Handbook 1996 : Faculty of Engineering (Volume 4 page 113)
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Credit points: 7.1
Coordinator: Assoc. Prof. E. Hoffmann
Prerequisite: 436-241 Engineering Economics and Statistical Analysis
Contact: 21 hours of lectures and 18 hours of tutorial and practical work
Timetable: Second semester
Objectives:
On completion, students will be able to apply techniques of regression and analysis of variance to practical engineering problems, to design and analyse experiments and will have acquired the basic knowledge necessary to determine optimum operating conditions.
Content:
Experimental design: experimental error, reliability. Sampling and testing methods: randomised block, Latin square, factorial, 2k and fractional designs, response surface methodology designs. Design problems associated with human involvement. Data analysis methods: single and multiple factor regression, identification of outliers, residuals, regression with variance on both variables; analysis of variance, single factor and factorial designs, random factors, nesting, interpretation of interaction. Post-hoc testing. Power analysis. Use of Minitab for solution of problems.
Assessment:
Two assignments on regression and analysis of variance.
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Handbook 1996 : Faculty of Engineering (Volume 4 page 113)
Status: Official 1996 Date created: Oct 9 1995 Last modified: Oct 9 1995 Authorised by: Academic Registrar Email enquiries: Course_Information@registrar.unimelb.edu.au
Maintained by: Dept. of Mechanical and Manufacturing Engineering, Faculty of Engineering.
Copyright © University of Melbourne 1995,1996.