Learn how nonlinear and linear regression models differ, predict variables, and their applications in data analysis for ...

Physics-informed neural networks (PINNs) have enabled significant improvements in modelling physical processes described by partial differential equations (PDEs) and are in principle capable of ...

Course description: From the course catalog: A first course in ordinary differential equations. First order equations and applications, linear equations with constant coefficients, linear systems, ...

*Note: This course discription is only applicable to the Computer Science Post-Baccalaureate program. Additionally, students must always refer to course syllabus for the most up to date information.