Difference between revisions of "Math 321: Algorithm Design and Optimization 1 Lab"

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(Created page with "== Catalog Information == === Title === === (Credit Hours:Lecture Hours:Lab Hours) === === Offered === === Prerequisite === === Description === == Desired Learning Outcomes...")
 
 
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=== Title ===
 
=== Title ===
 +
Algorithm Design and Optimization 1 Lab
  
 
=== (Credit Hours:Lecture Hours:Lab Hours) ===
 
=== (Credit Hours:Lecture Hours:Lab Hours) ===
 +
(1:0:2)
  
 
=== Offered ===
 
=== Offered ===
 +
F
  
 
=== Prerequisite ===
 
=== Prerequisite ===
 +
concurrent with [[Math 320]], [[Math 345]]
  
 
=== Description ===
 
=== Description ===
 +
Programming algorithms and using functions to implement the optimization algorithms taught in [[Math 320]]. Applications presented. Developing models and applying results of computations 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 applications effectively using the concepts covered in [[Math 320]].  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 14:24, 4 May 2015

Catalog Information

Title

Algorithm Design and Optimization 1 Lab

(Credit Hours:Lecture Hours:Lab Hours)

(1:0:2)

Offered

F

Prerequisite

concurrent with Math 320, Math 345

Description

Programming algorithms and using functions to implement the optimization algorithms taught in Math 320. Applications presented. Developing models and applying results of computations to the application domain.

Desired Learning Outcomes

Prerequisites

Minimal learning outcomes

Students will be able to model many applications effectively using the concepts covered in Math 320. 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):

Additional topics

Courses for which this course is prerequisite