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Unit of study_

CHNG9202: Chemical Engineering Modelling and Analysis

Virtually every aspect of a chemical engineer's professional life will involve some use of mathematical techniques. Not only is the modern chemical engineer expected to be proficient in the use of these techniques, they are also expected to be able to utilise computer-based solutions when analytical solutions are unfeasible. This unit of study aims to expose students to an appropriate suite of techniques and enable them to become proficient in the use of mathematics as a tool for the solution of a diversity of chemical engineering problems. Specifically, 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 knowledge by extending skills in statistical analysis and Chemical Engineering computations. This unit will also enable the development of a systematic approach to solving mathematically oriented Chemical Engineering problems, which will help with making sound engineering decisions. In addition, there will be considerable time spent during the semester on advanced topics related to mathematical analysis techniques in engineering and recent associated developments.

Code CHNG9202
Academic unit Chemical and Biomolecular Engineering
Credit points 6
CHNG2802 OR CHNG5702
Assumed knowledge:
Enrolment in this unit of study assumes that first year undergraduate core maths, science and engineering UoS (or their equivalent) have been successfully completed

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

  • LO1. effectively communicate both technical and non-technical material in written, electronic, graphics, and spoken forms
  • 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. fit polynomials to experimental data
  • LO6. use numerical procedures to solve typical engineering equations with multiple variables
  • LO7. write computer codes in Matlab to numerically integrate and differentiate data obtained from experimental observations.