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Description
This module is designed to show practicing scientists and engineers how statistical design techniques can be used to rapidly understand and optimise bioprocess performance. It will provide students with methods to ensure the whole bioprocess sequence is operating robustly and development budgets are used effectively. The module covers hands-on training in the use of commercially available Design of Experiments (DoE) software (the course will focus on Design Expert but illustrate how designs are implemented and analysed in other commonly used packages). The module aims to provide an introduction to experimental design techniques, selection of appropriate designs and the correct interpretation of results. Real life case studies using actual bioprocess data covering the entire bioprocess sequence and associated analytical techniques will be used.
Upon completion of the course, a student should be able to:
- Have in-depth knowledge of the principles of statistical experimental design
- Use of Design Expert software
- Use of software for the analysis and interpretation of experimental data
- Apply the statistical experimental design knowledge to a range of different bioprocess operations
- Critically appraise relevant published work
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 8th April 2024.
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