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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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The goal is to introduce students to modern and extremely useful topics in computational statistics. It focuses on computational aspects and provides a hands-on introduction to fundamental concepts of data analysis. The course is composed of 3 hours lecture and 2 hours lab with programming assignments in Matlab. Consequently, the students will be able to immediately see their results with programming assignments in Matlab. No prior Matlab knowledge is required. The course offers a solid foundation for further courses in data mining, machine learning, artificial intelligence, robotics, computer vision, and in general in computational statistics and scientific computing.
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Credits:
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4.00
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Credit Hours:
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Prerequisites:
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C+IN SC 1068 (0067) or 1073 (C081) with a grade of C or better, and MATH 1042 (0086) with a grade of C or better
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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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