Biology Data Analysis Coursework

Biology Data Analysis Coursework-20
Students choose one data analysis option from several according to their interests and discipline.Within each option, students will be provided with the opportunity to learn about and be supported in applying these analytical skills to defined problems discussed in workshops.Feedback on your progress is important to your learning process and we return all first and second year work to you after marking for feedback purposes via Biology Student Services in week 9 or 10 of the spring and summer terms.

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Furthermore, students will apply their skills independently to a 'project' for each option.

Each options consists of c.15 hours of contact time in the form of lectures and workshops, for which students will be set specific tasks, and be able to develop and discuss their ideas for independent / project work.

Be able to organise large data sets and document computational analysis. None Formative work on the VLE will present example publications relating to the datasets (discussed in the lectures) with questions of interpretation and model answers.

Once students have worked through the analysis of small exemplar datasets, students will work on their project during the workshops.

The module is based around understanding the logic behind statistical tests and applying them using the open-access statistics program ‘R’.

We use an interactive approach working through examples of analyses using R.Module marks are made available to both you and your supervisor via your e Vision account as soon as the marks are available, by week 6 of the spring term and week 8 of the summer term.You are expected to discuss your performance and progress with your supervisor in your mid-spring term and end of summer term supervisory meetings.By continuing to use this site, you consent to the use of cookies.We use cookies to offer you a better experience, personalize content, tailor advertising, provide social media features, and better understand the use of our services.Peer-to-peer feedback within workshops will be encouraged.Feedback on summative assessment will be returned within four weeks Problem based skills development means key texts are not appropriate.You will gain knowledge in and experience of the modern scientific method as applied in ecology and evolution, including hypothesis formulation, experimental design and modern techniques for collecting and analysing data.We use real research data that you collect in our practicals, and discuss examples from contemporary biological research in lectures.Data analysis is becoming an increasingly important aspect of the running of modern businesses of all types.An understanding of the framework within which we can ask questions using data is an important skill for a growing range of careers, and competence with R is an increasingly valuable asset.


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