MATH 499M. Stochastic Dynamical Modeling in Biology. 4 Credits.
This course covers stochastic dynamical models in biology, i.e., mathematical models that describe the behavior of non-deterministic biological systems as a result of internal feedback loops, external forcings and random processes. Topics include stochastic iterative maps, Markov chains, vector autoregression models, and time series analysis. Multilisted with BI 499M.
Requisites: Prereq: One from MATH 242, MATH 247, MATH 252Z; one from STAT 243Z, DSCI 345M, MATH 345M, MATH 461, MATH 467. Basic programming skills recommended.
Equivalent to: BI 499M