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During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

CHNG5603: Advanced Industrial Modelling and Analysis

This course will give students an insight into the use of (computer-based) statistical techniques in extracting information from experimental data obtained from real life bio-physical systems. The issues and techniques required for mathematical modeling as well as monitoring and/or control scheme for bio-physical systems will be discussed and implemented in diverse range of bioprocesses, including biomaterials and fermentation products. We will review statistical distribution; tests based on z, t, F variables; calculation of confidence intervals; hypothesis testing; linear and nonlinear regression; analysis of variance; principal component analysis; and use of computer-based statistical tools. The issues associated with dynamic response of bio-physical processes; inferred or estimated variables; control system design and implementation; introduction to model-based control; use of computer-based control system design and analysis tools will be elaborated. When this course is successfully completed you will acquire knowledge to choose the appropriate statistical techniques within a computer based environment, such as Excel or MATLAB, for a given situation. The students will also obtain potential for monitoring/control scheme based on the key dynamic features of the process. Such information would be beneficial for any future career in Bio-manufacturing companies. Students are encouraged to promote an interactive environment for exchange of information.

Code CHNG5603
Academic unit Chemical and Biomolecular Engineering
Credit points 6
Assumed knowledge:
It is assumed that students have a general knowledge of mathematics typical of an undergraduate degree in chemical engineering, equivalent to MATH1021 AND MATH1023 AND (CHNG2802 OR MATH2XXX). This unit is for postgraduate students and also is offered as an elective for fourth year undergraduate students.

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 the relevant session.