This course will take a case-based approach to teach current mathematical modeling techniques to graduate students. The approach will be to use numerical computations to develop models that can be used to analyze and predict behaviors that may be experimentally tested. The course should be useful for students planning to use experimental techniques as their primary approach and use computational modeling as a tool to enhance the experimental approaches. The course should also be valuable as an introductory overview for students planning to conduct their thesis research in modeling biomedical systems. The course will have four sections to cover different modeling approaches that are currently being used in biomedical research. These approaches include graph theory and network analysis, statistical models and principal component analysis, ordinary differential equation & partial differential equation-based models and stochastic & hybrid models.