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Unit (2020)

Information on this page, including unit offerings, is from the 2020 academic year.

Discrete Time Systems (ENG294)

Organisational Unit Engineering and Energy
Credit Points 3
Availability MURDOCH: S2-internal
Teaching Timetables Murdoch S2
Description This unit provides the foundations in discrete time systems with one of the major outcomes being the understanding and implementation of a computer-based control system. The unit includes a number of integrated and interwoven threads: fundamentals of control systems; analogue and digital I/O; sampled data systems, discrete time tools, dynamic analysis, digital filters, feedback control, digital controllers, discrete Fourier transforms. Simulink, Matlab and LabVIEW are used extensively in problem solving, simulations, analysis and to perform computer based measurement and control.
Unit Learning Outcomes At the completion of this unit, you should have a working knowledge of the following areas:
1. Purpose of a process control system, along with the major components and inter-relationships
2. Mathematical and computer based (Simulink, MATLAB & LabVIEW) simulation tools for analysis of dynamic systems
3. Computer based measurement and control (via LabVIEW)
4. Real-time simulation
5. Process models of discrete time systems
6. Discrete time dynamic systems
7. Statistics, noise and uncertainty
8. Filtering
9. Computer Based Discrete Time Control Systems
Timetabled Learning Activities Lectures: 1 x 2 hours per week; computer workshop: 1 x 2 hours per week; laboratories: 1 x 2 hours per week.
*Summer offering only: Lectures: 2 x 2 hours per week; computer workshop: 2 x 2 hours per week; laboratories: 2 x 2 hours per week.
Unit Learning Experiences The approach to learning in this unit is three fold. Lectures provide the overview and theoretical underpinnings. The computer workshops provide the background and experience in using the computer based simulation and analysis tools. The laboratories are concerned with computer based measurement and control, providing practical exposure to and experience with physical systems. Analytical, simulation and practical problem solving skills are both emphasized and developed in the 'studio style' of teaching, which is used in both the computer workshops and laboratories, where by students are encouraged to talk and help each other.
Assessment Broadly the learning outcomes for this unit are concerned with the development of problem solving skills (analysis, simulation and practical) and knowledge of the operation, structure and components of computer based measurement and control systems. This is achieved through the following formal assessment structures:
20% Computer and Laboratory Workshops - Exposure and competency in the understanding, operation and problem solving of computer based measurement and control;
10% Assignments - Analysis and Simulation Problem solving skills developed and established;
35% Tests - Practical Assessment of the Computer Based Analysis and Simulation Skills;
35% Exam - Written Assessment of the knowledge and non-computer based problem solving skills.
Prerequisites PEC152/PEN152 Principles of Physics; MAS161 Calculus and Matrix Algebra or co-requisite MAS208 Mathematical Modelling; ENG109 Computing for Scientists and Engineers; ENG192 Energy, Mass and Flow; ENG297 Circuit and Systems II or co-requisite ENG207 Principles of Electronics Instrumentation.
Recommended co-requisite: ENG299 Control Systems and Process Dynamics.
Appears in these Courses/Majors:
see individual structures for context
Bachelor of Engineering Technology (BEngTech)
Electrical Power Engineering
Industrial Computer Systems Engineering
Instrumentation and Control Engineering
Renewable Energy Engineering
Electrical Power Engineering Honours (BE(Hons)) (BE(Hons))
Industrial Computer Systems Engineering Honours (BE(Hons)) (BE(Hons))
Instrumentation and Control Engineering Honours (BE(Hons)) (BE(Hons))
Renewable Energy Engineering Honours (BE(Hons)) (BE(Hons))
Internet Access RequirementsMurdoch units normally include an online component comprising materials, discussions, lecture recordings and assessment activities. All students, regardless of their location or mode of study, need to have access to and be able to use computing devices with browsing capability and a connection to the Internet via Broadband (Cable, ADSL or Mobile) or Wireless. The Internet connection should be readily available and allow large amounts of data to be streamed or downloaded (approximately 100MB per lecture recording). Students also need to be able to enter into online discussions and submit assignments online.


Unit Coordinator
Dr Linh Vu
Senior Lecturer

Murdoch Campus
t: 9360 1446
e: Linh.Vu@murdoch.edu.au
o: 220.2.003C - Building 220, Murdoch Campus
Unit Contacts

MURDOCH: S2-Internal
Dr Linh Vu
Senior Lecturer

Murdoch Campus
t: 9360 1446
e: Linh.Vu@murdoch.edu.au
o: 220.2.003C - Building 220, Murdoch Campus
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