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This subject develops a fundamental understanding of the concepts behind and tools used for the analysis and design of analog and digital electronic systems. This is one of four subjects that define the Mechatronics Systems major in the Bachelor of Science and it is a core requirement of the Master of Engineering (Mechatronics).
Analog systems - time-domain differential equation models of RLC networks, initial conditions, transient response, transfer functions, frequency response, passive filters, impedance functions, two-port networks and dependent sources and matrix circuit representations, op-amp models.
Digital systems – encoding information and digital data processing, CMOS realisation of basic logic gates, timing contracts, acyclic networks, switching algebra, combinational logic synthesis, cyclic networks and memory, finite-state machines, metastability, synchronous timing and synchronisation, data-processing paths, control logic and stored-program machines.
Aspects of these topics will be explored through laboratory work involving simulation tools and hardware experiments.
Intended learning outcomes
On completing this subject it is expected that the student be able to:
- Model and analyse the linear time-invariant behaviour of electrical and electronic systems, in both the time and frequency domain
- Design, construct and test passive and active electrical networks that achieve specified linear time-invariant behaviour
- Use software tools to simulate the behaviour of linear electrical networks
- Apply fundamental concepts and tools in the analysis and design of combinational and sequential logic systems, with an appreciation for the role and limitations of important digital abstractions
- Configure and test digital hardware development platforms in the laboratory
On completion of this subject, students should have developed the following skills:
- The ability to apply knowledge of science and engineering fundamentals;
- The ability to undertake problem identification, formulation, and solution;
- The ability to utilise a systems approach to complex problems and to design and operational performance;
- Capacity for independent critical thought, rational inquiry and self-directed learning.
Last updated: 24 January 2023