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Institution:
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Temple University
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Subject:
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Description:
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This course introduces students to the interdisciplinary nature of science and shows how the use of computational tools facilitates better understanding and improvements in research and technology. The applications will be at the intersection of biological and computer sciences, using basic probabilistic/machine learning techniques to address biological problems and mine data sets including topics such as genome sequencing, drug screening, and DNA micro-arrays.
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Credits:
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2.00 - 3.00
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Credit Hours:
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Prerequisites:
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A grade of C or higher in MATH 0701 (0045) or 0702 or higher, or placement into MATH 1021 (C073) or higher
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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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(215) 204-7000
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Regional Accreditation:
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Middle States Association of Colleges and Schools
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Calendar System:
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Semester
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