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Module Specifications.

Current Academic Year 2024 - 2025

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Date posted: September 2024

Module Title Process Design & Analysis
Module Code PVS204 (ITS) / PHY1087 (Banner)
Faculty Science & Health School Physical Sciences
Module Co-ordinator-
Module Teachers-
NFQ level 8 Credit Rating 5
Pre-requisite Not Available
Co-requisite Not Available
Compatibles Not Available
Incompatibles Not Available
None
Array
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 Assessment0% Examination Weight0%
Course Work Breakdown
TypeDescription% of totalAssessment Date
Loop 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
Loop 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 ExaminationOnline discussion forum16%Every Week
In Class TestWritten test involving essay and calcuation type problems based on all course material.50%Week 8
Reassessment Requirement Type
Resit arrangements are explained by the following categories:
Resit category 1: A resit is available for both* components of the module.
Resit category 2: No resit is available for a 100% continuous assessment module.
Resit category 3: No resit is available for the continuous assessment component where there is a continuous assessment and examination element.
* ‘Both’ is used in the context of the module having a Continuous Assessment/Examination split; where the module is 100% continuous assessment, there will also be a resit of the assessment
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