M447 | 3334 | Thompson

Introduction: real models, mathematical models, and the model building process. Classification of models and examples of model building: biological population dynamics, Mendelian genetics, social choice, scheduling and allocation. Markov chains and related stochastic models. Models for decision making: mathematical programming, scheduling, networks, and models for constrained optimization. Applications to problems arising in the social, life, and management sciences.