| This course will introduce students to stochastic simulation techniques as used in solving biological problems. Theoretical basis of stochastic simulations (master equation based approaches) will be elucidated. Monte Carlo simulations will be introduced as a tool to obtain solution of master equations. Kinetic Monte Carlo approaches will be discussed in the context of dynamical problems and single cell biology. Data analysis for Monte Carlo simulations and single cell biology will be part of this course. Hybrid simulation techniques will be taken up as applied to solve problems in biology and immunology. We will also discuss biomedical / technological applications of stochastic modeling such as for vaccine design and cancer therapy. |