Note: This unit version is currently under review and is subject to change!

ELEC9302: Signals and Systems (2019 - Semester 2)

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Unit: ELEC9302: Signals and Systems (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Electrical & Information Engineering
Unit Coordinator/s: Dr Li, Liwei
Session options: Semester 2
Versions for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: None.
Prohibitions: ELEC5721.
Brief Handbook Description: 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.
Assumed Knowledge: Basic knowledge of differentiation and integration, differential equations, and linear algebra.
Timetable: ELEC9302 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 1.00 2 13
2 Laboratory 2.00 1 4
3 Tutorial 2.00 1 9
4 E-Learning 1.00 1 13
5 Independent Study 2.00 2 13
T&L Activities: E-Learning: Seminar and onlin discussion/assessment

Independent Study: Self-study

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Unassigned Outcomes
1. Capacity to solve electronic circuit and telecommunication problems using principles of signals and systems.
2. Ability to determine the system impulse response and explain system stability issues.
3. Ability to formulate time and frequency domain descriptions for continuous time signals and linear time invariant (LTI) systems.
4. Ability to determine system response to internal and external input.
5. Ability to build a signal and system model using transform techniques, such as Laplace transform, and Fourier transform.
6. Ability to understand basic signal and system concepts, including size of the signal, classifications, system models.
7. Proficiency in applying concepts, principles and techniques to analyse the electric network.
8. Ability to 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.
9. Fluency in communicating concisely and accurately using varied formats such as written and oral, to deliver specific engineering project information.
10. Capacity to work in a team and promote creative team interaction to encourage contribution from all members to deliver specific engineering projects and assignments.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Lab exercises Yes 5.00 Multiple Weeks 2, 4, 6, 9, 10,
2 Assignment No 10.00 Multiple Weeks 2, 3, 4, 5, 6,
3 Quizzes No 5.00 Multiple Weeks 1, 2, 3, 4, 5, 6, 7,
4 Mid-Semester Exam No 15.00 Week 8 1, 2, 3, 4, 5, 6, 7,
5 Final Exam No 65.00 Exam Period 1, 2, 3, 4, 5, 6, 7,
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: See the policies page of the faculty website at for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
Prescribed Text/s: Note: Students are expected to have a personal copy of all books listed.
  • Linear Systems & Sygnals
Note on Resources: Recommended:

A. V. Oppenheim, A. S. Willsky and S. Hamid, "Signals and Systems," 2nd Edition, Prentice-Hall.

M. Mandal and A. Asif, "Continuous And Discrete Time Signals And Systems," Cambridge University Press, 2007.

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar

Week Description
Week 1 Introduction: signals and systems.
Week 2 Continuous time signals & basic properties of systems.
Week 3 Linear time-invariant (LTI) systems
Week 4 Time domain analysis and convolution integral.
Week 5 System response and stablity.
Week 6 Laplace transform: definition and properties.
Week 7 System analysis based on Laplace transform.
Week 8 Basics of Fourier series.
Assessment Due: Mid-Semester Exam
Week 9 Fourier synthesis and decomposition.
Week 10 Fourier transform: definition and properties.
Week 11 Frequency response.
Week 12 Filter design and signal modulation.
Week 13 State space analysis.
STUVAC (Week 14) .
Exam Period Final Exam
Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Master of Professional Engineering (Electrical) 2015, 2016, 2017, 2018, 2019, 2020
Master of Professional Engineering (Intelligent Information Engineering) 2020
Master of Professional Engineering (Power) 2015, 2016, 2017, 2018, 2019, 2020
Master of Professional Engineering (Software) 2015
Master of Professional Engineering (Telecommunications) 2015, 2016, 2017, 2018, 2019, 2020

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
(6) Communication and Inquiry/ Research (Level 2) No 0%
(7) Project and Team Skills (Level 1) No 0%
(5) Interdisciplinary, Inclusiveness, Influence (Level 2) No 0%
(4) Design (Level 2) No 0%
(2) Engineering/ IT Specialisation (Level 3) No 0%
(3) Problem Solving and Inventiveness (Level 2) No 0%
(1) Maths/ Science Methods and Tools (Level 3) No 0%

These goals are selected from Engineering & IT Graduate Outcomes Table 2018 which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table 2018 for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.