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BIOT9003 - Research Project

Title:Research Project
Long Title:Research Project for Computational Biology
Module Code:BIOT9003
Credits: 30
NFQ Level:Expert
Field of Study: Biotechnology
Valid From: Semester 1 - 2011/12 ( September 2011 )
Module Delivered in 1 programme(s)
Module Coordinator: BRENDAN O CONNELL
Module Author: HUGH MC GLYNN
Module Description: This project takes place in semester 3 of a 90-credit Masters programme. Its focus is on the integration of IT solutions to a Biological Science question. The project can take place within industry or within an existing research group in the Deptartment of Biological Sciences and Computing.
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Initiate and direct work in the interdisciplinary area of Biology and Information Technology.
LO2 Interact in a professional manner with experts in interdisciplinary teams in the pursuance the project.
LO3 Demonstrate the Integration of critical thinking processes within their project.
LO4 Critically appraise the role of the particular project with a wider context for the purposes of potential future development.
LO5 Contextualise their project within the broader economic environment with particular reference to its potential development in the PharmaBiotech Industry.
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

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
No Co Requisites listed

Module Content & Assessment

Indicative Content
The content of the Masters Project is characterized by the submission of a Thesis
The actual deliverable will be negotiated with the supervising team at the beginning of the Module (and would normally be based upon the outcome of the ‘Project Proposal module’). The thesis must include some critical review of research or work of others in the field. Projects must meet the criteria of being challenging, interactive, and based upon a systematic approach to the solving of a stated problem or the achievement of a stated goal.
The Thesis shall be circa 20,000 words
Assessment Breakdown%
Course Work100.00%
Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Written Report Thesis 1,2,3,4,5 80.0 Sem End
Presentation Oral Presentation of Project Work 1,2,3,4,5 20.0 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
Independent & Directed Learning (Non-contact) Project Work and Independent Learning 35.0 Every Week 35.00
Lecturer-Supervised Learning (Contact) No Description 0.5 Every Week 0.50
Total Hours 35.50
Total Weekly Learner Workload 35.50
Total Weekly Contact Hours 0.50
This module has no Part Time workload.

Module Resources

Recommended Book Resources
  • Pat Cryer, The research student's guide to success [ISBN: ISBN: 978-0335206865]
  • Renata Phelps, Kath Fisher, Allan H Ellis,, Organizing and Managing Your Research [ISBN: [ISBN: 978-1412920643]]
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_SCMPB_9 Master of Science in Computational Biology 3 Mandatory

Cork Institute of Technology
Rossa Avenue, Bishopstown, Cork

Tel: 021-4326100     Fax: 021-4545343
Email: help@cit.edu.ie