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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_

CHNG2802: Chemical Engineering Modelling and Analysis

This unit consists of two core modules: MODULE A: Applied Statistics for Chemical Engineers and MODULE B: Applied Numerical Methods for Chemical Engineers. These modules aim at furthering your education by extending your skills in statistical analysis and Chemical Engineering computations. This unit will also enable you to develop a systematic approach to solving mathematically oriented Chemical Engineering problems, helping you to make sound engineering decisions. The modules will provide sufficient theoretical knowledge and computational training to progress in subsequent engineering analyses including Process Dynamics and Control and Chemical Engineering Design. This unit will provide students with the tools and know-how to tackle real-life multi-disciplinary chemical engineering problems.

Code CHNG2802
Academic unit Chemical and Biomolecular Engineering
Credit points 6
(MATH1001 OR MATH1021 OR MATH1901 OR MATH1921) AND (MATH1002 OR MATH1902) AND (MATH1003 OR MATH1023 OR MATH1903 OR MATH1923) AND (MATH1005 OR MATH1015 OR MATH1905 OR BUSS1020) AND CHNG1103
Assumed knowledge:
Calculus, linear algebra, descriptive statistics.

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

  • LO1. effectively develop an engineering project in a group and communicate the ideas clearly and coherently both verbally and in writing to peers, the engineering profession and the wider community
  • LO2. propose experimental and computational approaches to bring together and apply knowledge to numerically characterise, analyse and solve a wide range of engineering problems
  • LO3. use the standard techniques of statistical design of experiments to evaluate the effect of input variables in the response of chemical engineering processes
  • LO4. apply computational methods to get insights into steady and non-steady conditions of Chemical Engineering processes
  • LO5. use numerical procedures to solve typical engineering equations with multiple variables
  • LO6. write computer codes in Matlab to numerically solve dynamic state conditions usually observed in experimental observations.