Undergraduate Course: Engineering Design Analysis & Manufacturability 3 (ELEE09022)
Course Outline
| 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 |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | Introduction to a quantitative approach in:
electronic product design
product manufacture
the link between design & manufacture
design & analysis of experiments |
| Course description |
Not entered
|
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 |
| High Demand Course? |
Yes |
Course Delivery Information
|
| Academic year 2015/16, Available to all students (SV1)
|
Quota: None |
| Course Start |
Semester 1 |
| Course Start Date |
21/09/2015 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
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
53 )
|
| Assessment (Further Info) |
Written Exam
100 %,
Coursework
0 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
100% examination |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
|
| Main Exam Diet S1 (December) | | 2:00 | |
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.
|
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) |
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Special Arrangements |
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 |
Contacts
| Course organiser | Prof Ian Underwood
Tel: (0131 6)50 5631 / 7474
Email: |
Course secretary | Mrs Lynn Hughieson
Tel: (0131 6)50 5687
Email: |
|
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|
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