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

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

Not applicable to this module.

Not applicable to this module.
 

Assessment Strategy  

Description	Timing		Component Scale		% of Final Grade
Examination: Final Exam (open book)	2 hour End of Trimester Exam	Yes	Graded	No	50
Continuous Assessment: Online tests: Working with data using R	Throughout the Trimester	n/a	Alternative linear conversion grade scale 40%	No	50

 

Resit In	Terminal Exam
Summer	No

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

Not yet recorded.

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).

Name	Role
Dr Paul Brooks	Lecturer / Co-Lecturer
Dr John Finarelli	Lecturer / Co-Lecturer
Dr Adam Kane	Lecturer / Co-Lecturer
Dr Marcin Penk	Lecturer / Co-Lecturer
Sarang Bhutada	Tutor
Jonathan Willans	Tutor
Ultan Ò'Donnell	Tutor

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