Module Details

Module Code: COMP9068
Title: AI Research Project
Long Title: AI Research Project
NFQ Level: Expert
Valid From: Semester 1 - 2018/19 ( September 2018 )
Duration: 1 Semester
Credits: 15
Field of Study: 4811 - Computer Science
Module Delivered in: 1 programme(s)
Module Description: In this module the learner is expected to undertake independent study. As part of this self-directed learning the student will employ various research methods and will develop and implement their proposed and approved project applied to the field of Artificial Intelligence (AI). The student will be expected to disseminate the research work and research outcomes through an oral presentation, poster presentation and submission of a dissertation.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Plan and implement self directed learning to further knowledge and understanding of an unfamiliar and/or ill defined problem applied to the field of Artificial Intelligence (AI).
LO2 Establish a contribution to the development of knowledge in the specific discipline.
LO3 Apply appropriate written and oral communication skills and synthesise the research work in the form of presentation, abstracts, executive summaries, technical papers and a dissertation.
LO4 Prepare a dissertation that details and evaluates the work undertaken and justifies the conclusions reached.
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).
13405 COMP9011 Research Practice & Ethics
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
 
Indicative Content
Content
A mandatory requirement of the programme is the development of a research project in an area that complements the student’s continuing professional development. Prior to taking this module, the student will have selected their research question which will be further developed, investigated and implemented as part this module. Considerable latitude, will be given to the student in the choice of subject material and medium for the project, thereby allowing assessment of selectivity and creativity. The project is used to assess: the learner’s initiative; ability to learn autonomously and to conduct research; range of know-how and skill; the judgement exercised by the learner in approaching the brief; level of analysis and synthesis leading to conclusions. Creative competences and the ability to organise material are tested in the oral presentation and report.
General
Supervised self directed learning that addresses the learning outcomes, draws on the overall curriculum content and critically evaluates a specific research problem.
Oral and poster presentation
Disseminate the research work and outcomes and communicate effectively, through oral and poster presentations. This will include an in-depth question and answer session.
Dissertation
Present a dissertation which communicates and disseminates the research work undertaken and the research outcomes developed. The dissertation should include the analysis undertaken, results of the work and how this work contributes to furthering knowledge in the specific field of research. The learner must demonstrate a deep and fundamental understanding of the specific research problem addressed.
Module Content & Assessment
Assessment Breakdown%
Coursework100.00%

Assessments

Coursework
Assessment Type Written Report % of Total Mark 20
Timing Week 6 Learning Outcomes 1,2,3
Assessment Description
Submit a mid term report and present their work summarising the workplan with the aim of demonstrating project progress and deliverables achieved and intended scientific contribution to the field of study (attendance at interview may be required).
Assessment Type Written Report % of Total Mark 80
Timing Sem End Learning Outcomes 1,2,3,4
Assessment Description
Dissertation submission outlining the topic, research question and methodology, project, findings and plan. The student will also be expected to demonstrate their project through a presentation and/or demonstration.
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
Lecturer-Supervised Learning (Contact) Contact Weekly meeting with project supervisor. Every Week 0.50 0.5
Tutorial Contact Research Project - Class Workshop. Every Week 0.50 0.5
Independent & Directed Learning (Non-contact) Non Contact Project work and independent learning. Every Week 20.00 20
Total Hours 21.00
Total Weekly Learner Workload 21.00
Total Weekly Contact Hours 1.00
Workload: Part Time
Workload Type Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecturer-Supervised Learning (Contact) Contact Weekly meeting with project supervisor. Every Week 0.50 0.5
Tutorial Contact Research Project - Class Workshop. Every Week 0.50 0.5
Independent & Directed Learning (Non-contact) Non Contact Project work and independent learning Every Week 20.00 20
Total Hours 21.00
Total Weekly Learner Workload 21.00
Total Weekly Contact Hours 1.00
 
Module Resources
Recommended Book Resources
  • Martyn Denscombe. (2010), The Good Research Guide, 4. Open University Press, [ISBN: 978-0335241385].
  • J.A. Sharp, K. Howard. (2002), The Management of a Student Research Project, 3. Gower Publishing, [ISBN: 0-566-08490-2].
  • W. Strunk Jr., E. White, R. Angell. (2000), The Elements of Style, 4. Pearson Higher Education, [ISBN: 0-205-30902-X].
Supplementary Book Resources
  • Robert K. Yin (Editor). (2013), Case Study Research: Design and Methods, 5th. Sage Publications.
  • Turabian, K.. (2013), manual for writers of research papers, theses, and dissertations: Chicago style for students and researchers, University of Chicago Press.
  • Levin, P.. (2011), Excellent Dissertations, Student Friendly Guides, Open University Press, [ISBN: 0335238610].
  • Dennis Lock. (2007), Project management, Gower, Aldershot, [ISBN: 978-0566087721].
  • J. Henry. (2003), Software Project Management: A Real-World Guide to Success, Addison-Wesley, [ISBN: 0-201-75865-2].
Recommended Article/Paper Resources
  • Halpern, J. W.. (1998), Getting in deep: Using qualitative research in business and technical communication, 2(2).
  • Rude, C. D.. Mapping the Research Questions in Technical Communication, Journal of Business and Technical Communication, Jan 2009.
Other Resources
 
Module Delivered in
Programme Code Programme Semester Delivery
CR_KARIN_9 Master of Science in Artificial Intelligence 2 Mandatory