School of Engineering · ANU College of Systems and Society
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.
Assignments
Learning outcomes 1, 2, 3
Labs
Learning outcomes 1, 2, 3, 4, 5
Mid-Semester exam
Learning outcomes 1, 2, 3
Final Exam
Learning outcomes 1, 2, 3, 4
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 Other Information Professional Skills Mapping: Mapping of Learning Outcomes to Assessment and Professional Competencies
Signals & Systems by Alan V. Oppenheim, Alan S. Willsky, with S. Hamid Nawab.