Modeling with Uncertainty and Data 1 Laboratory

Modeling with Uncertainty and Data 1 Laboratory
Using and developing algorithms for the content of Math 402; developing I/O wrappers for numerical libraries. Applications presented. Developing models and applying results of computations.
 Hours1.0 Credit, 0.0 Lecture, 2.0 Lab
 PrerequisitesC S 142 & MATH 323 & MATH 347; concurrent enrollment in Math 402.
 ProgramsContaining MATH 403
Course Outcomes


Students will be able to model specific applications using the concepts covered in Math 402, and to critique the models in the context from which the application was taken. They will be able to use software to do the computations that are central to these concepts, and will be able to interpret and apply the results of those computations in the contexts in which the models originated.