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DRPS : Course Catalogue : School of Engineering : Electronics

Undergraduate Course: Design and Manufacturability; Digital Systems Lab 3 (ELEE09031)

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 Credits20 ECTS Credits10
SummaryThe 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).

Course description DAM Lectures
Why design for manufacture?
Models of the manufacturing process
Defects and Yield
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
DS Labs
Lab 1 - Week 1: "HelloWorld" and "HelloLotsofWorlds" modules
Lab 2 - Week 2: "HelloSynchronousWorld" and "ShiftingTheWorld" modules
Lab 3 - Week 3: "ShiftingManyWorlds" and "CountingTheWorld" modules
Lab 4 - Week 4: "TimingTheWorld" module and assessment
Lab 5 - Week 5: "TimingTheWorldInDecimalNow" and "DecodingTheWorld" modules
Lab 6 - Week 6: "ColouringTheWorld " module
Lab 7 - Week 7: "TheWorldofStateMachines" module
Lab 8 - Week 8: "TheWorldofLinkedStateMachine" module an assessment
Lab 9 - Week 9: "Snake Game" module
Lab 10 - Week 10: "Snake Game" module and assessment
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Students MUST have passed: Analogue Circuits 2 (ELEE08016) AND Digital System Design 2 (ELEE08015)
Prohibited Combinations Students MUST NOT also be taking ( Engineering Design Analysis & Manufacturability 3 (ELEE09022) AND Digital Systems Laboratory 3 (ELEE09018)) AND
Other requirements None
Information for Visiting Students
Pre-requisitesKnowledge of basic analogue and digital circuit theory.
High Demand Course? Yes
Course Delivery Information
Academic year 2018/19, Available to all students (SV1) 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 )
Assessment (Further Info) Written Exam 50 %, Coursework 50 %, Practical Exam 0 %
Additional Information (Assessment) Written Exam: 50%
Practical Exam: 0%
Coursework: 50%
Feedback Not entered
Exam Information
Exam Diet Paper Name Hours & Minutes
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:
  1. 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.
  2. Knowledge of the fundamentals of Statistical Process Control (SPC) and Design of Experiments (DoE).
  3. Master a hardware description language Verilog;
  4. Implement digital circuit concepts on a practical FPGA board.
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
Additional Information
Graduate Attributes and Skills Not entered
KeywordsDesign for Manufacture,6-sigma,design of experiments,statistical process control,Bayes Theorem
Course organiserProf Ian Underwood
Tel: (0131 6)50 5631 / 7474
Course secretaryMrs Laura Robinson
Tel: (0131 6)50 5053
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