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Data Analysis & Programming in the Biosciences - BIO00052M

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• Department: Biology
• Credit value: 20 credits
• Credit level: M
• Academic year of delivery: 2022-23
  • See module specification for other years: 2023-24 2024-25

Module will run

Occurrence	Teaching period
A	Autumn Term 2022-23 to Spring Term 2022-23

Module aims

• Use programming and statistics to create, control and analyse data.
• Gain confidence in using programming and statistics for biological problems.
• Develop good habits in programming and documentation.
• Work in a small group to tackle a programming project.

Module learning outcomes

In Programming the successful student will be able to:

• Describe and explain the basic components of a programming language.
• Design, evaluate, and execute programming scripts.
• Reflect on how programming could be applied to biological problems.

Module content

For Data Analysis the successful student will be able to:

• Explain the purpose of data analysis
• Recognise when t-tests, one-way ANOVA, correlation and regression can be applied
• Use R to perform these analyses on data in a variety of formats 
• Interpret, report and graphically present the results

 

Indicative assessment

Task	% of module mark
Essay/coursework	50
Essay/coursework	50

Special assessment rules

None

Indicative reassessment

Task	% of module mark
Essay/coursework	50
Essay/coursework	50

Module feedback

Feedback will be provided via two formative assessments. Feedback will also be provided through workshops and tutorials. Feedback on summative work will be provided within six weeks of the assessment.

Indicative reading

https://www.datacamp.com/

These are available in EARL which is accessible through the VLE module site.