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ELE4506 Industrial Process Automation

Semester 1, 2022 Online
Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Engineering
Student contribution band : Band 2
Grading basis : Graded
Version produced : 30 June 2022


Examiner: Catherine Hills


Pre-requisite: (ELE2101 or ELE2103) and ELE3105 and MEC2501 or Students must be enrolled in the following program: MENS or MEPR


This course aims to consolidate the knowledge and skills acquired in earlier courses and demonstrates their application to industrial processes. In doing so it will help reinforce the solid foundation the students require to identify processes and design control systems and HMIs and evaluate the safety and reliability of process control systems.

This is the capstone course in the Instrumentation Control and Automation major. Students will identify, quantify and model subsystems within standard industrial processes. They will gain an appreciation of the safety and reliability aspects of system design.

Course learning outcomes

On successful completion of this course students should be able to:

  1. Select and apply suitable signal conditioning techniques in an industrial system
  2. Demonstrate an awareness of the importance of applying the relevant standards and safety lifecycles to process control systems, and be able to apply simple analysis tools.
  3. Develop mathematical models for simulation of industrial systems
  4. Implement and evaluate practical loop control systems
  5. Identify and apply key principles of operator interface and SCADA system design
  6. Communicate technical information in a professional manner.


Description Weighting(%)
1. Sensor and actuator control signal conditioning 15.00
2. Safety and Reliability Considerations 20.00
3. Industrial Process Dynamics 25.00
4. Practical System Loop Tuning 20.00
5. Principles of Operator Interface System Design 20.00

Text and materials required to be purchased or accessed

King, Myke 2016, Process Control: A Practical Approach, 2nd edn, Wiley, Hoboken NJ.

Student workload expectations

To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.

Assessment details

Approach Type Description Group
Weighting (%) Course learning outcomes
Assignments Design Design 1 No 30 3,4,6
Assignments Design Design 2 No 30 1,3,4,6
Assignments Design Design 3 No 30 2,5,6
Assignments Oral Presentation (ind, grp, mltmd) No 10 2,5,6
Date printed 30 June 2022