Difference between revisions of "Math 439: Modeling with Dynamics and Control 2 Lab"
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=== Title === | === Title === | ||
+ | Modeling with Dynamics and Control 2 Lab | ||
=== (Credit Hours:Lecture Hours:Lab Hours) === | === (Credit Hours:Lecture Hours:Lab Hours) === | ||
+ | (1:0:2) | ||
=== Offered === | === Offered === | ||
+ | W | ||
=== Prerequisite === | === Prerequisite === | ||
+ | [[Math 437]]; concurrent with [[Math 438]], [[Math 405]] | ||
=== Description === | === Description === | ||
+ | Using and developing software for problems in the calculus of variations, stochastic differential equations, and stochastic optimal control. Developing models and applying the results of computations to several application domains. | ||
== Desired Learning Outcomes == | == Desired Learning Outcomes == | ||
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=== Minimal learning outcomes === | === Minimal learning outcomes === | ||
+ | Students will be able to model many real-world applications effectively using the concepts covered in [[Math 438]]. They will be able to use commercial 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, including the handling of large datasets. | ||
=== Textbooks === | === Textbooks === |
Latest revision as of 14:22, 4 May 2015
Contents
Catalog Information
Title
Modeling with Dynamics and Control 2 Lab
(Credit Hours:Lecture Hours:Lab Hours)
(1:0:2)
Offered
W
Prerequisite
Math 437; concurrent with Math 438, Math 405
Description
Using and developing software for problems in the calculus of variations, stochastic differential equations, and stochastic optimal control. Developing models and applying the results of computations to several application domains.
Desired Learning Outcomes
Prerequisites
Minimal learning outcomes
Students will be able to model many real-world applications effectively using the concepts covered in Math 438. They will be able to use commercial 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, including the handling of large datasets.
Textbooks
Possible textbooks for this course include (but are not limited to):