• Offered by RS Electrical, Energy and Materials Engineering
  • ANU College ANU College of Engineering and Computer Science
  • Course subject Engineering
  • Areas of interest Engineering
  • Academic career UGRD
  • Course convener
    • Dr Xiangyun Zhou
  • Mode of delivery In Person
  • Offered in Second Semester 2020
    See Future Offerings

The concepts of signals and systems are at the heart of our modern world. They exist in a wide range of engineering disciplines ranging from electrical and electronic systems, mechanical systems, thermal and chemical systems, to biomedical system . This course presents the common principles, theory and techniques fundamental to the analysis and design of continuous-time and discrete-time signals and systems applicable to all engineering disciplines. It begins by introducing an analytical framework describing signals and systems. The following specific topics are covered subsequently: basic properties of signals and systems, linear time-invariant systems, Fourier series representations of continuous-time and discrete-time signals, signal analysis through the Fourier transform, filter design, and sampling. The mathematical concepts are illustrated with examples from different engineering disciplines and the techniques are practiced in laboratory activities.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Demonstrate understanding of continuous-time and discrete-time signals and systems and analyse their properties such as causality, linearity, time invariance and stability.
  2. Describe and model signals and systems arising from different engineering disciplines using a common analytical framework and apply common engineering tools and techniques to problem solving across these disciplines.
  3. Use impulse response, frequency response and Fourier methods in analysing signals and systems in time and frequency domains, as well as low-pass, band-pass and high-pass filter designs.
  4. Explain the concept of sampling, the Sampling Theorem, aliasing and the Nyquist rate.
  5. Apply engineering design practice in a laboratory setting, individually or in a small team, and communicate the results effectively.

Indicative Assessment

  1. Assignments (12) [LO 1,2,3]
  2. Labs (18) [LO 1,2,3,4,5]
  3. Mid-Semester exam (20) [LO 1,2,3]
  4. Final Exam (50) [LO 1,2,3,4]

In response to COVID-19: Please note that Semester 2 Class Summary information (available under the classes tab) is as up to date as possible. Changes to Class Summaries not captured by this publication will be available to enrolled students via Wattle. 

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A standard workload of approximately 10 hours/week including the following formal contact hours: 33 - 36 hours of lectures, 5 x 1 hour tutorials, 6 x 3 hour hardware/computer laboratories

Inherent Requirements

Not applicable

Requisite and Incompatibility

To enrol in this course you must have completed MATH1013 or MATH1014.

Prescribed Texts

Signals & Systems by Alan V. Oppenheim, Alan S. Willsky, with S. Hamid Nawab.

Assumed Knowledge

Calculus - Integration and techniques of integration. Differentiation and techniques of differentiation. Differential equations.

Linear Algebra - theory and application of Euclidean vector spaces. Vector spaces: linear independence, bases and dimension; eigenvalues and eigenvectors; orthogonality.


Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

6.00 0.12500
Domestic fee paying students
Year Fee
2020 $4320
International fee paying students
Year Fee
2020 $5760
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
7276 27 Jul 2020 03 Aug 2020 31 Aug 2020 30 Oct 2020 In Person N/A

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