CIT Modules & Programmes - INTR9006 - Engineering Research Skills

Title:	Engineering Research Skills
Long Title:	Engineering Research Skills

Module Code:	INTR9006

Credits:	5

NFQ Level:	Expert

Field of Study:	Interdisciplinary Engineering

Valid From:	Semester 1 - 2009/10 ( September 2009 )

Module Delivered in	6 programme(s)

Module Coordinator:	DES WALSH

Module Author:	NIAMH POWER

Module Description:

The learner develops a project brief from a broad area of engineering research, identifying areas where further research is required. The project brief is to include development of aims and objectives for the research project. The learner will develop engineering specific research skills including design of experiments. The learner will also be introduced to a range of advanced problem solving techniques.

Learning Outcomes
On successful completion of this module the learner will be able to:
LO1	Develop a project brief with aims and objectives in an identified area where further research is required.
LO2	Design experiments, analyse experimental data, validate results, and present the findings.
LO3	Apply problem solving techniques such as risk assessment and decision analysis to engineering problems.
LO4	Apply advanced data analysis techniques to data sets in an engineering context.

Pre-requisite learning
Module Recommendations This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named CIT module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
No recommendations listed
Incompatible Modules These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.
No requirements listed
Co-requisites
No Co Requisites listed

Module Content & Assessment

Indicative Content
Research methods Engineering research methods; literature review, project planning and management, research methodology, written and oral communications, plagiarism, research ethics, project brief (aims and objectives), intellectual property and technology transfer in research.
Project Brief Identify areas where further research is required. Outline project aims and objectives and present a work schedule demonstrating how these aims/objectives will be achieved. The work schedule should be achievable and demonstrate the scope, feasibility, technical complexity and appropriateness of the proposed work.
Design of Experiments Introduction to structured approaches to the design of experiments, including data analysis, validation of results and error analysis. Develop an experimental design plan to critically evaluate the number and range of required experiments.
Problem Solving Techniques Problem solving techniques for engineering including statistical approaches to risk assessment (logic frequency, statistical models, judgement and Bayes Theorem) and decision analysis (primitive models and drawback, decision trees).
Data Analysis Techniques Data mining for the extraction of consistent patterns and/or systematic relationships between variables from large datasets. Application of techniques such as genetic algorithms, regression analysis, and clustering to engineering problems.

Assessment Breakdown	%
Course Work	100.00%

Course Work
Assessment Type	Assessment Description	Outcome addressed	% of total	Assessment Date
Written Report	Develop a project brief complete with aims and objects	1	25.0	Week 6
Project	Design of Experiment and related analyses	2	25.0	Week 6
Project	Apply risk assessment and decision analysis techniques to an engineering problem	3	25.0	Week 10
Project	Apply data analysis techniques to an engineering problem	4	25.0	Sem End

No End of Module Formal Examination

Reassessment Requirement
Coursework Only This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.

The institute reserves the right to alter the nature and timings of assessment

Module Workload

Workload: Full Time
Workload Type	Workload Description	Hours	Frequency	Average Weekly Learner Workload
Lecture	Delivery of engineering research skills	1.5	Every Week	1.50
Lecturer-Supervised Learning (Contact)	No Description	0.5	Every Week	0.50
Independent Learning	Application of research skills	5.0	Every Week	5.00
Total Hours				7.00
Total Weekly Learner Workload				7.00
Total Weekly Contact Hours				2.00

This module has no Part Time workload.

Module Resources

This module does not have any book resources
This module does not have any article/paper resources
This module does not have any other resources

Module Delivered in

Programme Code	Programme	Semester	Delivery
CR_ECHBI_9	Master of Engineering in Chemical and Biopharmaceutical Engineering	1	Mandatory
CR_CENEN_9	Master of Engineering in Civil Engineering (Environment and Energy)	1	Mandatory
CR_EMENG_9	Master of Engineering in Mechanical Engineering	1	Group Elective 1
CR_CSTRU_9	Masters of Engineering in Structural Engineering	1	Mandatory
CR_CENVE_9	Postgraduate Diploma in Civil Engineering (Environment and Energy)	1	Mandatory
CR_CSTRE_9	Postgraduate Diploma in Structural Engineering	1	Mandatory

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INTR9006 - Engineering Research Skills

Module Content & Assessment

Module Workload

Module Resources

Module Delivered in