• Offered by School of Engineering
  • ANU College ANU College of Engineering Computing & Cybernetics
  • Course subject Engineering
  • Areas of interest Engineering
  • Academic career UGRD
  • Mode of delivery In Person
  • Offered in Second Semester 2025
    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.

Other Information

Professional Skills Mapping:

Mapping of Learning Outcomes to Assessment and Professional Competencies

Indicative Assessment

  1. Assignments (16) [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 (46) [LO 1,2,3,4]

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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

Information on inherent requirements for this course is currently not available.

Requisite and Incompatibility

To enrol in this course you must have successfully completed MATH1013 or MATH1014 or MATH1115 or MATH1116.

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.  

Commonwealth Support (CSP) Students
If you 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). More information about your student contribution amount for each course at Fees

Student Contribution Band:
Unit value:
6 units

If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Where there is a unit range displayed for this course, not all unit options below may be available.

6.00 0.12500
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
7128 21 Jul 2025 28 Jul 2025 31 Aug 2025 24 Oct 2025 In Person N/A

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