Undergraduate Course: Engineering Design Analysis & Manufacturability 3 (ELEE09022)
Course Outline
| School | School of Engineering |
College | College of Science and Engineering |
| Course type | Standard |
Availability | Available to all students |
| Credit level (Normal year taken) | SCQF Level 9 (Year 3 Undergraduate) |
Credits | 10 |
| Home subject area | Electronics |
Other subject area | None |
| Course website |
None |
Taught in Gaelic? | No |
| Course description | Introduction to a quantitative approach in:
electronic product design
product manufacture
the link between design & manufacture
design & analysis of experiments |
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
| Additional Costs | None |
Information for Visiting Students
| Pre-requisites | Basic knowledge of introductory statistics |
| Displayed in Visiting Students Prospectus? | No |
Course Delivery Information
|
| Delivery period: 2014/15 Semester 1, Available to all students (SV1)
|
Learn enabled: Yes |
Quota: None |
|
Web Timetable |
Web Timetable |
| Course Start Date |
15/09/2014 |
| Breakdown of Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Lecture Hours 22,
Seminar/Tutorial Hours 20,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
54 )
|
| Additional Notes |
|
| Breakdown of Assessment Methods (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
|
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S1 (December) | | 2:00 | |
Summary of Intended Learning Outcomes
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. |
Assessment Information
| 100% examination |
Special Arrangements
| Requires a classroom that can be reconfigured between lecture style and interactive groups of 5 to 10 students |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
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) |
| Study Abroad |
Not entered |
| Study Pattern |
Weeks 1 to 11 - 2 lecture, 1 examples class or tutorial
|
| Keywords | Design, analysis, manufacturability, Taguchi, "Design of Experiments", Bayes |
Contacts
| Course organiser | Prof Ian Underwood
Tel: (0131 6)50 5631 / 7474
Email: Ian.Underwood@ed.ac.uk |
Course secretary | Mrs Lynn Hughieson
Tel: (0131 6)50 5687
Email: Lynn.Hughieson@ed.ac.uk |
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