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BIOT6011 - Computational Biology

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Title:Computational Biology
Long Title:Computational Biology
Module Code:BIOT6011
 
Duration:1 Semester
Credits: 5
NFQ Level:Fundamental
Field of Study: Biotechnology
Valid From: Semester 1 - 2017/18 ( September 2017 )
Module Delivered in 8 programme(s)
Module Coordinator: Brigid Lucey
Module Author: Craig Murphy
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.
Learning Outcomes
On successful completion of this module the learner will be able to:
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
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).
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
 

Module Content & Assessment

Indicative Content
Word Processing
Document creation, formatting, tables of contents, using integrated referencing software, working with long documents, generating reports
Presentation Software
Slideshow creation, animations, transitions, image editing, presentation skills
Spreadsheets
Spreadsheet organisation and linking, use of formulas, inputting data into figures, creating different types of figures
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
Biostatistics
Use of computational methods to investigate categorical and continuous data, probability distributions, estimation of parameters and statistical significance
Bioinformatics
Introduction to basic concepts in bioinformatics and practical applications in the selected biological industries
Assessment Breakdown%
Course Work100.00%
Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation Computing labs, presentation design, calculation assignments, lab quizzes 1,2,3,4,5 60.0 Every Week
Multiple Choice Questions Written Assessment 1,2,3,4 40.0 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 on material as outlined in syllabus 2.0 Every Week 2.00
Lab on material as outlined in syllabus 2.0 Every Week 2.00
Independent & Directed Learning (Non-contact) interaction with software and assigned problems 3.0 Every Week 3.00
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

Recommended Book Resources
  • Stephenson, F. 2016, Calculations for Molecular Biology and Biotechnology, 3rd Ed., Academic Press London [ISBN: 9780128022115]
  • Le & Eberly 2016, Introductory Biostatistics, 2nd Ed., Wiley New Jersey [ISBN: 9780470905401]
Supplementary Book Resources
  • Lesk, A. 2013, Introduction to Bioinformatics, 4th Ed., Oxford University Press Oxford [ISBN: 9780199651566]
This module does not have any article/paper resources
Other Resources
 

Module Delivered in

Programme Code Programme Semester Delivery
CR_SAGBI_8 Bachelor of Science (Honours) in Agri-Biosciences 4 Elective
CR_SNHSC_8 Bachelor of Science (Honours) in Nutrition and Health Science 3 Elective
CR_SPHBI_8 Bachelor of Science (Honours) in Pharmaceutical Biotechnology 4 Elective
CR_SAGBI_7 Bachelor of Science in Agri-Biosciences 4 Elective
CR_SBIBI_7 Bachelor of Science in Applied Biosciences and Biotechnology 3 Elective
CR_SFSTE_7 Bachelor of Science in Food and Health Science 3 Elective
CR_SCEBS_8 Common Entry Biological Sciences 4 Mandatory
CR_SBIOS_6 Higher Certificate in Science in Applied Biosciences 3 Elective

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