About

This course will prepare students to apply quantitative and statistical techniques to the analysis of experimental data. To emphasize both practical and theoretical skills, the course will involve hands-on exercises and homework using the GraphPad Prism program. Students will be well positioned to meet the emerging requirements of funding agencies for formally planned experiments and fully reproducible and documented data analysis methods.

Specific topics include: graphical, mathematical and verbal communication of quantitative concepts; selection of appropriate statistical tests and the interpretation of their results; the design of appropriately sized experiments; the formulation, evaluation, and analysis of mathematical models of biological function, with an emphasis on linear and non-linear regression, determination of model parameters; and the critical comparison of alternative models with regard to over-parameterization.