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Institution:
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The University of Texas at Dallas
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Subject:
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Description:
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Auto-associative, associative, competitive learning, recurrent, and back-propagation artificial neural network algorithms in a "hands-on" micro-computer laboratoryenvironment using special simulation software. Applications to perceptual, cognitive, computational, and neuroscience problems. Linear Algebra (MATH 2419) and Computer Programming experience are recommended but not required. (3-0) T
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(972) 883-2111
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Regional Accreditation:
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Southern Association of Colleges and Schools
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Calendar System:
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Semester
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