Modeling and Simulation covers a range of modeling techniques beyond what is covered in a regression or machine-learning course. This will include Optimization, Statistical Modeling in Robust Linear Regression, and Categorical Data Analysis. The course will also cover Simulation Techniques related to Statistical Estimation and Modeling. Examples include Monte Carlo techniques, Bootstrapping, and the EM algorithm. Students will use the R programming language to write their own code to carry out the above procedures.