Metadata
Title
BIOL30030
Category
general
UUID
b3a0476c342a4f679f2ced4c3247ef6f
Source URL
https://hub.ucd.ie/usis/!W_HU_MENU.P_PUBLISH?p_tag=MODULE&MODULE=BIOL30030&TERMC...
Parent URL
https://hub.ucd.ie/usis/!W_HU_MENU.P_PUBLISH?p_tag=COURSE&MAJR=BGS4&AUDIENCE=
Crawl Time
2026-03-23T20:04:59+00:00
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BIOL30030

Source: https://hub.ucd.ie/usis/!W_HU_MENU.P_PUBLISH?p_tag=MODULE&MODULE=BIOL30030&TERMCODE=202500&ACYR=2026 Parent: https://hub.ucd.ie/usis/!W_HU_MENU.P_PUBLISH?p_tag=COURSE&MAJR=BGS4&AUDIENCE=

Academic Year 2025/2026

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Working with Biological Data (BIOL30030)

Subject: : Biology

College: : Science

School: : Biology & Environment Science

Level: : 3 (Degree)

Credits: : 5

Module Coordinator: : Assoc Professor Jonathan Yearsley

Trimester: : Spring

Mode of Delivery: : Blended

Internship Module: : No

How will I be graded? : Letter grades

Curricular information is subject to change.

This module aims to equip you with the skills to professionally interpret and communicate technical information in the life and environmental sciences. \ \ Topics covered include the data management, data visualisation, statistical modelling, design and analysis of biological and environmental experiments, introduction to linear models and hypothesis testing using R.\ \ Students will require their own laptops.\

About this Module

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What will I learn?

Learning Outcomes:

Learning Outcomes:\ 1. Organise and manipulate data on a computer;\ 2. Design a biological / environmental experiment, taking due account of independence, allocation of replicates and controls; \ 3. Fit and validate a statistical model to biological data;\ 4. Test a null-hypothesis using a fitted statistical model;\ 5. Accurately communicate data using graphs, tables and written text;\ 6. Answer research questions and draw strong defensible conclusions using statistical data analysis. \ \ Skills:\ The module will contribute towards the development of the following skills:\ • Effective presentation and writing of technical information\ • Transparency and collaboration on data analysis projects (open science)\ • Spreadsheet (Excel), R statistical language and general computer skills\

How will I learn?

Student Effort Hours:
Student Effort Type Hours
Lectures 5
Practical 19
Autonomous Student Learning 93
Online Learning 8
--- ---
Total 125

\

Approaches to Teaching and Learning:

A mixture of lectures, practicals and online learning

Am I eligible to take this module?

Requirements, Exclusions and Recommendations

Not applicable to this module.

\

Module Requisites and Incompatibles

Not applicable to this module. \  \

How will I be assessed?

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (Open Book): 2 hour open book exam on data analysis and experimental design. End of trimester Duration: 2 hr(s) Graded No 50 No
Practical Skills Assessment: Online test on data analysis in R Week 12 Alternative linear conversion grade scale 40% No 20 No
Quizzes/Short Exercises: In-class exercises Week 2, Week 4, Week 6, Week 8, Week 10 Pass/Fail Grade Scale No 30 No

\

Carry forward of passed components

Yes

\

What happens if I fail?

Resit In Terminal Exam
Summer No

Please see Student Jargon Buster for more information about remediation types and timing. \

Assessment feedback

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment\ • Group/class feedback, post-assessment\ • Online automated feedback\

How will my Feedback be Delivered?

Practice online tests give formative feedback prior to the final online tests. Individual feedback on online tests and the final exam is available by contacting the module coordinator.

Reading List

Beckerman, Childs and Petchey (2017) Getting started with R : an introduction for biologists (Oxford University Press, Oxford) [electronic resource] http://library.ucd.ie/iii/encore/record/C__Rb2147070\ \ Crawley (2015) Statistics : an introduction using R (John Wiley & Sons, Ltd, London) [electronic resource] http://library.ucd.ie/iii/encore/record/C__Rb2103637\ \ Raykov and Marcoulides (2013) Basic statistics : an introduction with R (Rowman & Littlefield Publishers, Inc., Plymouth). [electronic resource] http://library.ucd.ie/iii/encore/record/C__Rb1961859\ \ Barnard, Gilbert and McGregor (2011) Asking questions in biology: a guide to hypothesis testing, experimental design and presentation in practical work and research projects (Pearson) [electronic resource] http://library.ucd.ie/iii/encore/record/C__Rb1880444\ \ Ruxton and Colegrave (2016) Experimental design for the life sciences (Oxford University Press, Oxford)\ \ Underwood AJ (1997) Experiments in ecology: their logical design and interpretation using analysis of variance. (Cambridge University Press, Cambridge).\ \ \ \

Associated Staff

Name Role
Dr Paul Brooks Lecturer / Co-Lecturer
Dr Darrin Hulsey Lecturer / Co-Lecturer
Dr Adam Kane Lecturer / Co-Lecturer
Dr Marcin Penk Lecturer / Co-Lecturer
Chloe Ashley Tutor
Marcela Diaz Rivadeneira Tutor
Jacques Walter Olivier Tutor

When is this module offered?

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.

Spring Workshop Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Mon 10:00 - 10:50
Spring Workshop Offering 1 Week(s) - 23, 24, 25, 26 Tues 12:00 - 12:50
Spring Workshop Offering 1 Week(s) - 20, 21, 22, 29, 30, 31, 32, 33 Tues 12:00 - 13:50

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