MATH 3110

Students will learn computer simulation and modeling techniques. They will learn simulation methodologies and techniques for random numbers and stochastic variate generation. They will also learn simulation design, analysis and estimation based on endogenously created data, simulation model validation and variance reduction. They will analyze and assess the sensitivity, applicability and limitations of each model. Students will implement simulation models for real-life applications using a computer programming language. This course is credit excluded with CPSC 3110. Students may enroll in and earn credit for only one of these courses.