3 0 false ENGN8101 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. 1 false 11474 Assignments (20%); Lab Reports (30%); Exam (50%) 1 1 Having successfully completed this course, students should be able to:<br /><ul><li>Understand and be able to apply optimization approach in design systems.</li><li>Understand and be able to apply statistics to engineering system design.</li><li>Understand the importance of quality control&nbsp; system management.</li><li>Understand statictical process control using control charts.</li><li>Understand linear programming and nonlinear optimizations.</li><li>Explain basic ideas of hypothesis testing and drawing conclusion on process quality</li><li>Understand experimental design and Taguchi method and be able to apply it in engineering design</li></ul> 0 Modelling and Optimisation 6 6 Belegundu, A.D. &amp; Chandrupatla, T.R. <em>Optimization concepts and applications in engineering, </em>Prentice Hall, 1999.<br />Mitra A., <em>Fundamentals of quality control and improvement</em>, Wiley, Third edition, 2008 6 Modelling and Optimisation Band 2 Engineering 2010