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Comp Sci 5401: Evolutionary Computing
Introduces evolutionary algorithms, a class of stochastic, population-based algorithms inspired by natural evolution theory (e.g., genetic algorithms), capable of solving complex problems for which other techniques fail. Students will implement course concepts, tackling science, engineering and/or business problems.
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Time/Day: 09:30 AM - 10:45 AM TR Prerequisites: A "C" or better grade in both Comp Sci 2500 and in a Statistics course. Units: 3 Course Component(s): Lecture |
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Attention Distance Students
For classes produced by I.T. MediaServices: Access to live and archived media will be available in MediaSpace at mst.mediaspace.kaltura.com or in Panopto at mst.hosted.panopto.com. For more information email itms@mst.edu.
For other course content: please contact your instructor.
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| Campus | Delivery Mode | Class Status | Class Nbr | Section |
| Distance Education | Internet | FULL | 72122 | 102 |
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| Learning Management System | Canvas | |||