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
Information for Visiting Students
|Pre-requisites||Basic knowledge of introductory statistics
|High Demand Course?
Course Delivery Information
|Academic year 2018/19, Available to all students (SV1)
|Course Start Date
|Learning and Teaching activities (Further Info)
Lecture Hours 22,
Seminar/Tutorial Hours 18,
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)||1:30|
|Resit Exam Diet (August)||1:30|
On completion of this course, the student will be able to:
- Understanding and ability to articulate the concept of quality in the design manufacture of products.
- Appreciation of the detrimental effect of defects created in the manufacturing process.
- Familiarity with and ability to implement quantitative methods of measuring and minimizing defects.
- Knowledge of the fundamentals of Statistical Process Control (SPC).
- Knowledge of the fundamentals of Design of Experiments (DoE).
|Statistics for Engineering and the Sciences, Sixth Edition, by William M. Mendenhall|
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 Laura Robinson
Tel: (0131 6)50 5053