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Module Specifications

Current Academic Year 2012 - 2013
Please note that this information is subject to change.

Module Title
Module Code
School
Online Module Resources

Module TeacherJim Conway
NFQ level 8 Credit Rating
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
Description
The purpose of this module is to provide participants with a broad introduction to the fundamental concepts of experimental design and analysis. In this module students will develop knowledge and skills relating to statistical analysis, Taguchi design and various other design approaches, process analysis methodologies, and process control systems used in modern industrial processes.Students are expected to access all course material online, participate in online discussion groups where they can discuss the course material and set problems relating to the course material, and participate in various learning activities and continuous assessment tasks on a regular basis.

Learning Outcomes
1. Describe various basic statistical tests of population and sample data.
2. Explain the Taguchi approach to quality and robust design in manufacturing .
3. Outline various design of experiment approaches used in industry.
4. Discuss industrial control systems.
5. Recognise the various Statistical process control tools used in manufacturing.
6. Perform numerical calculations of relevent quantities.
7. Relate the material covered to methods used in manufacturing and other industries.
8. Communicate the material covered and its applications to their colleagues.



Workload Full-time hours per semester
Type Hours Description
Total Workload: 0

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities
Indicative syllabus.
Basic Statistics. Normal distribution. t-test. F-Test. Quality. Taquchi Method. Design Matrices. Experimental design and analysis. Process control. Statistical Process Control..

Assessment Breakdown
Continuous Assessment% Examination Weight%
Course Work Breakdown
TypeDescription% of totalAssessment Date
Computerised test/examOnline quiz based in multichoice, matching, short answers and numerical calculation problems.8%Week 3
EssayAssignment consisting of definition, essay and numerical problems solving.8%Week 4
Computerised test/examOnline quiz based in multichoice, matching, short answers and numerical calculation problems.9%Week 6
EssayAssignment consisting of definition, essay and numerical problems solving.9%Week 6
Oral presentationsOnline discussion forum16%Every Week
Non-DCU examWritten test involving essay and calcuation type problems based on all course material.50%Week 8
Reassessment Requirement
Resit arrangements are explained by the following categories;
1 = A resit is available for all components of the module
2 = No resit is available for 100% continuous assessment module
3 = No resit is available for the continuous assessment component
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