| Description |
Mathematical models of complex natural phenomena can organize large amounts of data, provide access to properties that are difficult or impossible to measure experimentally, and suggest new experimental tests of proposed regulatory mechanisms. Participants will demonstrate these ideas in the context of cell and developmental biology. Using a number of well-established experimental systems, such as dynamic instability of microtubules and circadian clocks, course introduces stochastic and deterministic models of reaction and diffusion processes and computational methods for their analysis. |