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We are aiming for an incremental return to campus in accordance with guidelines provided by NSW Health and the Australian Government. Until this time, learning activities and assessments will be planned and scheduled for online delivery where possible, and unit-specific details about face-to-face teaching will be provided on Canvas as the opportunities for face-to-face learning become clear.

We are currently working to resolve an issue where some unit outline links are unavailable. If the link to your unit outline does not appear below, please use the link in your Canvas site. If no link is available on your Canvas site, please contact your unit coordinator.

Unit of study_

CHNG5603: Advanced Process Modelling and Simulation

The chemical manufacturing industry is currently witnessing the fourth industrial revolution, better known as Industry 4.0, where the 'real' and the 'virtual' world are connected, giving rise to smart factories. This unit of study prepares students for the digital transformation of chemical factories and the analysis of a large set of numbers from the machines and to turn them into a competitive advantage. The unit comprises three main components: (1) Manufacturing using smart systems (2) Industrial internet of things, and (3) processing big-data through sophisticated data-driven approaches. Various materials and techniques within the discipline of cyber-physical production systems are covered. For example, the industrial internet of things (IoT), communications, interfaces, machine learning, neural network, and deep learning. Students will also learn how to transfer real-time data from a unit operation to a system of software and hardware elements and understand the basics of security of open communications in order to ensure the safe operations of a smart factory.

Code CHNG5603
Academic unit Chemical and Biomolecular Engineering
Credit points 6
Assumed knowledge:
It is assumed that students have a general knowledge of: (MATH1001 OR MATH1021) AND (MATH1003 OR MATH1023) AND (CHNG2802 OR MATH2XXX)

At the completion of this unit, you should be able to:

  • LO1. Employ smart devices, technologies, and data acquisition systems to capture data from chemical engineering units
  • LO2. Demonstrate the use of big data in smart factory applications
  • LO3. Apply advanced analytical methods and modelling techniques to analyse real-time information from production processes

Unit outlines

Unit outlines will be available 2 weeks before the first day of teaching for 1000-level and 5000-level units, or one week before the first day of teaching for all other units.

There are no unit outlines available online for previous years.