Math 403: Modeling with Uncertainty and Data 1 Lab
Probability and Statistics 1 Lab
(Credit Hours:Lecture Hours:Lab Hours)
The course runs through both Spring and Summer.
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.
Desired Learning Outcomes
Minimal learning 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.
Possible textbooks for this course include (but are not limited to):