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XX50235: Applied data science in biology

Follow this link for further information on academic years Academic Year: 2019/0
Further information on owning departmentsOwning Department/School: Department of Biology & Biochemistry
Further information on credits Credits: 15      [equivalent to 30 CATS credits]
Further information on notional study hours Notional Study Hours: 300
Further information on unit levels Level: Masters UG & PG (FHEQ level 7)
Further information on teaching periods Period:
Academic Year
Further information on unit assessment Assessment Summary: CW 100%
Further information on unit assessment Assessment Detail:
  • Case Studies (CW 40%)
  • Report (CW 60%)
Further information on supplementary assessment Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Further information on requisites Requisites:
Further information on descriptions Description: Aims:
This unit is aimed at students with strong computational skills interested in gaining extensive hands-on experience in practical data-driven analytic science.

Learning Outcomes:
By the end of this unit you will be able to:
* Describe and implement the processes involved in initial data handling, preparation and assessment
* Discriminatively apply relevant analytic techniques in the context of defined objectives, and critically interpret results
* Deploy, and critically assess, a high-level software technology in a "Big Data" scenario
* Deliver a critical and informative report of methods applied and analytic output obtained, in both written and oral form.

Topics covered normally include data sources and acquisition, preparation and pre-processing, summarisation and exploratory analysis, application of statistical and machine learning models using a relevant programming language (e.g. Python), model assessment and interpretation of results, along with legal and ethical factors. In the second half, topics will typically focus on higher level Python packages, big data technologies, data sources, mainstream applications and report production.
Further information on programme availabilityProgramme availability:

XX50235 is Optional (DEU) on the following programmes:

Department of Biology & Biochemistry
  • RSBB-AFM48 : Integrated PhD Molecular Biosciences (Bioinformatics)
  • TSBB-AFM48 : MSc Molecular Biosciences (Bioinformatics)