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Curricular information is subject to change
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.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Practical Skills Assessment: Online test on data analysis in R | n/a | Alternative linear conversion grade scale 40% | No | 20 |
|
Quizzes/Short Exercises: In-class exercises | n/a | Pass/Fail Grade Scale | No | 30 |
|
Exam (Open Book): 2 hour open book exam on data analysis and experimental design. | n/a | Graded | No | 50 |
Resit In | Terminal Exam |
---|---|
Summer | No |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Online automated feedback
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.
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 |
Jonathan Willans | Tutor |
Ultan Ò'Donnell | Tutor |