THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2015/2016

University Homepage
DRPS Homepage
DRPS Search
DRPS Contact
DRPS : Course Catalogue : School of Engineering : Electronics

Undergraduate Course: Engineering Design Analysis & Manufacturability 3 (ELEE09022)

Course Outline
SchoolSchool of Engineering CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 9 (Year 3 Undergraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryIntroduction 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-requisitesBasic 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
KeywordsDesign,analysis,manufacturability,Taguchi,"Design of Experiments",Bayes
Contacts
Course organiserProf Ian Underwood
Tel: (0131 6)50 5631 / 7474
Email: Ian.Underwood@ed.ac.uk
Course secretaryMrs Lynn Hughieson
Tel: (0131 6)50 5687
Email: eto@eng.ed.ac.uk
Navigation
Help & Information
Home
Introduction
Glossary
Search DPTs and Courses
Regulations
Regulations
Degree Programmes
Introduction
Browse DPTs
Courses
Introduction
Humanities and Social Science
Science and Engineering
Medicine and Veterinary Medicine
Other Information
Combined Course Timetable
Prospectuses
Important Information
 
© Copyright 2015 The University of Edinburgh - 18 January 2016 3:58 am