- Code ENGN2228
- Unit Value 6 units
- 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
- Dr Xiangyun Zhou
- Mode of delivery In Person
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.
Upon successful completion, students will have the knowledge and skills to:On successful completion of this course, students should have the skills and knowledge to:
- Demonstrate understanding of continuoustime and discrete-time signals and systems and analyse their properties such as causality, linearity, time invariance and stability.
- 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.
- 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.
- Explain the concept of sampling, the Sampling Theorem, aliasing and the Nyquist rate.
- Apply engineering design practice in a laboratory setting, individually or in a small team, and communicate the results effectively.
Professional Skills Mapping:
Mapping of Learning Outcomes to Assessment and Professional Competencies
- Assignments (12%);
- Labs (18%),
- Mid-Semester exam (20%);
- Final Exam (50%)
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WorkloadA standard workload of approximately 10 hours/week including the following formal contact hours: 30-36 one hour lectures, 3 x 3hr hardware laboratories, 3x 3hr computer laboratories
Requisite and Incompatibility
Prescribed TextsSignals & Systems by Alan V. Oppenheim, Alan S. Willsky, with S. Hamid Nawab.
Assumed KnowledgeCalculus - Integration and techniques of integration. Functions of several variables - visualisation, continuity, partial derivatives and directional derivatives.
Linear Algebra - theory and application of Euclidean vector spaces. Vector spaces: linear independence, bases and dimension; eigenvalues and eigenvectors; orthogonality and least squares.
Tuition fees are for the academic year indicated at the top of the page.
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- 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.
Offerings, Dates and Class Summary Links
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|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|