ENGN8101 Modelling and Optimisation

ENGN8101 is only available under certain award programs.

Offered By	Research School of Engineering
Academic Career	Graduate Coursework
Course Subject	Engineering
Offered in	ENGN8101 will not be offered in 2012
Unit Value	6 units
Course Description	This course provides students with the tools they need to model and optimise engineering systems. Topics include: Design of Experiments methodology, Parametric Design principles, Taguchi methods in Technology and Product Development, Effects of variation on system behaviour, linear and non-linear optimization methods with constraints.
Learning Outcomes	Having successfully completed this course, students should be able to: Understand and be able to apply optimization approach in design systems. Understand and be able to apply statistics to engineering system design. Understand the importance of quality control system management. Understand statistical process control using control charts. Understand linear programming and nonlinear optimizations. Explain basic ideas of hypothesis testing and drawing conclusion on process quality Understand experimental design and Taguchi method and be able to apply it in engineering design
Indicative Assessment	Assignments (20%); Lab Reports (30%); Exam (50%)
Course Classification(s)	AdvancedAdvanced courses are designed for students having reached 'first degree' level of assumed knowledge, which provide a deep understanding of contemporary issues; or 'second degree' and higher levels of knowledge; or for transition to research training programs.
Areas of Interest	Engineering
Prescribed Texts	Belegundu, A.D. & Chandrupatla, T.R. Optimization concepts and applications in engineering, Prentice Hall, 1999. Mitra A., Fundamentals of quality control and improvement, Wiley, Third edition, 2008

The information published on the Study at ANU 2012 website applies to the 2012 academic year only. All information provided on this website replaces the information contained in the Study at ANU 2011 website.