Difference between revisions of "Math 323: Algorithm Design and Optimization 2 Lab"
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=== Title === | === Title === | ||
− | + | Algorithm Design and Optimization 2 Lab | |
=== (Credit Hours:Lecture Hours:Lab Hours) === | === (Credit Hours:Lecture Hours:Lab Hours) === | ||
+ | (1:0:2) | ||
=== Offered === | === Offered === | ||
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=== Description === | === Description === | ||
− | + | Using existing software and writing code for algorithms taught in [[Math 322]]. Applications presented. Developing models and applying results to the application domain. | |
== 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 322. 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. | + | Students will be able to model many real-world applications effectively using the concepts covered in [[Math 322]]. 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. |
=== Textbooks === | === Textbooks === |
Latest revision as of 14:09, 4 May 2015
Contents
Catalog Information
Title
Algorithm Design and Optimization 2 Lab
(Credit Hours:Lecture Hours:Lab Hours)
(1:0:2)
Offered
W
Prerequisite
Math 321; concurrent with Math 322, Math 347
Description
Using existing software and writing code for algorithms taught in Math 322. Applications presented. Developing models and applying results to the application domain.
Desired Learning Outcomes
Prerequisites
Minimal learning outcomes
Students will be able to model many real-world applications effectively using the concepts covered in Math 322. 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.
Textbooks
Possible textbooks for this course include (but are not limited to):