Module Details
| Module Code: |
MATH9001 |
| Title: |
Research Methods
|
|
Long Title:
|
Research Methods
|
| NFQ Level: |
Expert |
| Valid From: |
Semester 1 - 2017/18 ( September 2017 ) |
| Field of Study: |
4610 - Mathematics
|
| Module Description: |
This module requires the learner to plan and solve a real-world problem using big data from industry, academia or government, e.g. collecting and processing real data, designing and implementing big data methods and tools, applying and evaluating data techniques to solve a real problem. The learner will undertake a piece of research conducted largely independently with academic supervision and, where appropriate, in collaboration with industry.
|
| Learning Outcomes |
| On successful completion of this module the learner will be able to: |
| # |
Learning Outcome Description |
| LO1 |
Propose a research question, develop the research methodology and project a plan for the research project. |
| LO2 |
Undertake preliminary experimental/design/analytical/modelling work as appropriate. |
| LO3 |
Evaluate critically a number of solutions to the identified problem. |
| LO4 |
Communicate effectively the idea and contribution of the proposed research project. |
| LO5 |
Select a potential peer-review conference/journal paper for the research work and identify how this work may contribute to furthering knowledge in the specific field. |
| Dependencies |
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 MTU module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
|
| 9098 |
COMP8042 |
Analytical and Scientific Prog |
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
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| 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 |
| Indicative Content |
|
Research Skills and Planning Methods
Review research skills including technical writing, research methodology and project planning. Identify a real-world problem using big data and create an appropriate research question. Principles of research and design. Role of hypotheses. Construction and planning of experiments. Plagiarism. Ethics. Intellectual Property. Referencing. Publication Types. Peer Review. Library Catalogue. E-book database and online databases.
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Research Principles and Methodologies
Research in a professional context, in support of planning, decision-making and policy analysis; the impact of research. Research principles (eg validity, reliability, generalisability); qualitative and quantitative approaches and rationale (eg empirical, basic, applied, practical and action research).
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Reporting of Data Analysis and Management
Data management, cleaning, analysis, interpretation, presentation and preparation.
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Thesis Development and Publication
Structure of a Masters Thesis and a peer-reviewed conference/journal. Preparation for conference. Identify an appropriate journal/conference and identify how it may contribute to the wider knowledge in the field.
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Module Content & Assessment
|
| Assessment Breakdown | % |
|---|
| Coursework | 100.00% |
Assessments
| 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 University reserves the right to alter the nature and timings of assessment
Module Workload
| Workload: Full Time |
| Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
| Lecture |
Contact |
Lecture delivering theory underpinning learning outcomes |
Every Week |
2.00 |
2 |
| Lab |
Contact |
Practical to develop individual proposal |
Every Week |
1.00 |
1 |
| Independent & Directed Learning (Non-contact) |
Non Contact |
Independent Study/Research |
Every Week |
4.00 |
4 |
| Total Hours |
7.00 |
| Total Weekly Learner Workload |
7.00 |
| Total Weekly Contact Hours |
3.00 |
| Workload: Part Time |
| Workload Type |
Contact Type |
Workload Description |
Frequency |
Average Weekly Learner Workload |
Hours |
| Lecture |
Contact |
Lecture delivering theory underpinning learning outcomes |
Every Week |
2.00 |
2 |
| Lab |
Contact |
Practical to develop individual proposal |
Every Week |
1.00 |
1 |
| Independent & Directed Learning (Non-contact) |
Non Contact |
Independent Study/Research |
Every Week |
4.00 |
4 |
| Total Hours |
7.00 |
| Total Weekly Learner Workload |
7.00 |
| Total Weekly Contact Hours |
3.00 |
|
Module Resources
|
| Recommended Book Resources |
|---|
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Martyn Denscombe. (2014), The Good Research Guide, 5th. Open University Press, McGraw-Hill Education, [ISBN: 9780335264704].
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Prabhat Pandey, Meenu Mishra Pandey. (2015), Research Methodology: Tools and Techniques,, 1st. Bridge Centre, [ISBN: 9786069350270].
| | Supplementary Book Resources |
|---|
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Steven J. Taylor, Robert Bogdan, Marjorie DeVault. (2016), Introduction to Qualitative Research Methods: A Guidebook and Resource, 4th. Wiley, [ISBN: 9781118767214].
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James D.Lester. (2014), Writing Research Papers: A Complete Guide, 15th. Pearson, [ISBN: 9780321952950].
| | This module does not have any article/paper resources |
|---|
| Other Resources |
|---|
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Website, Henrichsen, L. et al. (2007), Taming the Reseach Beast,
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Website, APA reference style: Tightening up your
citations,
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