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Institution:
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Clemson University
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Subject:
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Computer Science
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Description:
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Basic techniques and fundamental problems of numerical computation with an emphasis on big data. Focus is placed on practical data analysis questions that arise in areas such as engineering, health care, natural science and economics. Methods are discussed in the context of machine learning, data mining and computational problems on graphs. Students are expected to have basic knowledge of linear algebra, calculus, programming and data structures before enrolling in this course.
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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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(864) 656-4636
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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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