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Data Analysis & Programming in the Biosciences - BIO00052M

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  • Department: Biology
  • Module co-ordinator: Dr. Kim Simpson
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2019-20

Module will run

Occurrence Teaching cycle
A Autumn Term 2019-20 to Spring Term 2019-20

Module aims

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

Module learning outcomes

  • 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 sensing projects.

    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

Assessment

Task Length % of module mark
24 hour open exam
Open Book Closed R exam in Statistics
2 hours 50
Essay/coursework
Programming assessment
N/A 50

Special assessment rules

None

Reassessment

Task Length % of module mark
24 hour open exam
Open Book Closed R exam in Statistics
2 hours 50
Essay/coursework
Programming assessment
N/A 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.



The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.

Coronavirus (COVID-19): changes to courses

The 2020/21 academic year will start in September. We aim to deliver as much face-to-face teaching as we can, supported by high quality online alternatives where we must.

Find details of the measures we're planning to protect our community.

Course changes for new students