MAS.864
The Nature of Mathematical Modeling
Surveys the range of levels of description for mathematical modeling, including analytical solutions and approximations for difference and differential equations; finite difference, finite element, and discrete element numerical models; stochastic processes, nonlinear function fitting, constrained optimization, and machine learning architectures. Emphasis is on how these methods relate, and on their efficient practical implementation.
Prerequisites & course information
Prereq: Permission of instructor Acad Year 2027-2028: G (Spring) Acad Year 2028-2029: Not offered 3-0-9 units
Sources
- Course catalogue ↗2026–2027