Module: Engineering Project Management

Latest Module Specifications

Current Academic Year 2025 - 2026

Module Title	Engineering Project Management
Module Code	MEC1016 (ITS: mm309)
Faculty	Engineering & Computing	School	Mechanical & Manufacturing Eng
NFQ level	8	Credit Rating	5

Description

- To prepare the student to deal with operational matters relating to an engineering project by teaching them techniques used to assist in such work. An appreciation of the benefits, difficulties and limitations associated with such techniques will be fostered. - To give the student a broad understanding and appreciation of the quality assurance function in any manufacturing or service organisation. It also aims to show the growing importance of this function both nationally and internationally. - The module also examines in detail some of the technical and management methods for improving quality performance within an organisation.

Learning Outcomes

1. 1EF4958FDBF49B04617C545DAB32948DF
2. use project planning software to develop a project plan, determine the time and cost elements in a project plan, and evaluate earned value analysis in a project plan.
3.
4.
5. 1
6. 1EF49591CB2B45DA674C82712B1D9760E
7. describe and define Quality, Voice of the Customer, Continuous Improvement, Employee Participation, the contribution of Dr. Taguchi to Quality Management, the Cost of Quality Models and their implications for Continuous Improvement Programmes, types of Process Capability Studies and the Seven Quality Control Tools.
8.
9.
10. 2
11. 1EF49593CDE38DD877D6AAC19D0D1CB3C
12. describe and define project management, the aims of any project, the golden rule of project management, define the different types of project management structure, the selection of project estimators, methods of preparing a project proposal, and methods of keeping track of a project.
13.
14.
15. 3
16. 1EF49594BBF05FC99FE539566DA74A4E0
17. perform project planning using network analysis.
18.
19.
20. 4
21. 1EF49594CBF8DC743FC7BC19BB770F818
22. calculate estimates of Process Capability using capability indices, Statistical Process Control charts, Histograms and Normal Probability Plots.
23.
24.
25. 5
26. 1EF49595CFFEF285E801A94DBA6CA2E67
27. develop and interpret Statistical Process Control charts and determine which type of control chart is appropriate in a given situation.
28.
29.
30. 6
31. 1EF49595DA16505AAD3218A37F8FD0AD9
32. use Taguchi’s Loss function to calculate the Cost of Quality
33.
34.
35. 7

*Type*	*Hours*	*Description*
Workload	Full time hours per semester
Tutorial	12	No Description
Lecture	24	No Description
Seminars	12	No Description
Independent Study	77	No Description
Total Workload: 125

Section Breakdown
CRN	10216	Part of Term	Semester 1
Coursework	40%	Examination Weight	60%
Grade Scale	40PASS	Pass Both Elements	N
Resit Category	RC1	Best Mark	N
Module Co-ordinator	Inam Ul Ahad	Module Teacher

Type	Description	% of total	Assessment Date
Assessment Breakdown
Group assignment	Use MS Project software to generate a project plan for a given case study, complete with tasks, timelines, inter-relationships, costs, PERT and critical path analysis. Interim review and reporting.	20%	Week 6
Formal Examination	End-of-Semester Final Examination	80%	End-of-Semester

Reassessment Requirement Type
Resit arrangements are explained by the following categories; RC1: A resit is available for both^* components of the module. RC2: No resit is available for a 100% coursework module. RC3: No resit is available for the coursework component where there is a coursework and summative examination element. ^* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment

Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

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

Project and quality management
Introduction to project management including legal aspects, organisation structure types, and benefits; Project Planning: Project definition, Work breakdown structure, Critical path method, Resource management, Scheduling, Project estimation, Human factors; Project Implementation: Activity lists Progress reporting procedures; Modifications; Project Termination; Contemporary issues: in project management Customer focus, organisational changes; ABC; Proposal writing; Project management, computerisation and software. • Introduction to quality management: what is quality, responsibility for quality, process capability. • Statistical tolerances: natural tolerance limits, statistical tolerances for assemblies. • Taguchi methods: the loss function, robust design, off-line and on-line quality control. • Statistical Process Control: control charts for variables, control charts for attributes, interpreting the control charts. • Management involvement in quality assurance: quality policy, quality system and quality manual, human factors affecting quality performance.

Indicative Reading List

Books:

Clifford F. Gray, Erik W. Larson: 2006, Project management, McGraw-Hill/Irwin, Boston, 9780071244466
Douglas C. Montgomery: 2009, Introduction to statistical quality control, John Wiley & Sons, Hoboken, N.J., 9780470233979
J.K. Pinto: 2010, Project Management Achieving Competitive Advantage, 2nd Edition, Pearson, 9780135097557

Articles:
None

Other Resources

None