mathematical tools that aid in this process. The particular emphasis is on the time and frequency domain modeling of linear time invariant systems. The concepts learnt in this unit will be heavily used in many units of study (in later years) in the areas of communication, control, power systems and signal processing. A basic knowledge of differentiation and integration, differential equations, and linear algebra is assumed.

Details

Academic unit Electrical and Information Engineering
Unit code ELEC9302
Unit name Signals and Systems
Session, year
? 
Semester 2, 2020
Attendance mode Normal day
Location Camperdown/Darlington, Sydney
Credit points 6

Enrolment rules

Prohibitions
? 
ELEC5721
Prerequisites
? 
None
Corequisites
? 
None
Assumed knowledge
? 

Basic knowledge of differentiation & integration, differential equations, and linear algebra.

Available to study abroad and exchange students

No

Teaching staff and contact details

Coordinator Liwei Li, liwei.li@sydney.edu.au
Type Description Weight Due Length
Final exam (Open book) Type C final exam Final exam
Final Exam
65% Formal exam period 2 hours
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
Small test group assignment Lab exercises
5% Multiple weeks n/a
Outcomes assessed: LO2 LO10 LO9 LO6 LO4
Tutorial quiz Quizzes
5% Multiple weeks n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8
Assignment Assignment
10% Multiple weeks n/a
Outcomes assessed: LO2 LO3 LO4 LO5 LO6 LO8
Assignment Mid-semester Assignment
Individual Assignment
15% Week 08 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO5 LO6 LO7
group assignment = group assignment ?
Type C final exam = Type C final exam ?

Detailed information for each assessment can be found on Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Detailed information for each assessment can be found on Canvas.

Mark range

Description

High distinction

85 - 100

 

Distinction

75 - 84

 

Credit

65 - 74

 

Pass

50 - 64

 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see sydney.edu.au/students/guide-to-grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

Academic integrity

The Current Student website provides information on academic honesty, academic dishonesty, and the resources available to all students.

The University expects students and staff to act ethically and honestly and will treat all allegations of academic dishonesty or plagiarism seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic dishonesty. If such matches indicate evidence of plagiarism or other forms of dishonesty, your teacher is required to report your work for further investigation.

WK Topic Learning activity Learning outcomes
Week 01 Introduction: signals and systems Lecture (2 hr)  
Week 02 Continuous time signals and basic properties of systems Lecture (2 hr)  
Week 03 Linear time-invariant (LTI) systems Lecture (2 hr)  
Week 04 Time domain analysis and convolution integral Lecture (2 hr)  
Week 05 System response and stability Lecture (2 hr)  
Week 06 Laplace transform: definition and properties Lecture (2 hr)  
Week 07 System analysis based on Laplace transform Lecture (2 hr)  
Week 08 Basics of Fourier series Lecture (2 hr)  
Week 09 Fourier synthesis and decomposition Lecture (2 hr)  
Week 10 Fourier transform: definition and properties Lecture (2 hr)  
Week 11 Frequency response Lecture (2 hr)  
Week 12 Filter design and signal modulation, State space analysis Lecture (2 hr)  

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Prescribed readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University’s graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. solve electronic circuit and telecommunication problems using principles of signals and systems
  • LO2. determine the system impulse response and explain system stability issues
  • LO3. formulate time and frequency domain descriptions for continuous time signals and linear time invariant (LTI) systems
  • LO4. determine system response to internal and external input
  • LO5. build a signal and system model using transform techniques, such as Laplace transform, and Fourier transform
  • LO6. understand basic signal and system concepts, including size of the signal, classifications amd system models
  • LO7. demonstrate proficiency in applying concepts, principles and techniques to analyse the electric network
  • LO8. identify information needs and target information searches effectively and efficiently using varied sources such as internet, library databases and electronic publications as part of specific engineering projects
  • LO9. demonstrate fluency in communicating concisely and accurately using varied formats such as written and oral, to deliver specific engineering project information
  • LO10. demonstrate the capacity to work in a team and promote creative team interaction to encourage contribution from all members to deliver specific engineering projects and assignments.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9
Thank you very much for your feedback and comments. It has been a wonderful experience to lecturing ELEC9302 Signals and Systems and working with so many young students this semester. I can see that the students have very positive feedback about the lectures, laboratories, as these activities are good prospects for students to really “see” and “manipulate” the “signals” and “system” in the lab environment, which intend to let the students to understand the concept better and easier. I would also like to take this great opportunity to sincerely thank you for your great effort and support for this unit of study throughout the whole period. If you have any further questions or you would like to discuss more about your future study plan, please feel free to contact me by email, phone or in person. Finally, wishing you an amazing adventure and all the very best for the future study. Merry Christmas and Happy New Year to all of you and your families!

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.