Module Details
Module Code: |
BIOT6011 |
Title: |
Computational Biology
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Long Title:
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Computational Biology
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NFQ Level: |
Fundamental |
Valid From: |
Semester 1 - 2017/18 ( September 2017 ) |
Field of Study: |
4218 - Biotechnology
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Module Description: |
The purpose of this module is to introduce Biological Science students to basic concepts in computational biology, and develop numerical/IT biology-specific skills appropriate to modern concepts in selected industries.
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
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Learning Outcome Description |
LO1 |
Recognise the importance of computational biology and discuss examples of its practical applications in the biological sciences |
LO2 |
Design spreadsheets and implement formula to solve calculations necessary for biological sciences |
LO3 |
Evaluate and describe biological problems using data analytics, and determine statistical significance |
LO4 |
Define the concept of bioinformatics and discuss its applications in the selected industries |
LO5 |
Develop professional reports and presentations using modern IT tools |
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).
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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.
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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.
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No requirements listed |
Indicative Content |
Word Processing
Document creation, formatting, tables of contents, using integrated referencing software, working with long documents, generating reports
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Presentation Software
Slideshow creation, animations, transitions, image editing, presentation skills
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Spreadsheets
Spreadsheet organisation and linking, use of formulas, inputting data into figures, creating different types of figures
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Computational Biology
Everyday applications of computation and calculations within the biological sciences, practical and computational examples within microbiology, biochemistry, biotechnology, nutrition and food science, and general biology
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Biostatistics
Use of computational methods to investigate categorical and continuous data, probability distributions, estimation of parameters and statistical significance
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Bioinformatics
Introduction to basic concepts in bioinformatics and practical applications in the selected biological industries
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Module Content & Assessment
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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.
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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 |
on material as outlined in syllabus |
Every Week |
2.00 |
2 |
Lab |
Contact |
on material as outlined in syllabus |
Every Week |
2.00 |
2 |
Independent & Directed Learning (Non-contact) |
Non Contact |
interaction with software and assigned problems |
Every Week |
3.00 |
3 |
Total Hours |
7.00 |
Total Weekly Learner Workload |
7.00 |
Total Weekly Contact Hours |
4.00 |
This module has no Part Time workload. |
Module Resources
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Recommended Book Resources |
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Stephenson, F.. (2016), Calculations for Molecular Biology and Biotechnology, 3rd. Academic Press, London, [ISBN: 9780128022115].
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Le & Eberly. (2016), Introductory Biostatistics, 2nd. Wiley, New Jersey, [ISBN: 9780470905401].
| Supplementary Book Resources |
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Lesk, A.. (2013), Introduction to Bioinformatics, 4th. Oxford University Press, Oxford, [ISBN: 9780199651566].
| This module does not have any article/paper resources |
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Other Resources |
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Website, Microsoft. Office Training Center,
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Website, Statistics How To. Probability & Statistics,
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Website, NCSU. Bioinformatics in Motion,
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