BIOT M302

Design of Experiments for Biomanufacturing

  • 4 units
  • Prerequisites

Teaches the formal approach called “Design of Experiments” (DoE), a system that optimizes a process, makes it more robust, and minimizes variability from external sources through the methodical varying of key parameters and a formalized approach to the analysis, interpretation, and application of the results. Builds upon the statistical concepts required for DoE including hypothesis testing, confidence intervals, statistical models, and analysis of variance (ANOVA), and elucidates the approach to systematically vary the parameters of a biomanufacturing project to improve its operation. Prerequisites: Introductory Statistics (MATH M15 or MATH M15H) or equivalent or placement as determined by the college's multiple measures assessment process, BIOL M02A or BIOL M02AH, BIOT M10 or BIOL M13, BIOT M02C or BIOL M12C, and BIOT M02D or BIOL M12D

Prerequisites

Teaches the formal approach called �Design of Experiments� (DoE), a system that optimizes a process, makes it more robust, and minimizes variability from external sources through the methodical varying of key parameters and a formalized approach to the analysis, interpretation, and application of the results. Builds upon the statistical concepts required for DoE including hypothesis testing, confidence intervals, statistical models, and analysis of variance (ANOVA), and elucidates the approach to systematically vary the parameters of a biomanufacturing project to improve its operation.