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The basis for decision making in biotechnology is often the analysis of data. In order for these decisions to be reliable data must be correctly collected and analysed. To control costs data should be efficiently collected and it needs to be properly stored and managed. The interpretation of an analysis requires some knowledge of basic statistical ideas and techniques and the results will often be communicated to a non-specialist audience who will make decisions based on the presentation. Alternatively decisions may be made from the analyses and interpretations of others. This subject examines the whole process of data collection, analysis and decision making.
This subject is a core subject for Master of Biotechnology (MC-SCIBIT) and examples and curriculum are designed for MC-SCIBIT students.
Intended learning outcomes
Students completing the subject will be familiar with the entire statistical process from experimental design and data collection to presenting a report to a possibly non-specialist audience. In passing they will become familiar with some statistical techniques but this is not the aim of the subject. By being aware of the entire statistical process and the resources required they will be better equipped to manage such projects. Students will also become familiar with a major statistical computing package.
At the completion of this subject, students should gain the following generic skills:
- problem-solving skills (especially through tutorial exercises and assignments) including engaging with unfamiliar problems and identifying relevant strategies;
- analytical skills including the ability to construct and express logical arguments and to work in abstract or general terms to increase the clarity and efficiency of the analysis;
- the ability to work in a team, through interactions with other students.
Last updated: 1 May 2020