Undergraduate Course: Design and Manufacturability; Digital Systems Lab 3 (ELEE09031)
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 | 20 |
ECTS Credits | 10 |
| Summary | The lecture based part of the course introduces a structured and quantitative approach to electronic product design for manufacture (DFM); the link between design & manufacture; statistical process control (SPC); and design & analysis of experiments (DOE).
The purpose of this lab course is to produce students who are capable of developing synchronous digital circuits from high level functional specifications and prototyping them on FPGA hardware using a standard hardware description language (HDL).
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| Course description |
DAM Lectures: DFM/6-sigma
Introduction
Why design for manufacture?
Models of the manufacturing process
Defects and Yield
Testing
Reliability and cost
Space Tower group exercise
Solar Tower group exercise
DAM Lectures - SPC/DOE
History, context and background
Control charts
Permutations & combinations
Probability (including Bayes)
Design of experiments
Factorial design
Regression and correlation
Fractional
Factorial
Taguchi Methods
DS Labs
Lab 1 - Week 2: "HelloWorld" and "HelloLotsofWorlds" modules
Lab 2 - Week 3: "HelloSynchronousWorld" and "ShiftingTheWorld" modules
Lab 3 - Week 4: "ShiftingManyWorlds" and "CountingTheWorld" modules
Lab 4 - Week 5: "TimingTheWorld" module and assessment
Lab 5 - Week 6: "TimingTheWorldInDecimalNow" and "DecodingTheWorld" modules
Lab 6 - Week 7: "ColouringTheWorld " module and assessment
Lab 7 - Week 8: "TheWorldofStateMachines" module
Lab 8 - Week 9: "TheWorldofLinkedStateMachine" module an assessment
Lab 9 - Week 10: "Snake Game" module
Lab 10 - Week 11: "Snake Game" module and assessment
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Information for Visiting Students
| Pre-requisites | Knowledge of basic analogue and digital circuit theory. |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2017/18, Available to all students (SV1)
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Quota: None |
| Course Start |
Semester 1 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 18,
Seminar/Tutorial Hours 4,
Feedback/Feedforward Hours 22,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
152 )
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| Assessment (Further Info) |
Written Exam
50 %,
Coursework
50 %,
Practical Exam
0 %
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| Additional Information (Assessment) |
Written Exam: 50%«br /»
Practical Exam: 0%«br /»
Coursework: 50% |
| Feedback |
Not entered |
| Exam Information |
| Exam Diet |
Paper Name |
Hours & Minutes |
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| Main Exam Diet S1 (December) | | 1:30 | | | Resit Exam Diet (August) | | 1:30 | |
Learning Outcomes
On completion of this course, the student will be able to:
- Understanding and ability to articulate the concept of quality in the design and manufacture of products, the effect of defects created in the manufacturing process, quantitative methods of measuring and minimizing defects.
- Knowledge of the fundamentals of Statistical Process Control (SPC) and Design of Experiments (DoE).
- Master a hardware description language Verilog;
- Implement digital circuit concepts on a practical FPGA board.
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Reading List
Statistics for Engineering and the Sciences, Sixth Edition William M. Mendenhall, Terry L. Sincich (CRC Press)
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)
Digital Design, An Embedded Systems Approach Using Verilog, Peter J Ashenden, Morgan Kaufmann, 2007, ISBN-13: 978-0123695277
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Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Design for Manufacture,6-sigma,design of experiments,statistical process control,Bayes Theorem |
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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