Undergraduate Course: Engineering Design Analysis & Manufacturability 3 (ELEE09022)
|School||School of Engineering
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 9 (Year 3 Undergraduate)
||Availability||Available to all students
|Summary||Introduction to a quantitative approach in:
electronic product design
the link between design & manufacture
design & analysis of experiments
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
|Additional Costs|| None
Information for Visiting Students
|Pre-requisites||Basic knowledge of introductory statistics
|High Demand Course?
Course Delivery Information
|Academic year 2015/16, Available to all students (SV1)
|Course Start Date
|Learning and Teaching activities (Further Info)
Lecture Hours 22,
Seminar/Tutorial Hours 20,
Formative Assessment Hours 1,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Hours & Minutes
|Main Exam Diet S1 (December)||2:00|
| 1. Understand the importance of the link between design and manufacture.
2. Appreciate of the impact of defects on quality, time scale and cost of production.
3. Understand the strategies for minimising defects.
4. The ability to construct process control charts and understand their statistical basis.
5. Understand the purpose, nature and advantages of factorial designed experiments.
6. Appreciate the concept of the Taguchi quality loss function and its application to quality improvement.
|Introduction to Statistical Quality Control, D C Montgomery (John Wiley) |
Design and Analysis of Experiments, D C Montgomery (John Wiley)
Statistical Process Control and Quality Improvement, G M Smith (Prentice-Hall)
Statistical Quality Control, E L Grant & R S Levenworth (McGraw-Hill)
Quality Donna, C S Summers (Prentice-Hall)
Statistical Methods for Quality, I Miller & M Miller (Prentice-Hall)
|Graduate Attributes and Skills
||Requires a classroom that can be reconfigured between lecture style and interactive groups of 5 to 10 students
|Keywords||Design,analysis,manufacturability,Taguchi,"Design of Experiments",Bayes
|Course organiser||Prof Ian Underwood
Tel: (0131 6)50 5631 / 7474
|Course secretary||Mrs Lynn Hughieson
Tel: (0131 6)50 5687
© Copyright 2015 The University of Edinburgh - 18 January 2016 3:58 am